International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Recently, organizations have shown more interest in cloud computing because of the many advantages they provide (cost savings, storage capacity, scalability, and speed of loading). Enterprise resource planning (ERP) systems are one of the most important systems that have been upgraded to cloud computing. In this thesis, we focus on cloud ERP interoperability, which is an important challenge in cloud ERP. Interoperability is the ability of different components to work in independent clouds with no or minimum user effort. More than 20% of the risk rate of cloud adoption is caused by interoperability. Thus, we propose web services as a solution for cloud ERP interoperability. The proposed solution increases interoperability between different cloud service providers and between cloud ERP systems with other applications in a company.
IT professionals need to develop new skills to work with cloud technologies. Their core skills in areas like system configuration and virtualization transfer well, but they must learn skills for managing services in the cloud. These include skills in provisioning, monitoring, automation, security, and service management. Developers also need new skills like identity management, middleware use, and application architecture for the cloud. Database administrators should learn cloud storage services and how to design databases for any location.
IMPROVING PRIVACY AND SECURITY IN MULTITENANT CLOUD ERP SYSTEMSacijjournal
This paper discusses cloud ERP security challenges and their existing solutions. Initially, a set of definitions associated with ERP systems, cloud computing, and multi-tenancy, along with their respective challenges and issues regarding security and privacy, are provided. Next, a set of security challenges is listed, discussed, and mapped to the existing solutions to solve these problems. This thesis aims to build an effective approach to the cloud ERP security management model in terms of data storage, data virtualization, data isolation, and access security in cloud ERP. The following proposed techniques are used to improve the security for multi-tenant SaaS: database virtualization, implementation of data encryption and search functionality on databases and developed systems, distribution of data between tenant and ERP providers, secure application deployment in multi-tenant environments, implementation of the authentication and developed systems together as a two-factor authentication, and improved user access control for multi-tenant ERP clouds.
the evolving enterprise architecture: a digital transformation perspective is a paper describing the role of IoT in the enterprises and how the EA is related to that.
Developing a new architecture to improve itsm on cloud computing environmentijccsa
Since Cloud Providers Supply Different Types Of Services, It Service Management And The Maturity Of
The Infrastructure, Virtualization And Automation Should Be Considered Crucial And Important. Cloud
Services Must Be Fully Managed And Designed To Provide Flexible And Reliable Access To Applications,
Resources And Services. In This Paper A Comprehensive Cloud Architecture Is Proposed, Which Based On
The It Service Management Frameworks, Reference Models And Cloud Architectures To Deliver Better
Services In Cloud Computing Environment. This Architecture Reuses Concepts And Techniques Already
Exist In A Few Best Itsm Reference Models In Operational Support Services Section Such As Prm-It, Itil
V3, Hp And Mof. In Addition Etom’s Processes Are Used In Business Support Services For Billing &
Revenue Management Also Cobit5’s Process Govern Itsm Of This Architecture In Governance Of It
Section. At The Same Time, This Paper Illustrates The Relationship Between Participating Processes. Four
Core Cloud Roles Are Defined And In The Last, Five Key Processes That Any Cloud Provider Must
Manage, Are Introduced. Finally, The Quality Management Processes Are Presented In Last Section.
Knowledge management and information systemnihad341
this file would help you in writing your assignment on knowledge management and information system. I did this for a student of UK. He got a very satisfactory marks from it. Then i thought that why not help others. The course is a complex one. So, this would be my pleasure if someone really found this useful.
<a>Please visit our site for fitness products</a>
Cloud computing is the hottest topic in IT. It is virtually impossible to read a trade publication or
attend an IT conference and not be overwhelmed by discussions of the advantages and benefits
of cloud computing. In spite of all of the interest, there is still considerable confusion and
disagreement within the IT industry about the definition of cloud computing. The Cloud
Computing Journal, for example, published an article that included 21 definitions of cloud
computing. 1
Though there is confusion about the definition, the goal of cloud computing is quite clear – to
achieve an order of magnitude improvement in the cost-effective, elastic provisioning and
delivery of IT services.
This document presents a framework for estimating the value of cloud computing compared to conventional IT solutions. The framework consists of four main steps: (1) defining the business scenario including objectives, demand behavior, and technical requirements; (2) calculating the costs of fulfilling the scenario using cloud computing; (3) calculating the costs of using a reference IT solution; and (4) comparing the total costs of both approaches to estimate the value of cloud computing for that scenario. The document also provides two examples that illustrate how real-world use cases can be analyzed using this framework.
Recently, organizations have shown more interest in cloud computing because of the many advantages they provide (cost savings, storage capacity, scalability, and speed of loading). Enterprise resource planning (ERP) systems are one of the most important systems that have been upgraded to cloud computing. In this thesis, we focus on cloud ERP interoperability, which is an important challenge in cloud ERP. Interoperability is the ability of different components to work in independent clouds with no or minimum user effort. More than 20% of the risk rate of cloud adoption is caused by interoperability. Thus, we propose web services as a solution for cloud ERP interoperability. The proposed solution increases interoperability between different cloud service providers and between cloud ERP systems with other applications in a company.
IT professionals need to develop new skills to work with cloud technologies. Their core skills in areas like system configuration and virtualization transfer well, but they must learn skills for managing services in the cloud. These include skills in provisioning, monitoring, automation, security, and service management. Developers also need new skills like identity management, middleware use, and application architecture for the cloud. Database administrators should learn cloud storage services and how to design databases for any location.
IMPROVING PRIVACY AND SECURITY IN MULTITENANT CLOUD ERP SYSTEMSacijjournal
This paper discusses cloud ERP security challenges and their existing solutions. Initially, a set of definitions associated with ERP systems, cloud computing, and multi-tenancy, along with their respective challenges and issues regarding security and privacy, are provided. Next, a set of security challenges is listed, discussed, and mapped to the existing solutions to solve these problems. This thesis aims to build an effective approach to the cloud ERP security management model in terms of data storage, data virtualization, data isolation, and access security in cloud ERP. The following proposed techniques are used to improve the security for multi-tenant SaaS: database virtualization, implementation of data encryption and search functionality on databases and developed systems, distribution of data between tenant and ERP providers, secure application deployment in multi-tenant environments, implementation of the authentication and developed systems together as a two-factor authentication, and improved user access control for multi-tenant ERP clouds.
the evolving enterprise architecture: a digital transformation perspective is a paper describing the role of IoT in the enterprises and how the EA is related to that.
Developing a new architecture to improve itsm on cloud computing environmentijccsa
Since Cloud Providers Supply Different Types Of Services, It Service Management And The Maturity Of
The Infrastructure, Virtualization And Automation Should Be Considered Crucial And Important. Cloud
Services Must Be Fully Managed And Designed To Provide Flexible And Reliable Access To Applications,
Resources And Services. In This Paper A Comprehensive Cloud Architecture Is Proposed, Which Based On
The It Service Management Frameworks, Reference Models And Cloud Architectures To Deliver Better
Services In Cloud Computing Environment. This Architecture Reuses Concepts And Techniques Already
Exist In A Few Best Itsm Reference Models In Operational Support Services Section Such As Prm-It, Itil
V3, Hp And Mof. In Addition Etom’s Processes Are Used In Business Support Services For Billing &
Revenue Management Also Cobit5’s Process Govern Itsm Of This Architecture In Governance Of It
Section. At The Same Time, This Paper Illustrates The Relationship Between Participating Processes. Four
Core Cloud Roles Are Defined And In The Last, Five Key Processes That Any Cloud Provider Must
Manage, Are Introduced. Finally, The Quality Management Processes Are Presented In Last Section.
