This document provides an overview of hybrid IT and its components. Hybrid IT is defined as a trusted broker that provides both internal and external IT services using both cloud and traditional computing styles. It discusses key aspects of hybrid IT including systems of record, engagement, and interaction. It also explores specific components for transitioning to and delivering a hybrid cloud, including workload discovery and migration. Finally, it outlines architectural patterns for hybrid service management and integration between on-premise and cloud-based systems.
Impact of busines model elements on cloud computing adoptionAndreja Pucihar
This document discusses key aspects of cloud computing including definitions, characteristics, service and deployment models, current adoption trends, and future predictions. It provides an overview of cloud computing including the evolution of the market in response to needs for scalability, cost pressures, and managing complex technologies. The main cloud computing models of Software as a Service, Platform as a Service, and Infrastructure as a Service are described along with the benefits each provides different types of users. Private, public, hybrid and community cloud deployment models are also outlined. Current adoption trends are reviewed for consumers, providers and enterprises along with statistics on cloud adoption in Slovenia and market value predictions for 2015. Research challenges around cloud computing are noted to involve considerations for adoption related to business advantage,
This paper summarizes the results of our research around data center transformation, and discusses the kind of metrics and visibility you will need to successfully migrate and manage applications in a true, high-performance Infrastructure Anywhere environment.
Servizi Cloud Computing: Scenario, Strategia e Mercato Nicoletta MaggioreApulian ICT Living Labs
Presentazione nell'ambito del workshop: OPEN DATA E CLOUD COMPUTING: OPPORTUNITÀ DI BUSINESS. Una vista internazionale - 15 Settembre 2014 Pad. 152 della Regione Puglia - 78 Fiera del Levante Bari
Asyma E3 2014 The Impact of Cloud Computing on SME'sasyma
The document discusses how cloud computing can provide benefits to small and medium-sized enterprises (SMEs). It outlines how cloud services have evolved from time-sharing mainframes to today's software-as-a-service (SaaS) models. The cloud offers SMEs important advantages like reduced costs through economies of scale, lower barriers to entry since they don't need to purchase their own software and infrastructure, and improved scalability. While concerns around data security and control remain for some businesses, the cloud is becoming increasingly important for SMEs to remain competitive through improved productivity and flexibility.
IRJET- Secure Database Management and Privacy Preserving in Cloud ServerIRJET Journal
This document discusses privacy and security concerns regarding database management and data storage in cloud servers. It proposes a solution using cryptosom generation to securely communicate with multiple cloud servers. The key points are:
1) Privacy and security are major concerns for organizations storing data in the cloud as data is no longer under their direct control.
2) The proposed method uses cryptosom generation and identity-based encryption to hide a user's identity and assign encryption keys, improving security of communications with cloud servers.
3) A proxy re-encryption scheme is also described that allows third parties to modify an encrypted ciphertext for one user so that it can be decrypted by another user, without revealing the secret value.
Grid computing is a model of distributed computing that uses geographically and administratively disparate resources to solve large problems. It involves sharing computing power, data, and other resources across organizational boundaries. Key aspects include applying resources from many computers to a single problem, combining resources from multiple administrative domains for tasks requiring large processing power or data, and using middleware to coordinate resources as a virtual system. The document then discusses definitions of grid computing from various organizations and the core functional requirements and characteristics needed for grid applications and users.
Thanks to the advent of public and private clouds, both IT and business have become more agile – more able to quickly respond to fluctuating needs and demands in information processing. However, to achieve a fully agile infrastructure, businesses need to integrate their traditional IT with clouds in all their variants. Hybrid clouds provide that path forward.
For companies considering a hybrid cloud infrastructure, there are significant concerns, with security being number one. Companies must protect corporate data and applications, even as that data moves in a geographically distributed IT infrastructure. Simultaneously, they must ensure the security of data from point of capture at the edge to consumption and storage in the back end. A second concern is ease of infrastructure management and maintenance. This concern becomes more relevant as the number of vendors and management interfaces increase. A related concern has to do with simplifying management and maintenance with automation. For automation to succeed, it requires a policy-driven infrastructure. Finally, because businesses are ultimately looking for greater agility from hybrid clouds, another key concern is the ease of application development and application deployment to production.
For this paper, we used publicly available information to compare two major hybrid cloud technology and service companies: Cisco, through its hybrid cloud portfolio, and HP, through its Helion portfolio. Although it is difficult to pinpoint exactly where each vendor falls in the hybrid cloud spectrum, we can draw a few broad conclusions. The Cisco approach is network-centric and application-centric. The HP approach, on the other hand, is more infrastructure-centric, with an emphasis in developer support, and includes some elements to support the software development lifecycle. The differences between the two companies’ approaches are clearest in the question of security. From our research, it is clear that HP and Cisco are both strong contenders. Their offerings span compute, storage, and network for hybrid clouds and offer different approaches to and levels of security, automation, SDLC support, network virtualization, cloud management, workload mobility technologies, and more. Each company has its own specific target niche in enterprise cloud deployments.
As the interconnectivity between private and public clouds grows, the world of the hybrid cloud is quickly changing. We expect significant changes in the near future –not only in offerings from Cisco and HP, but in the hybrid cloud ecosystem generally. We look forward to watching how Cisco, HP, and other cloud vendors adapt to the expansions and shifts in the future of the hybrid cloud.
Learn about IBM zEnterprise Strategy for the Private Cloud.The white paper defines the strategy for implementing the zEnterprise System as an integrated, heterogeneous, and virtualized infrastructure, ideal for supporting Infrastructure as a Service (IaaS) in cloud computing deployments.To know more about System z, visit http://ibm.co/PNo9Cb.