Knowledge management and information systemnihad341
this file would help you in writing your assignment on knowledge management and information system. I did this for a student of UK. He got a very satisfactory marks from it. Then i thought that why not help others. The course is a complex one. So, this would be my pleasure if someone really found this useful.
<a>Please visit our site for fitness products</a>
Cloud computing is the hottest topic in IT. It is virtually impossible to read a trade publication or
attend an IT conference and not be overwhelmed by discussions of the advantages and benefits
of cloud computing. In spite of all of the interest, there is still considerable confusion and
disagreement within the IT industry about the definition of cloud computing. The Cloud
Computing Journal, for example, published an article that included 21 definitions of cloud
computing. 1
Though there is confusion about the definition, the goal of cloud computing is quite clear – to
achieve an order of magnitude improvement in the cost-effective, elastic provisioning and
delivery of IT services.
This document presents a framework for estimating the value of cloud computing compared to conventional IT solutions. The framework consists of four main steps: (1) defining the business scenario including objectives, demand behavior, and technical requirements; (2) calculating the costs of fulfilling the scenario using cloud computing; (3) calculating the costs of using a reference IT solution; and (4) comparing the total costs of both approaches to estimate the value of cloud computing for that scenario. The document also provides two examples that illustrate how real-world use cases can be analyzed using this framework.
Prediction Based Efficient Resource Provisioning and Its Impact on QoS Parame...IJECEIAES
The purpose of this paper is to provision the on demand resources to the end users as per their need using prediction method in cloud computing environment. The provisioning of virtualized resources to cloud consumers according to their need is a crucial step in the deployment of applications on the cloud. However, the dynamical management of resources for variable workloads remains a challenging problem for cloud providers. This problem can be solved by using a prediction based adaptive resource provisioning mechanism, which can estimate the upcoming resource demands of applications. The present research introduces a prediction based resource provisioning model for the allocation of resources in advance. The proposed approach facilitates the release of unused resources in the pool with quality of service (QoS), which is defined based on prediction model to perform the allocation of resources in advance. In this work, the model is used to determine the future workload prediction for user requests on web servers, and its impact toward achieving efficient resource provisioning in terms of resource exploitation and QoS. The main contribution of this paper is to develop the prediction model for efficient and dynamic resource provisioning to meet the requirements of end users.
Interventions for scientific and enterprise applications based on high perfor...eSAT Journals
Abstract High performance computing refers to the practice of aggregating computing power in a way that delivers much higher performance than one could get out of a typical desktop computer in order to solve large problems in science, engineering or business. While cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. The scope of HPC is scientific research and engineering as well as the design of enterprise applications. As enterprise applications are data centric, user friendly, complex, scalable and often require software packages, decision support systems, warehouse while scientific applications have need of the availability of a huge number of computers for executing large scale experiments. These needs can be addressed by using high-performance and cloud computing. The goal of HPC is to reduce execution time and accommodate larger and more complicated problems. While cloud computing provides scientists with a completely new model of utilizing the computing infrastructure, computing resources, storage resources, as well as applications can be dynamically provisioned on a pay per use basis. These resources can be released when they are no more needed. This paper focuses on enabling and scaling computing systems to support the execution of scientific and business applications. Keywords: Scientific computing, enterprise applications, cloud computing, high performance computing
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
In almost every organisation, irrespective of its size and industry sector, IT infrastructure managers today are grappling with the same challenges: how to transform IT efficiency; increase agility and flexibility; and lower overheads in such a way that performance, availability, resilience, data security and compliance remain under tight control.
This document discusses the benefits of moving IT infrastructure services to cloud-based delivery models. It argues that traditional on-premise infrastructure is inefficient and limits business agility and responsiveness. The cloud offers unprecedented flexibility and cost savings by allowing infrastructure to be provisioned and managed remotely via robust networks. However, some IT managers are hesitant due to concerns over data security, performance and control. This document aims to dispel common myths about public cloud risks and shows how enterprise-grade private cloud solutions delivered over managed networks can address these concerns while delivering cloud benefits.
The document discusses cloud computing training and certification programs. It provides an overview of cloud computing challenges such as a lack of standard terminology and cloud competencies. It then describes a cloud competence development program that includes cloud computing foundation training and exams. The goal is to provide a common understanding of cloud computing, ensure business-IT alignment, and increase employee skills and career prospects. An example program for ING Banking is given that helped with a large-scale cloud project through developing internal cloud capabilities.
SUCCESS-DRIVING BUSINESS MODEL CHARACTERISTICS OF IAAS AND PAAS PROVIDERSneirew J
ABSTRACT Market analyses show that some cloud providers are significantly more successful than others. The research on the success-driving business model characteristics of cloud providers and thus, the reasons for this performance discrepancy is, however, still limited. Whereas cloud business models have mostly been examined comprehensively, independently from the distinctly different cloud ecosystem roles, this paper takes a perspective shift from an overall towards a selective, role-specific and thereby ecosystemic perspective on cloud business models. The goal of this paper is specifically to identify the success-driving business model characteristics of the so far widely neglected cloud ecosystem’s core roles, IaaS and PaaS provider, by conducting an exploratory multiple-case study. 21 expert interviews with representatives from 17 cloud providers serve as central data collection instrument. The result is a catalogue of generic as well as cloud-specific, subdivided into role-overarching and role-specific, business model characteristics. This catalogue supports cloud providers in the initial design, comparison and revision of their business models. Researchers obtain a promising starting and reference point for future analysis of business models of various cloud ecosystem roles.
A CLOUD COMPUTING USING ROUGH SET THEORY FOR CLOUD SERVICE PARAMETERS THROUGH...csandit
Cloud Computing is an awesome technology which have go ahead and annex the computing world. The development of cloud computing embed its sprouting continually in the recent era. Cloud Computing have contrived clan very lavish comfortable to perform their chore. As its fundamental defnition says that As You Pay As You Go. In this delving work talk about the cloud simulator working in our algorithm which is prepared with the help of rough set theory. The algorithm is implemented in the cloud simulator in which cloudlets, datacenters, cloud brokers are created to perform the algorithms with the help of rough sets. The Ontology is the system consists of cloud services in which cloud service discovery system is maintained. At last there is the implementation of work done using the rough set in cloud simulator using net beans and sql as back end. The net beans is loaded with the cloud Sim packages in which some of the packages are prepared according to our algorithm and gives the expected output of the optimization using rough set as a new concept.
A cloud computing using rough set theory for cloud service parameters through...csandit
Cloud Computing is an awesome technology which have go ahead and annex the computing
world. The development of cloud computing embed its sprouting continually in the recent era.
Cloud Computing have contrived clan very lavish comfortable to perform their chore. As its
fundamental defnition says that As You Pay As You Go. In this delving work talk about the cloud
simulator working in our algorithm which is prepared with the help of rough set theory. The
algorithm is implemented in the cloud simulator in which cloudlets, datacenters, cloud brokers
are created to perform the algorithms with the help of rough sets. The Ontology is the system
consists of cloud services in which cloud service discovery system is maintained. At last there is
the implementation of work done using the rough set in cloud simulator using net beans and sql
as back end. The net beans is loaded with the cloud Sim packages in which some of the
packages are prepared according to our algorithm and gives the expected output of the
optimization using rough set as a new concept
This document contains information about Information System Management (ISM) architecture and infrastructures. It covers the difference between architecture and infrastructures, ISA layers, concepts, representation, framework, elements, role in system development and components.