Impact of busines model elements on cloud computing adoptionAndreja Pucihar
This document discusses key aspects of cloud computing including definitions, characteristics, service and deployment models, current adoption trends, and future predictions. It provides an overview of cloud computing including the evolution of the market in response to needs for scalability, cost pressures, and managing complex technologies. The main cloud computing models of Software as a Service, Platform as a Service, and Infrastructure as a Service are described along with the benefits each provides different types of users. Private, public, hybrid and community cloud deployment models are also outlined. Current adoption trends are reviewed for consumers, providers and enterprises along with statistics on cloud adoption in Slovenia and market value predictions for 2015. Research challenges around cloud computing are noted to involve considerations for adoption related to business advantage,
This paper summarizes the results of our research around data center transformation, and discusses the kind of metrics and visibility you will need to successfully migrate and manage applications in a true, high-performance Infrastructure Anywhere environment.
Servizi Cloud Computing: Scenario, Strategia e Mercato Nicoletta MaggioreApulian ICT Living Labs
Presentazione nell'ambito del workshop: OPEN DATA E CLOUD COMPUTING: OPPORTUNITÀ DI BUSINESS. Una vista internazionale - 15 Settembre 2014 Pad. 152 della Regione Puglia - 78 Fiera del Levante Bari
Asyma E3 2014 The Impact of Cloud Computing on SME'sasyma
The document discusses how cloud computing can provide benefits to small and medium-sized enterprises (SMEs). It outlines how cloud services have evolved from time-sharing mainframes to today's software-as-a-service (SaaS) models. The cloud offers SMEs important advantages like reduced costs through economies of scale, lower barriers to entry since they don't need to purchase their own software and infrastructure, and improved scalability. While concerns around data security and control remain for some businesses, the cloud is becoming increasingly important for SMEs to remain competitive through improved productivity and flexibility.
IRJET- Secure Database Management and Privacy Preserving in Cloud ServerIRJET Journal
This document discusses privacy and security concerns regarding database management and data storage in cloud servers. It proposes a solution using cryptosom generation to securely communicate with multiple cloud servers. The key points are:
1) Privacy and security are major concerns for organizations storing data in the cloud as data is no longer under their direct control.
2) The proposed method uses cryptosom generation and identity-based encryption to hide a user's identity and assign encryption keys, improving security of communications with cloud servers.
3) A proxy re-encryption scheme is also described that allows third parties to modify an encrypted ciphertext for one user so that it can be decrypted by another user, without revealing the secret value.
Grid computing is a model of distributed computing that uses geographically and administratively disparate resources to solve large problems. It involves sharing computing power, data, and other resources across organizational boundaries. Key aspects include applying resources from many computers to a single problem, combining resources from multiple administrative domains for tasks requiring large processing power or data, and using middleware to coordinate resources as a virtual system. The document then discusses definitions of grid computing from various organizations and the core functional requirements and characteristics needed for grid applications and users.
Thanks to the advent of public and private clouds, both IT and business have become more agile – more able to quickly respond to fluctuating needs and demands in information processing. However, to achieve a fully agile infrastructure, businesses need to integrate their traditional IT with clouds in all their variants. Hybrid clouds provide that path forward.
For companies considering a hybrid cloud infrastructure, there are significant concerns, with security being number one. Companies must protect corporate data and applications, even as that data moves in a geographically distributed IT infrastructure. Simultaneously, they must ensure the security of data from point of capture at the edge to consumption and storage in the back end. A second concern is ease of infrastructure management and maintenance. This concern becomes more relevant as the number of vendors and management interfaces increase. A related concern has to do with simplifying management and maintenance with automation. For automation to succeed, it requires a policy-driven infrastructure. Finally, because businesses are ultimately looking for greater agility from hybrid clouds, another key concern is the ease of application development and application deployment to production.
For this paper, we used publicly available information to compare two major hybrid cloud technology and service companies: Cisco, through its hybrid cloud portfolio, and HP, through its Helion portfolio. Although it is difficult to pinpoint exactly where each vendor falls in the hybrid cloud spectrum, we can draw a few broad conclusions. The Cisco approach is network-centric and application-centric. The HP approach, on the other hand, is more infrastructure-centric, with an emphasis in developer support, and includes some elements to support the software development lifecycle. The differences between the two companies’ approaches are clearest in the question of security. From our research, it is clear that HP and Cisco are both strong contenders. Their offerings span compute, storage, and network for hybrid clouds and offer different approaches to and levels of security, automation, SDLC support, network virtualization, cloud management, workload mobility technologies, and more. Each company has its own specific target niche in enterprise cloud deployments.
As the interconnectivity between private and public clouds grows, the world of the hybrid cloud is quickly changing. We expect significant changes in the near future –not only in offerings from Cisco and HP, but in the hybrid cloud ecosystem generally. We look forward to watching how Cisco, HP, and other cloud vendors adapt to the expansions and shifts in the future of the hybrid cloud.
Learn about IBM zEnterprise Strategy for the Private Cloud.The white paper defines the strategy for implementing the zEnterprise System as an integrated, heterogeneous, and virtualized infrastructure, ideal for supporting Infrastructure as a Service (IaaS) in cloud computing deployments.To know more about System z, visit http://ibm.co/PNo9Cb.
This document provides an overview of cloud computing and grid computing, including definitions, applications, and how the technologies work. It also discusses security issues related to cloud and grid computing. Cloud computing allows sharing of computing resources over the internet, while grid computing links dispersed computers to form a large infrastructure. Some key security threats to data in the cloud are data breaches, data loss, account hijacking, and denial of service attacks. The document provides details on various cloud computing models and compares cloud computing to grid computing.
Services, security challenges and security policies in cloud computingeSAT Journals
Abstract Cloud computing is becoming most emerging trend in IT industry. With its potential growth and lucrative services cloud computing has acquired mass market in the industry large enterprises running their business on the cloud. A greater acceptance of public cloud by various businesses has given it a wide popularity, strengthening of public cloud security is big milestone. The public cloud acceptance is increasing along with the trust in public cloud at large extent. As the security is most vital factor in the cloud. Handovering data to the cloud service provider keeps cloud user tensed. Different threats have been discovered in recent years. Database security in public cloud raised some critical issues for cloud service provider. This rapid adaptation to the clouds, have increased concerns on a critical issue for successive growth of communication technology and information security. From a cloud security perspective, a number of unexplored risks and challenges are faced by cloud because of migration, causing degradation of the effectiveness of traditional protection mechanisms. Keywords: Cloud computing, Cloud DBaaS, public cloud, Cloud Security, Confidentiality, Trust, Encryption.
A premeditated cdm algorithm in cloud computing environment for fpm 2IAEME Publication
This document discusses applying data mining techniques in a cloud computing environment. It begins with an introduction to cloud computing, describing its key characteristics including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The document then provides an overview of common data mining techniques like association, classification, clustering, prediction, and sequential patterns. It reviews recent studies applying these techniques in cloud and distributed systems. The document proposes a new Cloud Data Mining (CDM) algorithm that performs data mining in both cloud and non-cloud environments and compares the costs of each approach.
The document discusses cloud computing and its deployment models. It defines cloud computing according to NIST and Gartner and explains its characteristics including grid computing, virtualization, utility computing, and autonomic computing. It describes private, public, and hybrid cloud deployment models and provides examples. The document also discusses establishing cloud control through developing strategies and standards. It outlines reasons to consider and avoid adopting cloud computing.
This document provides an overview of cloud computing technology and infrastructure. It discusses key concepts like Infrastructure as a Service (IaaS), the various deployment models (private, public, hybrid, and community clouds), and essential characteristics of cloud computing like on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The document also outlines the architecture of cloud systems and how engineering principles are applied to cloud computing. It aims to give readers an understanding of IaaS and the technical aspects that underpin cloud infrastructure.
IRJET- Comparatively Analysis on K-Means++ and Mini Batch K-Means Clustering ...IRJET Journal
This document provides an overview and comparative analysis of the K-Means++ and Mini Batch K-Means clustering algorithms in cloud computing using MapReduce. It first introduces cloud computing and its advantages for processing big data using Hadoop MapReduce. It then discusses the K-Means++ algorithm as an improved version of the standard K-Means algorithm that initializes cluster centroids more intelligently. Finally, it compares the performance of K-Means++ and Mini Batch K-Means when implemented using MapReduce for large-scale clustering in cloud environments.
What began as tiny baby steps to bridge gaps of human limitations like memory, cognitive fluctuations has today turned into a virtual revolution where an invisible world of 0’s and 1’s is home to the most important bytes and pieces of our lives. Replacing the need for local servers, cloud computing emerged as the matrix within which multiple remote servers coordinated together to store, manage and administer data. The two other baits in the cloud computing movement is the live/real-time information updating and light-speed transfer of data. Initially, it was the center for large-scale corporations. In the last few years, small-scale and medium-sized organizations have also joined the army of cloud computing era. The analytics of the cloud computing culture swing between the spectrums ranging from the sustainability of cloud computing to the increased carbon emissions due to servers.
Read the full blog here:
http://suyati.com/culture-of-cloud-computing-a-green-move-or-eco-death/
Or reach us at: jghosh@suyati.com
This document compares and contrasts cloud computing and grid computing. Grid computing refers to cooperation between multiple computers and servers to boost computational power, with a focus on high-capacity CPU tasks. Cloud computing delivers on-demand access to shared computing resources like networks, servers, storage and applications via the internet. Key differences include grid computing having a lower level of abstraction and scalability compared to cloud computing. Cloud computing also has stronger fault tolerance, is more widely accessible via the internet, and offers real-time services through its utility-based pricing model.
Smart, Secure and Efficient Data Sharing in IoTAngelo Corsaro
This document discusses smart, secure and efficient data sharing in the Internet of Things (IoT) using the Data Distribution Service (DDS) standard. It provides an overview of DDS, explaining that DDS allows applications to asynchronously read and write data in a distributed data space while being isolated from network topology details. It highlights key DDS capabilities like data-centric publishing, quality of service policies, security features, and examples of how DDS can enable smart factories, connected vehicles and other industrial IoT applications. The document also includes examples of writing and reading data using DDS in Python.
Hybrid Cloud Architecture: How to Streamline Hybrid Cloud MigrationJulia Smith
Cloud computing is a widespread phenomenon that promises economic advantages, speed, agility, flexibility, scalability and innovation. By 2014, IT organizations in 30% of Global 1000 companies will integrate and customize two or more cloud services for internal and external users. This white paper examines the hybrid cloud environment and identifies solutions that make migrating into and between cloud environments an automated process.
IRJET- A Review on K-Means++ Clustering Algorithm and Cloud Computing wit...IRJET Journal
This document provides an overview of K-means++ clustering algorithm and how it can be implemented using MapReduce in cloud computing. It first discusses cloud computing and its ability to handle big data through flexibility and scalability. It then explains Hadoop and MapReduce, which provide a framework to parallelize processing of large datasets. The document describes the K-means++ clustering algorithm, which improves upon standard K-means by better initializing cluster centroids. Finally, it outlines how K-means++ can be implemented in MapReduce by splitting data and computing distances across mappers and reducers.
This document provides an overview of grid computing. It defines grid computing as a distributed architecture that connects a large number of computers to solve complex problems. Grids link computing resources from multiple locations through networks like the internet to achieve a common goal. Middleware is used to connect users to grids and hides their complexity. Grids allow resources from hundreds of computers to be combined, providing massively powerful computing accessible from any personal computer. This increases productivity and scalability while providing flexible computing power where needed.
This white paper discusses five considerations for securing hybrid clouds: 1) gaining constant visibility through continuous monitoring, 2) employing a workload-centric security model, 3) leveraging automation for operational efficiency, 4) applying the right control to the right assets, and 5) employing an integrated security solution for breadth and depth. Hybrid clouds are becoming more common as they allow organizations to take advantage of both internal and external cloud-based infrastructure. However, their dynamic nature presents new security challenges that require solutions designed specifically for hybrid cloud environments.