This document discusses the promises and realities of cloud computing. It outlines some of the key promises of cloud computing such as cost savings, increased computing power and automation, and infrastructure simplification. However, it also notes that while technology continues to evolve, users' experiences with the cloud vary and some organizations still question if the cloud can deliver on its promises. The document explores both the positive drivers for cloud adoption as well as areas like data control, performance, and security that are still works in progress.
The document discusses cloud computing as a new IT delivery and consumption model inspired by consumer internet services. It is driven by virtualization, automation, and standardization which enable economies of scale, flexible pricing, and self-service. Adoption of cloud computing will be shaped by analyzing workload characteristics and risks to determine the best delivery models of public, private or hybrid cloud.
Implementing Iris in the Railway Control Office Application for Secure Saas i...IJERA Editor
Technology plays a vital role in each and every part of the world. In particular ―Cloud‖ computing - a
moderately recent term, characterizes the path to develop the advancement in the world of computer science.
Further, Cloud provides an affordable environment for its users through different forms of services such as SaaS
(Software as a service), PaaS (Platform as a service), and IaaS (Infrastructure as a Service). Cloud computing is
also an Internet-based computing where a large pool of systems are connected in private or public networks, and
provide dynamically scalable infrastructure for application data as well as file storage. Security of Cloud
computing is an evolving sub-domain of network security, computer security and information security. In spite
of its advantages, Cloud environment has many security flaws such as loss of important data, data leakage and
something related to cloning, resource pooling etc. Security of Cloud Computing is an emerging area for study.
It includes several security and privacy issues with challenges and solutions for many security issues of cloud
computing. The Control Office Application (COA) is the latest addition to train operations related IT application
of Indian Railways. Along with the Freight Operations Information System (FOIS), COA has led to a complete
transformation in train operations and facilitates all information on train operations being computer generated. It
is this application that feeds the National Train Enquiry System (NTES) which provides passengers with up to
date information on train running. COA also provides train operations information to FOIS and ICMS. The
objective of the Indian Railways is to further improve the operations by using technological aids that enable
quicker data capture and intelligent applications that provide better planning and forecasting tools. To overcome
these issues, in Cloud computing, we can use SaaS (software as a service). In this paper, we have proposed a
new IRIS algorithm to authenticate the users of COA software in the cloud environment.
Cloudonomics: The Economics of Cloud ComputingRackspace
The document discusses four key mechanisms through which Cloud Computing generates cost savings for organizations:
1) By lowering the opportunity cost of running technology through more efficient use of resources.
2) By allowing for a shift from capital expenditure to operating expenditure, providing more flexibility.
3) By lowering the total cost of ownership of technology over time.
4) By giving organizations the ability to focus on core business activities rather than managing infrastructure. Case studies are provided to illustrate how these savings can be realized in practice.
Model-Driven Architecture for Cloud Applications Development, A survey Editor IJCATR
Model Driven Architecture and Cloud computing are among the most important paradigms in software service engineering now a days. As cloud computing continues to gain more activities, more issues and challenges for many systems with its dynamic usage are introduced. Model Driven Architecture (MDA) approach for development and maintenance becomes an evident choice for ensuring software solutions that are robust, flexible and agile for developing applications.
This paper aims to survey and analyze the research issues and challenges that have been emerging in cloud computing applications with a focus on using Model Driven architecture (MDA) development. We discuss the open research issues and highlight future research problems.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Prediction Based Efficient Resource Provisioning and Its Impact on QoS Parame...IJECEIAES
The purpose of this paper is to provision the on demand resources to the end users as per their need using prediction method in cloud computing environment. The provisioning of virtualized resources to cloud consumers according to their need is a crucial step in the deployment of applications on the cloud. However, the dynamical management of resources for variable workloads remains a challenging problem for cloud providers. This problem can be solved by using a prediction based adaptive resource provisioning mechanism, which can estimate the upcoming resource demands of applications. The present research introduces a prediction based resource provisioning model for the allocation of resources in advance. The proposed approach facilitates the release of unused resources in the pool with quality of service (QoS), which is defined based on prediction model to perform the allocation of resources in advance. In this work, the model is used to determine the future workload prediction for user requests on web servers, and its impact toward achieving efficient resource provisioning in terms of resource exploitation and QoS. The main contribution of this paper is to develop the prediction model for efficient and dynamic resource provisioning to meet the requirements of end users.
Interventions for scientific and enterprise applications based on high perfor...eSAT Journals
Abstract High performance computing refers to the practice of aggregating computing power in a way that delivers much higher performance than one could get out of a typical desktop computer in order to solve large problems in science, engineering or business. While cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. The scope of HPC is scientific research and engineering as well as the design of enterprise applications. As enterprise applications are data centric, user friendly, complex, scalable and often require software packages, decision support systems, warehouse while scientific applications have need of the availability of a huge number of computers for executing large scale experiments. These needs can be addressed by using high-performance and cloud computing. The goal of HPC is to reduce execution time and accommodate larger and more complicated problems. While cloud computing provides scientists with a completely new model of utilizing the computing infrastructure, computing resources, storage resources, as well as applications can be dynamically provisioned on a pay per use basis. These resources can be released when they are no more needed. This paper focuses on enabling and scaling computing systems to support the execution of scientific and business applications. Keywords: Scientific computing, enterprise applications, cloud computing, high performance computing
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
In almost every organisation, irrespective of its size and industry sector, IT infrastructure managers today are grappling with the same challenges: how to transform IT efficiency; increase agility and flexibility; and lower overheads in such a way that performance, availability, resilience, data security and compliance remain under tight control.
This document discusses the benefits of moving IT infrastructure services to cloud-based delivery models. It argues that traditional on-premise infrastructure is inefficient and limits business agility and responsiveness. The cloud offers unprecedented flexibility and cost savings by allowing infrastructure to be provisioned and managed remotely via robust networks. However, some IT managers are hesitant due to concerns over data security, performance and control. This document aims to dispel common myths about public cloud risks and shows how enterprise-grade private cloud solutions delivered over managed networks can address these concerns while delivering cloud benefits.
The document discusses cloud computing training and certification programs. It provides an overview of cloud computing challenges such as a lack of standard terminology and cloud competencies. It then describes a cloud competence development program that includes cloud computing foundation training and exams. The goal is to provide a common understanding of cloud computing, ensure business-IT alignment, and increase employee skills and career prospects. An example program for ING Banking is given that helped with a large-scale cloud project through developing internal cloud capabilities.
SUCCESS-DRIVING BUSINESS MODEL CHARACTERISTICS OF IAAS AND PAAS PROVIDERSneirew J
ABSTRACT Market analyses show that some cloud providers are significantly more successful than others. The research on the success-driving business model characteristics of cloud providers and thus, the reasons for this performance discrepancy is, however, still limited. Whereas cloud business models have mostly been examined comprehensively, independently from the distinctly different cloud ecosystem roles, this paper takes a perspective shift from an overall towards a selective, role-specific and thereby ecosystemic perspective on cloud business models. The goal of this paper is specifically to identify the success-driving business model characteristics of the so far widely neglected cloud ecosystem’s core roles, IaaS and PaaS provider, by conducting an exploratory multiple-case study. 21 expert interviews with representatives from 17 cloud providers serve as central data collection instrument. The result is a catalogue of generic as well as cloud-specific, subdivided into role-overarching and role-specific, business model characteristics. This catalogue supports cloud providers in the initial design, comparison and revision of their business models. Researchers obtain a promising starting and reference point for future analysis of business models of various cloud ecosystem roles.