Cloud computing is Internet based development and use of computer technology. It is a style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet. Users need not have knowledge of, expertise in, or control over the technology infrastructure "in the cloud" that supports them. Cloud computing is a hot topic all over the world nowadays, through which customers can access information and computer power via a web browser. As the adoption and deployment of cloud computing increase, it is critical to evaluate the performance of cloud environments. Currently, modeling and simulation technology has become a useful and powerful tool in cloud computing research community to deal with these issues. Cloud simulators are required for cloud system testing to decrease the complexity and separate quality concerns. Cloud computing means saving and accessing the data over the internet instead of local storage. In this paper, we have provided a short review on the types, models and architecture of the cloud environment.
A computer cluster could be a group of joined computers, operating along closely so in several respects they type one laptop. The parts of a cluster area unit ordinarily, however not forever, connected to every different through quick native space networks. Clusters area unit typically deployed to enhance performance and or handiness over that provided by one laptop, whereas usually being far more cost efficient than single computers of comparable speed or accessibility.The major objective within the cluster is utilizing a bunch of process nodes therefore on complete the assigned job in an exceedingly minimum quantity of your time by operating hand in glove. the most and necessary strategy to realize such objective is by transferring the additional hundreds from busy nodes to idle nodes.In this paper weve presented style and of a cluster based framework . The cluster implementation involves the planning of a server named MCLUSTER that manages the configuring, resetting of cluster. Framework handles the generation of application mobile code and its distribution to appropriate client nodes. The consumer node receives and executes the mobile code that defines the distributed job submitted by MCLUSTER server and replies the results back. Trupti Bhor | Yogeshchandra Puranik "An Introduction to Cluster Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42561.pdf Paper URL: https://www.ijtsrd.comengineering/computer-engineering/42561/an-introduction-to-cluster-computing/trupti-bhor
Achieving High Performance Distributed System: Using Grid, Cluster and Cloud ...IJERA Editor
To increase the efficiency of any task, we require a system that would provide high performance along with flexibilities and cost efficiencies for user. Distributed computing, as we are all aware, has become very popular over the past decade. Distributed computing has three major types, namely, cluster, grid and cloud. In order to develop a high performance distributed system, we need to utilize all the above mentioned three types of computing. In this paper, we shall first have an introduction of all the three types of distributed computing. Subsequently examining them we shall explore trends in computing and green sustainable computing to enhance the performance of a distributed system. Finally presenting the future scope, we conclude the paper suggesting a path to achieve a Green high performance distributed system using cluster, grid and cloud computing.
This document discusses security protocols for high performance grid computing architectures. It analyzes the different network layers in grid computing protocols and identifies various security disciplines. It also analyzes various security suites available in the TCP/IP protocol architecture. The paper aims to define security disciplines at different levels of cluster computing architecture and propose applicable security suites from the TCP/IP security protocol suite. Grid computing allows sharing and aggregation of distributed computing resources to enable more powerful applications. Security is an important consideration in grid computing due to sharing resources across administrative domains.
La educación es el medio para transmitir conocimiento a las personas y demostrar lo aprendido a través de preguntas, ya que es la formación que recibe un docente para enseñar sobre temas específicos.
Dynamic. Моторные всесезонные минеральные и полусинтетические маслаROSNEFTESINTEZ
Линейка универсальных моторных масел, изготовленных из высококачественных базовых масел глубокой очистки с использованием специально подобранного и сбалансированного пакета присадок. Используются для круглогодичного применения в:
- высоконагруженных четырехтактных дизельных двигателях (как с турбонаддувом, так и без него) грузовых автомобилей отечественного и зарубежного производства;
- высокофорсированных безнаддувных бензиновых двигателях;
- тяжелой внедорожной, сельскохозяйственной технике, автобусах и прочем грузовом автотранспорте.
This document provides an overview of cloud computing and grid computing, including definitions, applications, and how the technologies work. It also discusses security issues related to cloud and grid computing. Cloud computing allows sharing of computing resources over the internet, while grid computing links dispersed computers to form a large infrastructure. Some key security threats to data in the cloud are data breaches, data loss, account hijacking, and denial of service attacks. The document provides details on various cloud computing models and compares cloud computing to grid computing.
Services, security challenges and security policies in cloud computingeSAT Journals
Abstract Cloud computing is becoming most emerging trend in IT industry. With its potential growth and lucrative services cloud computing has acquired mass market in the industry large enterprises running their business on the cloud. A greater acceptance of public cloud by various businesses has given it a wide popularity, strengthening of public cloud security is big milestone. The public cloud acceptance is increasing along with the trust in public cloud at large extent. As the security is most vital factor in the cloud. Handovering data to the cloud service provider keeps cloud user tensed. Different threats have been discovered in recent years. Database security in public cloud raised some critical issues for cloud service provider. This rapid adaptation to the clouds, have increased concerns on a critical issue for successive growth of communication technology and information security. From a cloud security perspective, a number of unexplored risks and challenges are faced by cloud because of migration, causing degradation of the effectiveness of traditional protection mechanisms. Keywords: Cloud computing, Cloud DBaaS, public cloud, Cloud Security, Confidentiality, Trust, Encryption.
A premeditated cdm algorithm in cloud computing environment for fpm 2IAEME Publication
This document discusses applying data mining techniques in a cloud computing environment. It begins with an introduction to cloud computing, describing its key characteristics including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The document then provides an overview of common data mining techniques like association, classification, clustering, prediction, and sequential patterns. It reviews recent studies applying these techniques in cloud and distributed systems. The document proposes a new Cloud Data Mining (CDM) algorithm that performs data mining in both cloud and non-cloud environments and compares the costs of each approach.