A CLOUD COMPUTING USING ROUGH SET THEORY FOR CLOUD SERVICE PARAMETERS THROUGH...csandit
Cloud Computing is an awesome technology which have go ahead and annex the computing world. The development of cloud computing embed its sprouting continually in the recent era. Cloud Computing have contrived clan very lavish comfortable to perform their chore. As its fundamental defnition says that As You Pay As You Go. In this delving work talk about the cloud simulator working in our algorithm which is prepared with the help of rough set theory. The algorithm is implemented in the cloud simulator in which cloudlets, datacenters, cloud brokers are created to perform the algorithms with the help of rough sets. The Ontology is the system consists of cloud services in which cloud service discovery system is maintained. At last there is the implementation of work done using the rough set in cloud simulator using net beans and sql as back end. The net beans is loaded with the cloud Sim packages in which some of the packages are prepared according to our algorithm and gives the expected output of the optimization using rough set as a new concept.
A cloud computing using rough set theory for cloud service parameters through...csandit
Cloud Computing is an awesome technology which have go ahead and annex the computing
world. The development of cloud computing embed its sprouting continually in the recent era.
Cloud Computing have contrived clan very lavish comfortable to perform their chore. As its
fundamental defnition says that As You Pay As You Go. In this delving work talk about the cloud
simulator working in our algorithm which is prepared with the help of rough set theory. The
algorithm is implemented in the cloud simulator in which cloudlets, datacenters, cloud brokers
are created to perform the algorithms with the help of rough sets. The Ontology is the system
consists of cloud services in which cloud service discovery system is maintained. At last there is
the implementation of work done using the rough set in cloud simulator using net beans and sql
as back end. The net beans is loaded with the cloud Sim packages in which some of the
packages are prepared according to our algorithm and gives the expected output of the
optimization using rough set as a new concept
This document contains information about Information System Management (ISM) architecture and infrastructures. It covers the difference between architecture and infrastructures, ISA layers, concepts, representation, framework, elements, role in system development and components.
This document discusses the promises and realities of cloud computing. It outlines some of the key promises of cloud computing such as cost savings, increased computing power and automation, and infrastructure simplification. However, it also notes that while technology continues to evolve, users' experiences with the cloud vary and some organizations still question if the cloud can deliver on its promises. The document explores both the positive drivers for cloud adoption as well as areas like data control, performance, and security that are still works in progress.
The document discusses cloud computing as a new IT delivery and consumption model inspired by consumer internet services. It is driven by virtualization, automation, and standardization which enable economies of scale, flexible pricing, and self-service. Adoption of cloud computing will be shaped by analyzing workload characteristics and risks to determine the best delivery models of public, private or hybrid cloud.
Implementing Iris in the Railway Control Office Application for Secure Saas i...IJERA Editor
Technology plays a vital role in each and every part of the world. In particular ―Cloud‖ computing - a
moderately recent term, characterizes the path to develop the advancement in the world of computer science.
Further, Cloud provides an affordable environment for its users through different forms of services such as SaaS
(Software as a service), PaaS (Platform as a service), and IaaS (Infrastructure as a Service). Cloud computing is
also an Internet-based computing where a large pool of systems are connected in private or public networks, and
provide dynamically scalable infrastructure for application data as well as file storage. Security of Cloud
computing is an evolving sub-domain of network security, computer security and information security. In spite
of its advantages, Cloud environment has many security flaws such as loss of important data, data leakage and
something related to cloning, resource pooling etc. Security of Cloud Computing is an emerging area for study.
It includes several security and privacy issues with challenges and solutions for many security issues of cloud
computing. The Control Office Application (COA) is the latest addition to train operations related IT application
of Indian Railways. Along with the Freight Operations Information System (FOIS), COA has led to a complete
transformation in train operations and facilitates all information on train operations being computer generated. It
is this application that feeds the National Train Enquiry System (NTES) which provides passengers with up to
date information on train running. COA also provides train operations information to FOIS and ICMS. The
objective of the Indian Railways is to further improve the operations by using technological aids that enable
quicker data capture and intelligent applications that provide better planning and forecasting tools. To overcome
these issues, in Cloud computing, we can use SaaS (software as a service). In this paper, we have proposed a
new IRIS algorithm to authenticate the users of COA software in the cloud environment.
Cloudonomics: The Economics of Cloud ComputingRackspace
The document discusses four key mechanisms through which Cloud Computing generates cost savings for organizations:
1) By lowering the opportunity cost of running technology through more efficient use of resources.
2) By allowing for a shift from capital expenditure to operating expenditure, providing more flexibility.
3) By lowering the total cost of ownership of technology over time.
4) By giving organizations the ability to focus on core business activities rather than managing infrastructure. Case studies are provided to illustrate how these savings can be realized in practice.
Model-Driven Architecture for Cloud Applications Development, A survey Editor IJCATR
Model Driven Architecture and Cloud computing are among the most important paradigms in software service engineering now a days. As cloud computing continues to gain more activities, more issues and challenges for many systems with its dynamic usage are introduced. Model Driven Architecture (MDA) approach for development and maintenance becomes an evident choice for ensuring software solutions that are robust, flexible and agile for developing applications.
This paper aims to survey and analyze the research issues and challenges that have been emerging in cloud computing applications with a focus on using Model Driven architecture (MDA) development. We discuss the open research issues and highlight future research problems.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
This document discusses optimal selection of binary codes for pulse compression in surveillance radar. It describes how pulse compression allows radar to achieve high range resolution while maintaining high signal energy by modulating a long pulse. Binary phase coding is discussed as a method for pulse compression where a long pulse is divided into sub-pulses that are coded with either 0 or pi phase shifts according to a binary sequence. The autocorrelation properties of different binary codes impact the performance of pulse compression radar. The document aims to compare binary codes through simulation of their autocorrelation functions to identify the most optimal code for surveillance applications.
This document discusses an audio watermarking technique that embeds watermarks in the least significant bits of audio samples using bitwise XOR. It involves sampling an audio signal, embedding the binary bits of a watermark message by XORing them with audio sample bits, and applying an adjustment method to improve accuracy. The adjustment chooses a value close to the original sample while keeping the watermark bit. The watermark is extracted using bitwise XOR of the watermarked and original samples. An analysis compares the technique with and without adjustment based on mean squared error between original and watermarked signals, showing adjustment reduces error.
This document summarizes a study on electromagnetic modeling of electronic package wirebonds. It describes how the finite integration technique was used to simulate different wirebond geometries and materials. Key findings include:
1) Copper wirebonds performed better than gold in terms of transmission and reflection coefficient.
2) Increasing the total wirebond length (height + horizontal length) worsened the return loss. Shorter lengths were preferable.
3) Variations in wirebond height and position due to processing errors could cause up to 0.8dB difference in return loss between theoretical and actual positions.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
El documento describe los objetivos de realizar un estudio o tesis individual, que incluyen aplicar y profundizar los conocimientos adquiridos en una materia particular, ampliar el conocimiento sobre temas desconocidos, aclarar dudas, entender el origen de las cosas y adquirir un conocimiento profundo de un tema. También define el acto creativo como inspiración a través de lo que se siente y se expresa mediante dibujos o música, escuchando melodías para crear canciones propias.
International Journal of Computer Science, Engineering and Information Techno...ijcseit
This document discusses configuration in Software as a Service (SaaS) multi-tenancy environments. It begins by defining key cloud computing concepts like Infrastructure as a Service, Platform as a Service, and Software as a Service. It then discusses how multi-tenancy architectures allow multiple customers to use the same application instance. The document focuses on how enterprise resource planning (ERP) systems can be configured in a SaaS multi-tenant environment through tools that allow customizing stylesheets, images, scripts, text and more for each customer while maintaining a single application instance.