The document discusses cloud computing and its deployment models. It defines cloud computing according to NIST and Gartner and explains its characteristics including grid computing, virtualization, utility computing, and autonomic computing. It describes private, public, and hybrid cloud deployment models and provides examples. The document also discusses establishing cloud control through developing strategies and standards. It outlines reasons to consider and avoid adopting cloud computing.
This document provides an overview of cloud computing technology and infrastructure. It discusses key concepts like Infrastructure as a Service (IaaS), the various deployment models (private, public, hybrid, and community clouds), and essential characteristics of cloud computing like on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The document also outlines the architecture of cloud systems and how engineering principles are applied to cloud computing. It aims to give readers an understanding of IaaS and the technical aspects that underpin cloud infrastructure.
IRJET- Comparatively Analysis on K-Means++ and Mini Batch K-Means Clustering ...IRJET Journal
This document provides an overview and comparative analysis of the K-Means++ and Mini Batch K-Means clustering algorithms in cloud computing using MapReduce. It first introduces cloud computing and its advantages for processing big data using Hadoop MapReduce. It then discusses the K-Means++ algorithm as an improved version of the standard K-Means algorithm that initializes cluster centroids more intelligently. Finally, it compares the performance of K-Means++ and Mini Batch K-Means when implemented using MapReduce for large-scale clustering in cloud environments.
What began as tiny baby steps to bridge gaps of human limitations like memory, cognitive fluctuations has today turned into a virtual revolution where an invisible world of 0’s and 1’s is home to the most important bytes and pieces of our lives. Replacing the need for local servers, cloud computing emerged as the matrix within which multiple remote servers coordinated together to store, manage and administer data. The two other baits in the cloud computing movement is the live/real-time information updating and light-speed transfer of data. Initially, it was the center for large-scale corporations. In the last few years, small-scale and medium-sized organizations have also joined the army of cloud computing era. The analytics of the cloud computing culture swing between the spectrums ranging from the sustainability of cloud computing to the increased carbon emissions due to servers.
Read the full blog here:
http://suyati.com/culture-of-cloud-computing-a-green-move-or-eco-death/
Or reach us at: jghosh@suyati.com
This document compares and contrasts cloud computing and grid computing. Grid computing refers to cooperation between multiple computers and servers to boost computational power, with a focus on high-capacity CPU tasks. Cloud computing delivers on-demand access to shared computing resources like networks, servers, storage and applications via the internet. Key differences include grid computing having a lower level of abstraction and scalability compared to cloud computing. Cloud computing also has stronger fault tolerance, is more widely accessible via the internet, and offers real-time services through its utility-based pricing model.
Smart, Secure and Efficient Data Sharing in IoTAngelo Corsaro
This document discusses smart, secure and efficient data sharing in the Internet of Things (IoT) using the Data Distribution Service (DDS) standard. It provides an overview of DDS, explaining that DDS allows applications to asynchronously read and write data in a distributed data space while being isolated from network topology details. It highlights key DDS capabilities like data-centric publishing, quality of service policies, security features, and examples of how DDS can enable smart factories, connected vehicles and other industrial IoT applications. The document also includes examples of writing and reading data using DDS in Python.
Hybrid Cloud Architecture: How to Streamline Hybrid Cloud MigrationJulia Smith
Cloud computing is a widespread phenomenon that promises economic advantages, speed, agility, flexibility, scalability and innovation. By 2014, IT organizations in 30% of Global 1000 companies will integrate and customize two or more cloud services for internal and external users. This white paper examines the hybrid cloud environment and identifies solutions that make migrating into and between cloud environments an automated process.
IRJET- A Review on K-Means++ Clustering Algorithm and Cloud Computing wit...IRJET Journal
This document provides an overview of K-means++ clustering algorithm and how it can be implemented using MapReduce in cloud computing. It first discusses cloud computing and its ability to handle big data through flexibility and scalability. It then explains Hadoop and MapReduce, which provide a framework to parallelize processing of large datasets. The document describes the K-means++ clustering algorithm, which improves upon standard K-means by better initializing cluster centroids. Finally, it outlines how K-means++ can be implemented in MapReduce by splitting data and computing distances across mappers and reducers.
This document provides an overview of grid computing. It defines grid computing as a distributed architecture that connects a large number of computers to solve complex problems. Grids link computing resources from multiple locations through networks like the internet to achieve a common goal. Middleware is used to connect users to grids and hides their complexity. Grids allow resources from hundreds of computers to be combined, providing massively powerful computing accessible from any personal computer. This increases productivity and scalability while providing flexible computing power where needed.
This white paper discusses five considerations for securing hybrid clouds: 1) gaining constant visibility through continuous monitoring, 2) employing a workload-centric security model, 3) leveraging automation for operational efficiency, 4) applying the right control to the right assets, and 5) employing an integrated security solution for breadth and depth. Hybrid clouds are becoming more common as they allow organizations to take advantage of both internal and external cloud-based infrastructure. However, their dynamic nature presents new security challenges that require solutions designed specifically for hybrid cloud environments.
Cloud computing is Internet based development and use of computer technology. It is a style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet. Users need not have knowledge of, expertise in, or control over the technology infrastructure "in the cloud" that supports them. Cloud computing is a hot topic all over the world nowadays, through which customers can access information and computer power via a web browser. As the adoption and deployment of cloud computing increase, it is critical to evaluate the performance of cloud environments. Currently, modeling and simulation technology has become a useful and powerful tool in cloud computing research community to deal with these issues. Cloud simulators are required for cloud system testing to decrease the complexity and separate quality concerns. Cloud computing means saving and accessing the data over the internet instead of local storage. In this paper, we have provided a short review on the types, models and architecture of the cloud environment.
A computer cluster could be a group of joined computers, operating along closely so in several respects they type one laptop. The parts of a cluster area unit ordinarily, however not forever, connected to every different through quick native space networks. Clusters area unit typically deployed to enhance performance and or handiness over that provided by one laptop, whereas usually being far more cost efficient than single computers of comparable speed or accessibility.The major objective within the cluster is utilizing a bunch of process nodes therefore on complete the assigned job in an exceedingly minimum quantity of your time by operating hand in glove. the most and necessary strategy to realize such objective is by transferring the additional hundreds from busy nodes to idle nodes.In this paper weve presented style and of a cluster based framework . The cluster implementation involves the planning of a server named MCLUSTER that manages the configuring, resetting of cluster. Framework handles the generation of application mobile code and its distribution to appropriate client nodes. The consumer node receives and executes the mobile code that defines the distributed job submitted by MCLUSTER server and replies the results back. Trupti Bhor | Yogeshchandra Puranik "An Introduction to Cluster Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42561.pdf Paper URL: https://www.ijtsrd.comengineering/computer-engineering/42561/an-introduction-to-cluster-computing/trupti-bhor
Achieving High Performance Distributed System: Using Grid, Cluster and Cloud ...IJERA Editor
To increase the efficiency of any task, we require a system that would provide high performance along with flexibilities and cost efficiencies for user. Distributed computing, as we are all aware, has become very popular over the past decade. Distributed computing has three major types, namely, cluster, grid and cloud. In order to develop a high performance distributed system, we need to utilize all the above mentioned three types of computing. In this paper, we shall first have an introduction of all the three types of distributed computing. Subsequently examining them we shall explore trends in computing and green sustainable computing to enhance the performance of a distributed system. Finally presenting the future scope, we conclude the paper suggesting a path to achieve a Green high performance distributed system using cluster, grid and cloud computing.
This document discusses security protocols for high performance grid computing architectures. It analyzes the different network layers in grid computing protocols and identifies various security disciplines. It also analyzes various security suites available in the TCP/IP protocol architecture. The paper aims to define security disciplines at different levels of cluster computing architecture and propose applicable security suites from the TCP/IP security protocol suite. Grid computing allows sharing and aggregation of distributed computing resources to enable more powerful applications. Security is an important consideration in grid computing due to sharing resources across administrative domains.
La educación es el medio para transmitir conocimiento a las personas y demostrar lo aprendido a través de preguntas, ya que es la formación que recibe un docente para enseñar sobre temas específicos.
Dynamic. Моторные всесезонные минеральные и полусинтетические маслаROSNEFTESINTEZ
Линейка универсальных моторных масел, изготовленных из высококачественных базовых масел глубокой очистки с использованием специально подобранного и сбалансированного пакета присадок. Используются для круглогодичного применения в:
- высоконагруженных четырехтактных дизельных двигателях (как с турбонаддувом, так и без него) грузовых автомобилей отечественного и зарубежного производства;
- высокофорсированных безнаддувных бензиновых двигателях;
- тяжелой внедорожной, сельскохозяйственной технике, автобусах и прочем грузовом автотранспорте.
El diseño se define como un proceso de configuración mental para encontrar soluciones creativas. El diseñador trabaja en campos como la industria, ingeniería, arquitectura y comunicación. Existen diferentes tipos de diseño como el gráfico, publicitario, arquitectónico, de espacios, industrial, de modas y textil. Cada uno se enfoca en proyectar objetos, mensajes, edificios o prendas de acuerdo a sus necesidades específicas.
Este documento presenta una exposición sobre los diferentes tipos de monitores, incluyendo monitores CRT, TFT, LCD, de plasma, LED y 3D. Describe las características y componentes clave de cada tipo de monitor, así como sus tamaños y precios comunes. También incluye información sobre medidas de precaución al usar monitores y las marcas más vendidas de monitores en el mundo.
Un diseño es un proceso para crear objetos visuales que comunican mensajes específicos. Los elementos básicos del diseño incluyen líneas, formas, textura, espacio y formato. Estos elementos se pueden combinar de diferentes maneras para organizar información y dirigir la atención visual del espectador.
El documento describe tres tipos de conectores de entrada/salida para computadoras: el conector USB, que puede transmitir hasta 480 Mbps; el conector PS/2-miniDIN de 6 pines; y el conector PS/1-DIN de 5 pines.
Este documento describe los diferentes tipos de teclados, incluyendo sus características, conectores y precios. Explica que el teclado es un dispositivo de entrada que utiliza teclas para enviar información a la computadora. Luego describe los diferentes bloques del teclado y los tipos comunes de conectores como DB-9 y DB-25. También cubre las diferencias entre los teclados españoles, latinoamericanos y estadounidenses, así como una lista de precios de algunos teclados populares.
This document discusses Philip DeFranco's YouTube channel and potential new shows. It mentions hooking up Maker videos, The Philip DeFranco Show, and raising money for charity. The document suggests DeFranco as one of YouTube's best collaborators who may start a new show.
Uday Kiran has over 5 years of experience as a software engineer specializing in SharePoint development. He has extensive experience planning, designing, developing and deploying SharePoint applications including SharePoint Server 2010/2013. Some of his technical skills include ASP.NET, C#, JavaScript, AngularJS, SQL Server, and he has experience developing applications for both SharePoint on-premises and SharePoint Online. He has worked on projects involving migration from other platforms to SharePoint, building custom SharePoint solutions, and developing web and mobile applications that integrate with SharePoint.
El documento describe la evolución de los teclados para PC. El primer teclado XT de 1981 tenía 83 teclas y era unidireccional, mientras que el teclado AT de 1984 tenía 84 teclas y era bidireccional. Posteriormente, en 1987 IBM desarrolló el teclado MF-II con más teclas y soporte para más códigos de escaneo, y Microsoft introdujo en 1998 un teclado extendido de 104 teclas diseñado específicamente para su sistema operativo Windows.
El documento habla sobre los discos duros. Explica que un disco duro es un dispositivo de almacenamiento electrónico que guarda grandes cantidades de datos. Luego describe los componentes de un disco duro, su historia y evolución, y diferentes tipos como internos, externos portátiles y de escritorio. Finalmente menciona algunas marcas populares y una nueva tecnología basada en láser.