Software as a Service (SaaS) becomes in this decade the focus of many enterprises and research. SaaS
provides software application as Web based delivery to server many customers. This sharing of
infrastructure and application provided by Saas has a great benefit to customers, since it reduces costs,
minimizes risks, improves their competitive positioning, as well as seeks out innovative. SaaS application is
generally developed with standardized software functionalities to serve as many customers as
possible.However many customers ask to change the standardized provided functions according to their
specific business needs, and this can be achieve through the configuration and customization provided by
the SaaS vendor.Allowing many customers to change software configurations without impacting others
customers and with preserving security and efficiency of the provided services, becomes a big challenge to
SaaS vendors, who are oblige to design new strategies and architectures. Multi-tenancy (MT) architectures
allow multiple customers to be consolidated into the same operational system without changing anything in
the vendor source code. In this paper, we will present how the configuration can be done on an ERP web
application in a Multi-Tenancy SaaS environment
Software as a Service (SaaS) becomes in this decade the focus of many enterprises and research. SaaS
provides software application as Web based delivery to server many customers. This sharing of
infrastructure and application provided by Saas has a great benefit to customers, since it reduces costs,
minimizes risks, improves their competitive positioning, as well as seeks out innovative. SaaS application is
generally developed with standardized software functionalities to serve as many customers as
possible.However many customers ask to change the standardized provided functions according to their
specific business needs, and this can be achieve through the configuration and customization provided by
the SaaS vendor.Allowing many customers to change software configurations without impacting others
customers and with preserving security and efficiency of the provided services, becomes a big challenge to
SaaS vendors, who are oblige to design new strategies and architectures. Multi-tenancy (MT) architectures
allow multiple customers to be consolidated into the same operational system without changing anything in
the vendor source code. In this paper, we will present how the configuration can be done on an ERP web
application in a Multi-Tenancy SaaS environment.
International Journal of Computer Science & Information Technology (IJCSIT) ijcsit
Recently, organizations have shown more interest in cloud computing because of the many advantages they
provide (cost savings, storage capacity, scalability, and speed of loading). Enterprise resource planning
(ERP) systems are one of the most important systems that have been upgraded to cloud computing. In this
thesis, we focus on cloud ERP interoperability, which is an important challenge in cloud ERP.
Interoperability is the ability of different components to work in independent clouds with no or minimum
user effort. More than 20% of the risk rate of cloud adoption is caused by interoperability. Thus, we
propose web services as a solution for cloud ERP interoperability. The proposed solution increases
interoperability between different cloud service providers and between cloud ERP systems with other
applications in a company.
STUDY OF AN APPLICATION DEVELOPMENT ENVIRONMENT BASED ON UNITY GAME ENGINEijcsit
In the current era of smartphone, mobile games have become really popular. To the high growth rate of mobile media, online games are getting progressively well-known and have been generally played, particularly among teenage-aged citizens. Our paper is about learning the development process of an ordinary online multiplayer game model and analysis of the complexity for its mobile option by several types of testing using Unity game engine. The emphasis is put on utilizing the inherent Unity segments in a multiplayer game in particular, building up accessory practices to utilize Unity’s Scripting API for C# and incorporating outsider segments like the networking engine, 2D models, and molecule frameworks made for use with Unity and accessible through the Unity Asset Store. We choose to lead a convenient testing on the implemented mobile game application. We also make remarks on Unity as a multiplayer game improvement condition and execution engine.
Cloud Computing Deployments Should Begin With Service Definition - SOA architecture and How Cloud enhances ease of doing business in a scalable and reliable way.
Review and Classification of Cloud Computing Researchiosrjce
IOSR journal of VLSI and Signal Processing (IOSRJVSP) is a double blind peer reviewed International Journal that publishes articles which contribute new results in all areas of VLSI Design & Signal Processing. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced VLSI Design & Signal Processing concepts and establishing new collaborations in these areas.
Design and realization of microelectronic systems using VLSI/ULSI technologies require close collaboration among scientists and engineers in the fields of systems architecture, logic and circuit design, chips and wafer fabrication, packaging, testing and systems applications. Generation of specifications, design and verification must be performed at all abstraction levels, including the system, register-transfer, logic, circuit, transistor and process levels
Benefits and Challenges of the Adoption of Cloud Computing in Businessneirew J
The loss of business and downturn of economics almost occur every day. Thus technology is needed in
every organization. Cloud computing has played a major role in solving the inefficiencies problem in
organizations and increase the growth of business thus help the organizations to stay competitive. It is
required to improve and automate the traditional ways of doing business. Cloud computing has been
considered as an innovative way to improve business. Overall, cloud computing enables the organizations
to manage their business efficiently. Unnecessary procedural, administrative, hardware and software costs
in organizations expenses are avoided using cloud computing. Although cloud computing can provide
advantages but it does not mean that there are no drawbacks. Security has become the major concern in
cloud and cloud attacks too. Business organizations need to be alert against the attacks to their cloud
storage. Benefits and drawbacks of cloud computing in business will be explored in this paper. Some
solutions also provided in this paper to overcome the drawbacks. The method has been used is secondary
research, that is collecting data from published journal papers and conference papers.
BENEFITS AND CHALLENGES OF THE ADOPTION OF CLOUD COMPUTING IN BUSINESSijccsa
The loss of business and downturn of economics almost occur every day. Thus technology is needed in every organization. Cloud computing has played a major role in solving the inefficiencies problem in organizations and increase the growth of business thus help the organizations to stay competitive. It is required to improve and automate the traditional ways of doing business. Cloud computing has been considered as an innovative way to improve business. Overall, cloud computing enables the organizations to manage their business efficiently. Unnecessary procedural, administrative, hardware and software costs in organizations expenses are avoided using cloud computing. Although cloud computing can provide
advantages but it does not mean that there are no drawbacks. Security has become the major concern in cloud and cloud attacks too. Business organizations need to be alert against the attacks to their cloud storage. Benefits and drawbacks of cloud computing in business will be explored in this paper. Some solutions also provided in this paper to overcome the drawbacks. The method has been used is secondary research, that is collecting data from published journal papers and conference papers.
This document provides an overview of cloud computing, including its key characteristics, service models, deployment models, examples, advantages and limitations. Specifically, it defines cloud computing as the delivery of computing resources such as servers, storage, databases and software over the internet. It describes the main service models of software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS). It also outlines the deployment models of public, private and hybrid clouds and discusses some advantages like scalability, cost savings and disadvantages like security issues and dependence on internet connectivity.
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
The document discusses cloud computing models that could support the growing business needs of Falcon Security. It suggests that Falcon adopt cloud services like Amazon RDS for databases, Amazon S3 for storage, and Google Mail, Office 365, and Microsoft CRM online for software. The paper compares cloud computing to service-oriented architecture and discusses private, public, and hybrid cloud deployment models as well as platform as a service (PaaS), software as a service (SaaS), and service-oriented architecture (SOA).
A framework for ERP systems in sme based On cloud computing technologyijccsa
This document proposes a framework for implementing ERP systems for SMEs using cloud computing technology. It begins with an introduction discussing issues with current ERP systems and how cloud computing could address them. It then reviews background literature on ERP systems and cloud computing. The objectives of the research are outlined as comparing ERP before and after moving to cloud, proposing a generic cloud-based ERP framework for SMEs, and testing the framework. A case study of a company called Awal is discussed for evaluating the proposed framework.
Cloud computing a services business application challengesEditor Jacotech
This document discusses challenges related to adopting Software as a Service (SaaS) business applications. It reviews literature that has identified key challenges such as data security, customization, and scalability. The document provides background on cloud computing models including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). It also discusses characteristics of the SaaS cloud computing model and the business value it provides.