Este documento proporciona una revisión de las principales características productivas (peso de vellón sucio y finura) y tecnológicas (coeficiente de variación de la finura, finura al hilado, índice de curvatura, factor de confor y longitud de mecha) de la fibra de alpaca. También analiza los principales factores ambientales que afectan estas características, con el fin de demostrar las ventajas de la fibra de alpaca para la industria textil en comparación con otras especies animales. Se con
Un controlador de dispositivo es un programa que permite al sistema operativo interactuar con periféricos de hardware, proporcionando una interfaz estandarizada. Existen controladores para cada tipo de periférico, y múltiples controladores pueden existir para un mismo dispositivo, ofreciendo diferentes niveles de funcionalidad. Los controladores son esenciales para usar el hardware.
An Efficient MDC based Set Partitioned Embedded Block Image CodingDr. Amarjeet Singh
In this paper, fast, efficient, simple and widely used
Set Partitioned Embedded bloCK based coding is done on
Multiple Descriptions of transformed image. The maximum
potential of this type of coding can be exploited with discrete
wavelet transform (DWT) of images. Two correlated
descriptions are generated from a wavelet transformed image
to ensure meaningful transmission of the image over noise
prone wireless channels. These correlated descriptions are
encoded by set partitioning technique through SPECK coders
and transmitted over wireless channels. Quality of
reconstructed image at the decoder side depends upon the
number of descriptions received. More the number of
descriptions received at output side, more enhance the quality
of reconstructed image. However, if any of the multiple
description is lost, the receive can estimate it exploiting the
correlation between the descriptions. The simulations
performed on an image on MATLAB gives decent
performance and results even after half of the descriptions is
lost in transmission.
Swiftly increasing demand of computational
calculations in the process of business, transferring of files
under certain protocols and data centers force to develop an
emerging technology cater to the services for computational
need, highly manageable and secure storage. To fulfill these
technological desires cloud computing is the best answer by
introducing various sorts of service platforms in high
computational environment. Cloud computing is the most
recent paradigm promising to turn around the vision of
“computing utilities” into reality. The term “cloud
computing” is relatively new, there is no universal agreement
on this definition. In this paper, we go through with different
area of expertise of research and novelty in cloud computing
domain and its usefulness in the genre of management. Even
though the cloud computing provides many distinguished
features, it still has certain sorts of short comings amidst with
comparatively high cost for both private and public clouds. It
is the way of congregating amasses of information and
resources stored in personal computers and other gadgets
and further putting them on the public cloud for serving
users. Resource management in a cloud environment is a
hard problem, due to the scale of modern data centers, their
interdependencies along with the range of objectives of the
different actors in a cloud ecosystem. Cloud computing is
turning to be one of the most explosively expanding
technologies in the computing industry in this era. It
authorizes the users to transfer their data and computation to
remote location with minimal impact on system performance.
With the evolution of virtualization technology, cloud
computing has been emerged to be distributed systematically
or strategically on full basis. The idea of cloud computing has
not only restored the field of distributed systems but also
fundamentally changed how business utilizes computing
today. Resource management in cloud computing is in fact a
typical problem which is due to the scale of modern data
centers, the variety of resource types and their inter
dependencies, unpredictability of load along with the range of
objectives of the different actors in a cloud ecosystem.
IRJET- Cost Effective Workflow Scheduling in BigdataIRJET Journal
This document summarizes research on cost-effective workflow scheduling in big data environments. It discusses a Pointer Gossip Content Addressable Network Montage Framework that allows automatic selection of target clouds, uniform access to clouds, and workflow data management while meeting service level agreements at lowest cost. The framework is evaluated using a real scientific workflow application in different deployment scenarios. Results show it can execute workflows with expected performance and quality at lowest cost.
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.
This document summarizes security issues related to cloud computing. It begins by introducing cloud computing and its benefits like scalability, flexibility and cost savings. However, cloud computing also faces security risks due to its multi-tenant architecture, where resources are shared among multiple users. Specific security risks discussed include data loss and leakage if strong encryption and access controls are not implemented. The open accessibility of cloud services also makes it easier for malicious users to attack innocent users. Finally, proper identity management is needed to securely manage access across different cloud technologies and services.
Addressing the cloud computing security menaceeSAT Journals
This document summarizes security issues related to cloud computing. It begins by introducing cloud computing and its benefits, including scalability, flexibility, and a pay-as-you-go model. However, it notes that security is a major concern for cloud computing. It then analyzes specific security threats like multi-tenancy allowing access to competitors' data, potential for data loss and leakage, easy accessibility opening the cloud to malicious users, and challenges of identity management with multiple technologies. The document provides an overview of cloud computing deployment models and service models to provide context on the discussed security issues.
‘Grids’areanapproachforbuildingdynamicallyconstructedproblem-solvingenvironmentsusing
geographically and organizationally dispersed,
high-performance computing and
data handling resources.
Gridsalsoprovideimportantinfrastructuresupportingmulti-institutionalcollaboration.
This document discusses IBM's hybrid multicloud platform and digital transformation. Some key points:
- IBM's hybrid multicloud platform is founded on Red Hat technologies like Red Hat Enterprise Linux and Red Hat OpenShift which allow applications to be built once and deployed anywhere across public clouds, private clouds, and on-premises.
- The platform provides consistent management, security, and services across heterogeneous cloud environments from different vendors through an open, standards-based approach.
- A case study describes how Deutsche Bank used Red Hat solutions to build an application platform that streamlined development, improved efficiency, and allowed applications to be developed 2-3 weeks instead of 6-9 months.
This document discusses cloud computing and its potential benefits for organizations. It defines cloud computing and describes deployment and service models. The key benefits of cloud computing include lower costs, faster deployment of applications, scalability, and improved organizational agility. However, security, lack of standards, and regulatory compliance are challenges. The adoption of cloud computing is increasing but still early, with most activity from early adopters.