An Analysis on Business Value of Cloud ComputingIOSR Journals
This document analyzes the business value of cloud computing. It begins by defining cloud computing as a model for enabling on-demand access to shared computing resources over the internet. The key concepts of cloud computing including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service are described. The three cloud computing service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) - are outlined. The four deployment models of public, private, hybrid, and community clouds are also discussed. The document explores how cloud computing benefits business models by providing flexibility and a pay-as-you-go option. Ch
Recommendations for implementing cloud computing management platforms using o...IAEME Publication
This document discusses and compares four open source cloud computing management platforms: Eucalyptus, OpenNebula, Abicloud, and Nimbus. It provides an overview of each platform, including their architectures, features, and licenses. The document establishes criteria to compare the platforms, such as the types of clouds they support, supported hypervisors, security measures, and more. It then evaluates each platform based on these criteria. Finally, it provides recommendations for which types of organizations or use cases each platform may be best suited for.
Load Balancing In Cloud Computing:A ReviewIOSR Journals
Abstract: As the IT industry is growing day by day, the need of computing and storage is increasing
rapidly. The amount of data exchanged over the network is constantly increasing. Thus the process of this
increasing mass of data requires more computer equipment to meet the various needs of the organizations.
To better capitalize their investment, the over-equipped organizations open their infrastructures to others by
exploiting the Internet and other important technologies such as virtualization by creating a new computing
model: the cloud computing. Cloud computing is one of the significant milestones in recent times in the
history of computers. The basic concept of cloud computing is to provide a platform for sharing of resources
which includes software and infrastructure with the help of virtualization. This paper presents a brief review
of cloud computing. The main emphasize of this paper is on the load balancing technique in cloud
computing.
Keywords: Cloud Computing, Load Balancing, Dynamic Load Balancing, Virtualization, Data Center.
Cloud computing: Advantages and challenges in the software industry and mobil...Annie Pham
Through the majority of publications and studies, this writing presents the understanding and assessment of changes in the mobile business under the impact of cloud computing technology.
CLOUD COMPUTING: A NEW VISION OF THE DISTRIBUTED SYSTEM cscpconf
Cloud computing is a new emerging system which offers information technologies via Internet. Clients use services they need when they need and at the place they want and pay only for what they have consumed. So, cloud computing offers many advantages especially for business. A deep study and understanding of this emerging system and the inherent components help a lot in identifying what should we do in order to improve its performance. In this work, we present first cloud computing and its components then we describe an idea which attempts to optimize the management of cloud computing system that are composed of many data centers.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
Gk3311301136
1. Dr. Bright Keshwani, Rajeev Sharma/ International Journal of Engineering Research and
Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 3, May-Jun 2013, pp.1130-1136
1130 | P a g e
Study& Analysis Of Cloud Erp Solutions
Dr. Bright Keshwani1
, Rajeev Sharma2
1
(HOD,Department in Computer Application,Suresh Gyan Vihar University, Jagatpura Jaipur, Rajasthan, India)
2
(M Tech. Scholar, Department of Computer Science & Engineering.Suresh Gyan Vihar University, Jagatpura,
Jaipur, Rajasthan, India)
Abstract:
Cloud Computing is a buzzword in
computer science it has gained momentum in the
last decade. Research work shows that many
software companies is evaluating the promised
advantages and considering making use of cloud
services. It is based on rent and sharing model.
In this paper I present my view and analysis for
cloud computing and its importance for the
operation of ERP systems and SMBE (Small and
Medium Business Enterprises). As per my
opinion the phenomenon of cloud computing
could lead to a decisive change in the way
business software is deployed in companies. My
reference outline contains the three basic levels
(IaaS, PaaS, SaaS) and explains the meaning of
public, private and hybrid clouds.
The three levels of cloud computing and their
impact on ERP systems operation are discussed.
From the analysis I identify areas for further
research and sketch a research agenda.
Keywords: SMBE, Cloud Computing, Enterprise
Systems, IT Outsourcing, IT Services,
I. Surroundings and Research Area issues
“In the wake of the 2008-09 financial and
economic crises, firms have looked for ways to
consolidate their ICT infrastructures and services
and increase returns on their investments. Cloud
computing appears an attractive option.” [12]
Cloud computing is a concept that has gained
increasing attention over the last years [12]. In many
ways it is not a completely new phenomenon as it
incorporates elements of IT outsourcing which has
been available for more than 10 years (e.g. the
provision of software over the Internet or the
housing of IT infrastructure for client companies).
There are clear signs that companies’ interest in
cloud computing services is rising: “Demand for
cloud computing services is expected to continue to
increase; according to IDC, the market for cloud
computing services will grow by around 40% in
2010” [12]. Some authors argue that cloud
computing represents the future way of using
information technology in businesses [2][14]. They
point out that obtaining computer power over the
Internet could have a profound impact on the whole
computer industry and rid companies from having to
install software on their own internally operated
systems. As a consequence, they will not need to
purchase or maintain hardware and software that
can simply be rented online.
1.1 Appearance of Cloud in Computing
The development of services for cloud
computing (as a particular form of IT outsourcing)
has been stimulated by three complementary and
very influential technological achievements:
1. AJAX technology
Which enables a client to communicate with the
server in the background and to dynamically change
Web pages without reloading them. AJAX
technology helps create a “rich client”, a so called
RIA, and has boosted the use of thin clients and
mobile devices. [10]
2. The concept of multitenancy
Which describes the shared use of an installation of
a single software program by multiple client
companies using their own, private, individual data
spaces. [14]
3. Last and most importantly virtualization
Which enables the sharing of physical computer
resources. [1]
AJAX makes rich clients possible and thus improves
the capability of running an externally hosted
application locally, Multitenancy is the prerequisite
to the shared use of software, and virtualization
allows for dividing of physical resources – all three
together drive the cloud computing market.
Cloud computing, like similar forms of IT
outsourcing, is heralding certain promises to user
companies:
• The decrease of capital cost because the
customer does not acquire hardware or licenses up
front any more
• Cost transparency e.g. through pay-per-use or
subscription models
• The decrease of operational
• Increased flexibility for business processes
due to lower switching cost
• Guaranteed service level
• Simplicity through commodity
These advantages of cloud computing are backed by
the latest Ovum report (2010) and the OECD 2010
report on information technology: “Cloud
computing is one of the most discussed and
publicized technologies of recent years. Interest in
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1131 | P a g e
cloud computing is mainly motivated by its potential
to reduce capital expenditures and to deliver scalable
IT services at lower variable costs.” [12]
On the other hand, the literature discusses some
open problems [6][10]
• Permanent access (if Internet connection is down
the service is down) [14]
• Service provided can be down [14]
• Sensitive or proprietary information which cannot
be stored outside the company does not allow for
cloud computing in certain application areas
• Integration of applications run by different
providers [7]
• Lock-in with vendors (getting your data “out”
when you want to move is connected to hefty
moving fees) [14]
• Some vendors are not established players and
might not be able to sustain their operations for
long [7]
1.2 Relation of Cloud with ERP
This paper investigates the impact that
cloud computing might have on the way standard
ERP systems are operated (their “operations
model”). ERP systems are integrated software
packages with a common database that support
business processes in companies. They comprise
different functional modules that reflect the
departmental structure of a company (accounting,
procurement, sales, production, warehousing, etc.).