In summary, The impact of cloud computing on IT infrastructure support is profound, ushering in a new era of efficiency, agility, and scalability. Organizations must embrace this evolution, redefining their approach to IT infrastructure management to capitalize on the benefits of cloud computing.
Grid computing allows for sharing and coordination of computing resources across dynamic virtual organizations. It provides consistent and transparent access to distributed computing resources like computers, software, data and other resources. Key aspects of grid computing include resource sharing, coordinated problem solving, and its focus on large-scale multi-institutional collaborations.
The Grid means the infrastructure for the Advanced Web, for computing, collaboration and communication.
The goal is to create the illusion of a simple yet large and powerful self managing virtual computer out of a large collection of connected heterogeneous systems sharing various combinations of resources.
“Grid” computing has emerged as an important new field, distinguished from conventional distributed computing by its focus on large-scale resource sharing, innovative applications, and ,in some cases, high-performance orientation .
We presented the Grid concept in analogy with that of an electrical power grid and Grid vision
Comprehensive Study on Deployment Models and Service Models in Cloud Computing.IRJET Journal
This document provides a comprehensive study of deployment models and service models in cloud computing. It discusses the key cloud computing models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). It also examines the major cloud deployment models such as public cloud, private cloud, hybrid cloud, and community cloud. The document analyzes the characteristics, benefits, and limitations of each service and deployment model. It provides comparisons of the different models and concludes that cloud computing delivers scalable services but also faces challenges regarding data security, network security, and lack of user control that need to be addressed.
Cloud computing of late has become the new buzz word joining the ranks of terms including; grid computing, utility computing, virtualization, clustering, etc. However the problem is that everyone seems to have a different definition..
1. The document discusses how cloud computing represents a paradigm shift that changes how applications are developed, deployed, maintained, and consumed. It allows companies to access IT resources at a lower cost with more flexibility.
2. It outlines four success factors for European ICT providers to succeed in the cloud economy: understanding cloud as an ecosystem, leveraging large networks, benefiting from small/medium enterprises, and supportive industry policies.
3. The recommendations are to create a common EU legal framework for clouds, support a European cloud computing standard, promote cloud research, support cloud adoption by SMEs, position the public sector as pioneering users, and maintain progress.
Detailed Analysis of Security Challenges in the Domain of Hybrid CloudIRJET Journal
This document discusses security challenges in hybrid cloud computing. It begins by defining hybrid clouds and describing their increasing use by major organizations. The main security challenges discussed include ensuring compliance, protecting data privacy across private and public clouds, managing risks associated with loss of control over data in public clouds, and protecting against distributed denial-of-service attacks. Several security solutions for hybrid clouds are then outlined, such as using virtual private clouds, OpenVPN, OpenCitrix, CloudKnox, and Guardicore Centra to securely connect private infrastructure to public clouds.
ChatGPT 3.5
User
Benefits of cloud computing
ChatGPT
Cloud computing offers numerous benefits, including:
Scalability: Easily scale resources up or down based on demand, allowing businesses to efficiently manage fluctuating workloads.
Cost-effectiveness: Pay only for the resources you use, eliminating the need for large upfront investments in hardware and infrastructure.
Flexibility: Access data and applications from anywhere with an internet connection, enabling remote work and collaboration.
Reliability: Cloud providers typically offer high uptime guarantees and redundant infrastructure, reducing the risk of downtime.
Security: Cloud providers invest heavily in security measures, often offering advanced encryption, threat detection, and access controls.
Automatic updates: Cloud services are regularly updated with the latest features and security patches, reducing the burden on IT teams.
Disaster recovery: Cloud platforms typically offer built-in redundancy and backup options, helping businesses recover quickly from data loss or outages.
Environmentally friendly: Cloud computing can reduce the carbon footprint of businesses by optimizing resource usage and energy efficiency in data centers.
This paper will discuss how cloud is helping enterprises, governments and industries around the globe meet their current challenges through key value drivers.
This white paper discusses how cloud computing can drive value for enterprises by lowering IT costs and enabling innovation. Some key points:
1) Cloud computing provides on-demand, scalable access to computing resources and enables a pay-per-use model that can significantly lower both capital and operating costs for IT compared to maintaining physical infrastructure.
2) Standardizing applications and infrastructure on cloud platforms further drives down costs through improved efficiency and reduced complexity.
3) In addition to cost savings, cloud also allows organizations to innovate faster, access new markets more easily, and optimize existing IT investments through an elastic, globally available environment.
Cloud computing provides several key business benefits:
1) It lowers IT costs by increasing infrastructure utilization and automation.
2) It enables access to IT resources and applications on a flexible, "pay-as-you-go" basis.
3) It simplifies IT for end users by removing complexity and allowing access from any device.
Cloud adoption strategies vary depending on a company's size and industry dynamics, but cloud pilots can help organizations understand how cloud may address their business needs in a low-risk way.
14. 14
Cloud Service provider On-premise
Dual pattern
• Use ISM tools and interfaces on-premise
and provided by cloud service provider
• Integrate them manually or at processlevel
documenting cross management best-
practices and procedures
Service Mgmt
environment
Managed-workload
Service Mgmt
Environment (*)
Managed-workload
Customized ISM processes
On-premise pattern
• Extend on-premise management tools and
agents to manage also workload on cloud
• Do not leverage built-in service mgmt
capabilities from cloud provider
Service Mgmt
environment
Managed-workload
Service Mgmt
Environment (*)
Managed-workload
Integrated pattern
• Leverage both on-premise and built-in
cloud ISM capabilities and tools
• Use APIs to get mgmt data from cloud and
feed to on-prem mgmt tools and processes
Service Mgmt
environment
Managed-workload
Service Mgmt
Environment (*)
Managed-workload
Customized ISM processes
APIs
(*) on-premise, on SaaS or outsourced