They are developed and offered by ERP vendors
and sold as “standard software” that fits the needs of
many companies, often optimized for certain
industries (industry or vertical solutions).Since ERP
systems support the core processes and have to
reflect the organizational structure of a company
they come in many different sizes and
specializations. Most importantly, they usually go
through a substantial customization process to make
them fit to the needs of a particular company; and
they often need to be electronically linked with other
software systems (e.g. legacy systems or partner
systems). The feasibility of such adaptations need to
be addressed before the decision for cloud
computing is taken. Whilst there is little doubt that
cloud computing can be beneficial in the areas of
office computing and work group collaboration it is
interesting to examine different forms of operating a
complex business software system (such as an ERP
system) in a cloud environment.
The parties that need to be discussed
when looking at cloud computing as an operations
model for ERP systems are the following:
1. User company (the company that uses the ERP
system for their daily business processes)
2. ERP vendor (the company developing and
selling licenses for the software)
3. Cloud service provider (the company running
the cloud environment).
4. ERP implementation partner (the company that
supports the user company with the
implementation).
1.3 Definitions and Research Area issues
There is no common definition of the term
cloud computing in the literature yet [14]. This
paper synthesizes definitions and perceptions from a
broad range of literature (academic and industry)
and provides a framework of reference for IS
(Industry Specific) research. I base our terms and
definitions on the understanding reflected in the
majority of literature sources and apply it to the area
of ERP systems. At the basis, I am using the NIST
2009 (National Institute of Standards and
Technology) definition of cloud computing which
seems to have gained common acceptance in the
literature [11][7][4]. The NIST definition describes
different types of services in a layer model
(infrastructure, platform, software) and distinguishes
private, public, community and hybrid clouds
depending on the exclusiveness of the service
model. Table contains terms and definitions and the
following section explains these concepts in more
detail.
The underlying research questions of this
paper are the following:
What impact is cloud computing going to have on
the operations model of ERP systems?
What are the future opportunities and challenges of
cloud computing for ERP systems?
In order to discuss these questions, I first
need to define and understand what exactly Cloud
computing is. For this I developed a reference
framework of underlying terms and concepts. With
the help of this framework I discuss cloud aspects
which could be influential for ERP systems. Based
on the literature and our own observations I then
propose a research agenda for “cloud computing and
ERP systems”.
The remainder of the paper is structured as
follows: First I present our literature analysis and the
resulting reference framework for cloud computing.
I then discuss the relevance of cloud computing for
ERP systems. Next I propose and discuss an IS
research agenda for cloud computing. The
concluding section contains a reflection on our
research findings and casts a look on future
research.
II. Reference outline for Cloud
Before engaging in the analysis of research
issues in the literature, I needed to understand the
phenomenon of cloud computing in detail. Table
contains the definitions which are pivotal to our
discussion. In the first step I collected all available
definitions (academic and industry) in a table. In the
second step I identified the common concepts and
distilled them into a single, coherent definition
suitable for the area of ERP
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systems.
Figure 1. Level model for cloud computing
I then supplemented it with a graphical
representation of the framework.The suggested
definitions reflect our common understanding and
perceptions and are an important part of our
research findings.
The definitions are grouped in three main areas:
1 = general terms and infrastructure
2 = service type (service model)
3 =cloud type (service boundaries)
# Term Definition Source
1
Cloud
computin
g
The operation of
infrastructure,
platforms and
software in a
virtualized
environment
whose
components can
be accessed and
used over the
Internet. The
word “cloud”
signals that
services are offered
without the need of
explicit knowledge
about where these
services are
physically located.
NIST
2009;
Smith
2010;
Johnst
on
Turner
and
Gens
2009, p.
3; Clarke
2010, p.
573
1
Cloud
service
Any provision of
access to computing
devices or human
resources including
hardware, software,
networks or staff
which are based on a
cloud computing
delivery model.
Smith
2010
1
Virtualiz
ation
The configuration of
a physical server that
allows installing
multiple instances of
Velte
2010, p.
317
virtual servers on a
single machine.
2
Software
as a
Service
(SaaS)
The provision of an
application which is
hosted (off premise)
by a provider as a
service to customers
who access it via the
Internet. In contrast
to application service
providing (ASP),
SaaS is based on a
multi tenant model
where many
customers are using
the same program
code but have their
own private data
spaces. SaaS is only
suited for software
“out of the box” that
does not require
much customization
or integration with
other
applications.
Iyer and
Henders
on
2010;
Velte
2010, p.
11
2
Platform
as a
Service
(PaaS)
The provision of
resources required to
build applications
and services
(software
development
environment) to a
customer by an
outsourcing provider.
Typical use scenarios
are application
design, development,
testing and
deployment.
Velte
2010, p.
13
2
Infrastru
cture as a
Service
(also
called
hardware
as a
service)
(IaaS)
The provision of
computing resources
(CPU cycles,
memory, storage,
network equipment)
to a customer by an
outsourcing provider.
In this service model
it is possible to share
a server among multi
tenants. The service
is typically billed on
a utility computing
basis (resource
consumption).
Velte et
al. p. 15
3
Private
cloud
The provision of a
cloud computing
environment that is
based on a collection
of physical servers
Iyer and
Henders
on
2010, p.
119;
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that are exclusively
run for one customer.
When referred to in
an outsourcing
scenario, the
customer rents
physical servers as a
dedicated resource.
Velte
2010, p.
317;
Iyer and
Henders
on
2010, p.
119;
Mell
and
Grance
2009, p.
2
3
Public
cloud
The provision of a
cloud computing
environment that is
based on a collection
of virtual servers
where multiple
customers share a
physical hardware. In
this outsourcing
model the customer
rents virtual servers
on demand.
Iyer and
Henders
on
2010, p.
118;
Velte
2010, p.
318;
Iyer and
Henders
on
2010, p.
119,
Mell
and
Grance
2009, p.
2
3
Hybrid
cloud
The provision of a
cloud computing
environment that
comprises two or
more clouds (public
and/or private). In
this outsourcing
model the customer
operates (on premise)
or rents (off premise)
a base set of physical
servers and adds
virtual servers on
demand.
Iyer and
Henders
on
2010, p.
120;
Smith
2010, p.
25;
Iyer and
Henders
on
2010, p.
120,
Mell
and
Grance
2009, p.
2
3
Commun
ity cloud
The provision of a
cloud computing
environment that is
shared by several
organizations and
which is managed by
either a participating
organization or a
Iyer and
Henders
on
2010, p.
119;
Smith
2010, p.
18; Iyer
third party. and
Henders
on
2010, p.
119;
Mell
and
Grance
2009, p.
2
3
Internal
cloud
Cloud network that
exists entirely within
a company’s own IT
infrastructure (on
premise)
Barnatt
2010, p.
95
3
External
cloud
Cloud network that is
provided to a
customer by a cloud
service provider on
the provider’s IT
infrastructure (off
premise)
Barnatt
2010, p.
95
Table . Definitions of terms
III. ERP Solution in the Cloud
Environment
In the Software-as-a-Service model the ERP
system is provided by the cloud service provider.
The roles of cloud service provider and ERP vendor
are merged in this setting (vertical integration).
There are a number of new players coming up with
offerings in the last years (in Europe e.g. e-conomic
and Scopevisio). Some “traditional” ERP vendors
have developed new versions that can be deployed
in the cloud (e.g. SAP Business ByDesign,Abacus
vi). This allows user companies to choose their
preferred operations model (e.g. running the ERP
software in their own internal cloud or in an
external private cloud).
Given its natural suitability for private
consumers and small companies, it is surprising that
many publications on cloud computing focus on the
potential of big companies and do not discuss small
and medium-sized companies (SMEs). It is easy to
see that the provision of Web 2.0 functionality gains
increasing attention in cloud computing. Web 2.0
features are usually geared at communication and
sharing.[1][3][14]
The data stored in or with such services is
usually not confidential or sensitive to attack.
ERP systems, on the other hand, need customization
which may eventually always require a private cloud
(or an ASP-like approach) where one instance of the
program is individualized for a specific company.
Multitenancy is difficult if the adaptations are too
extensive. This is easier in the area of CRM and
explains the big success of Salesforce.com with its
CRM solution.
ERP systems are different from CRM
systems in that they support all core business
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processes of a company – not just one area. Their
databases store the necessary master data about
customers and products as well as the transactional
data about the daily activities. This means that most
of the data represents company assets and is thus
critical to company operation and success.
Managers are not likely to move this data and the
processing power into the cloud when it is not
guaranteed that confidentiality of the data is assured
and that the system performs at least at the same
level as a comparable on-premise solution.
There are the following big players in the
ERP systems market (with approximate market
shares): SAP (30%), Oracle Applications (21%),
The Sage Group (18%), Microsoft Dynamics
(14%), SSA Global Technologies (7%). In
addition, there are hundreds of smaller ERP system
vendors targeting mostly the small and midsize
market. The big players have different sales models
and channels. Microsoft, for example, uses an
indirect sales channel and has built up an
ecosystem of implementation partners for their
Dynamics Suite.
The indirect sales channel limits the
possibilities for cloud services for ERP system
vendors. They would cannibalize their own
distribution partners if they offered cloud services
directly to customers. Their role is limited to
making sure that the ERP system meets the
technical requirements for virtualization and
multitenancy. It would be the natural role of the
implementation partners (ISVs and VARs) to offer
the actual cloud service to the customer.
However, it is important to note, that there
are a number of start-up companies (such as e-
conomic or Scopevisio) who have entered the ERP
market with innovative SaaS offerings. These
companies still have to prove the viability of their
business model over the next year. Due to their
small service fees, they require a large amount of
customers to be able to offer SaaS in a sustainable
operational and financial model. Looking at the
market development, the leading ERP vendors
would be well advised to focus their efforts on two
things:
1. Making their product technologically ready for
the cloud (virtualization, multitenancy)
2. Develop business models for ERP service
delivery in the cloud
An important issue that user companies
are well aware of is that ERP systems are the core
business applications of the company and need to
be integrated with circumjacent systems. When
ERP software is obtained from the cloud the
service provider has to make sure that integration
can be achieved through well documented and
open interfaces (e.g. Web services). This is a
current trend in social software where I find a
number of open API specifications (e.g. Open
Social API published by Google) [7]. In the area of
ERP systems, however, it seems unlikely that ERP
vendors will open their systems fully without
keeping a firm grip on their interfaces.
Newcomers such as e-conomic, however,
understand the new rules and follow the approach of
social software. This SaaS ERP system provider has
published API specifications on their Website. It
remains to be seen if the leading ERP system
developers will change their policy in the area of
interfaces thus adapting to current trends from the
social software movement.
The cloud could, however, even bring
advantages to ERP user companies when it comes
to data exchange across company borders (inter
organizational systems, B2B integration).
facilitation of the “the extended enterprise”. So far,
integration requires ERP users to rely on the
services of a third party that manages contracts,
infrastructure and exchange formats between
business partners (EDI gateways, B2B integration
providers)[7]. Now, these functions could be
provided directly in the form of cloud services.
AbaNet is a good example for an ERP integration
service that has already been providing B2B
integration for more than a decade for users of the
standard ERP system ABACUS.
IV. Proposed Research Agenda
From the relevant literature and
publications I identified these research areas
discussed below.
Business model for Cloud ERP
Every revolutionary paradigm shift brings
along new opportunities for doing business and
cloud computing is not an exception. Incumbents, as
well as new providers of IT services are positioning
themselves horizontally and/or vertically along the
cloud computing layers. However one of the biggest
questions being asked is how to effectively price IT
services. Different pricing models have been studied
among them e.g. fixed/variable, negotiating [5],
SLA-related ones [4] or Pay-as-you-go. Developing
nations are also seeing the opportunity of providing
cheaper hosting services [9]; Iceland’s bid to attract
huge data centre operators to setup centers there,
purporting to offer cheap, zero-emissions energy
sources is attracting huge interest, with Opera
(developer of web browser software) already
moving its data centre there (The Datacenter 2010).
Cloud computing predecessors (IT outsourcing and
ASP) have been studied using several theoretical
perspectives borrowed from the field of economics
in describing and explaining the outcomes and to
provide guidelines for practice. I believe there is a
need to look at cloud computing from such inter-
disciplinary perspectives as well in order to
establish the viability of this model and provide
guidance for practice. The problems faced by cloud
services providers of how providers can price
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infrastructure in such a way that it may impact
resource utilization. As per investigation the
relationship between the SaaS software delivery
model and the productivity of software vendors,
comparing scale economies of pure SaaS firms
versus non SaaS and mixed SaaS firms.
Cloud ERP as SaaS
Software as a Service (SaaS) is promoted
by IT providers to be mainly relevant for SMEs that
lack necessary IT capabilities and resources. Cloud
computing is likely to prove commercially viable
for many small and medium enterprises (SMEs) due
to its flexibility and pay-as-you-go cost structure,
particularly in the current climate of economic
difficulties.
However, first empirical studies have
found that large enterprises also see considerable
opportunities applying SaaS in different areas. The
software level of cloud computing will benefit small
companies because it can lower the barriers to the
use of ERP systems in general. SMEs can have
access to full-fledged ERP systems without the need
of running their own IT department or to hire an
expensive IT consultant. Analyses have been
undertaken from the perspective of service
providers. The need exists for analyses from the
viewpoints of prospective organizational users and
individual users (Clarke 2010).
Open issues for ERP Services through the cloud
There are certain challenges which still
need to be addressed before cloud computing will
become the leading paradigm of IT consumption.
IDC - International Data Corporation names
security, performance, availability, integration with
in-house IT and the difficulty of customization as
some examples (IDC 2010 Report).
There is one more barrier to the extensive
adoption of cloud computing and SaaS is
interoperability amongst the different cloud
providers and lack of an industry platform. In
theory, one way cloud computing is said to differ
from traditional IT services delivery is the absence
of long-term commitments on the consumer side,
enabling them to switch between providers at will
and at little or no cost. In practice however, users
might find themselves reluctantly tied-in and
exposed to high switching costs by a provider who
uses a proprietary format to store their data. For
cloud computing to rise to the level of an industry
platform, firms will have to open their technology to
other industry players, including complementors
and potential competitors, rather than simply using
the Web as an alternative delivery and pricing
mechanism for what used to be packages software
products.
V. Conclusions and Outlook
In my paper I developed a reference outline
for cloud computing providing terms and definitions
for IS research. I discussed the importance of the
phenomenon for ERP systems and suggested
research imperatives for future research. A
limitation of the paper is that it could only build on
the scarce body of academic literature that has been
forming since the emergence of the term in 2006
[6]. In order to address this limitation and to base
our study on a broader basis, I included books and
industry studies in our analysis. It will be interesting
to see if cloud computing will really lead to the
adoption of a zero IT strategy in companies and
what the influencing factors will be. However,
while the market for cloud computing is further
evolving, firms are well-advised to start thinking
about formulating their cloud-based strategy for
unique competitive benefits and researchers are
encouraged to assist in the identification of the
necessary capabilities. Iyer and Henderson (2010)
outlined seven capabilities of cloud computing
firms can use to develop their cloud strategies based
on their study of the cloud industry ecosystem.
What may be even more interesting is the customer
view on capabilities or factors that influence their
possibility to use a cloud service offering.
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