This document discusses business implementation and security concerns regarding cloud computing. It provides an introduction to cloud computing, explaining that it allows users to access applications from anywhere through connected devices. The key benefits of cloud computing are discussed as scalability, cost savings, instant access, and mobility. The document also outlines the evolution of cloud computing from earlier concepts like grid computing and utility computing. It describes the different cloud computing models of public, private, and hybrid clouds and how they each have different security risk levels. Finally, it mentions there are also different cloud service models beyond the infrastructure models.
The document proposes a cloud based query solver system featuring ontology for educational institutes. It provides infrastructure as a service (IaaS) allowing students to access virtual machines and software as a service (SaaS) with a query solving interface. An ontology collects and categorizes data from different departments to generate inferences for common student queries and allows domain-specific redirection of questions. The implemented system designs an interface for students and professors and installs Eucalyptus cloud to create operating system instances for access.
Group seminar report on cloud computingSandhya Rathi
It is short and sobar.It contains information of
Architectural Considerations in that contains Cloud Platform, Cloud Storage, Cloud Services..... Types of Services is also contain in that
Software as a Service(SaaS) ,Platform as a Service(PaaS) , Infrastructure as a Service(IaaS)
This document discusses virtualizing private cloud resources to maximize utilization. It begins by introducing cloud computing and its service models of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It then explains how virtualizing an existing private cloud using virtualization software like VMware can enable multiple virtual clouds to run on a single physical machine. This "cloud within a cloud" approach significantly improves CPU and memory utilization compared to a single private cloud.
This document provides a seminar report on cloud computing presented by Divyesh Shah at LDRP Institute of Technology & Research in October 2013. The report includes an introduction to cloud computing, types of clouds and stakeholders, advantages of cloud computing, cloud architecture comparing cloud computing to grid computing and relating it to utility computing, popular cloud applications including Amazon EC2 and S3 and Google App Engine, and applications of cloud computing in India including e-governance and rural development. The report was prepared under the guidance of Mrs. Avani Dadhania.
The Nist definition of cloud computing cloud computing Research PaperFaimin Khan
This document discusses cloud computing and Google App Engine. It provides an overview of cloud computing concepts like service models, deployment models, and advantages/disadvantages. It then describes Google App Engine, including why Google built it, example apps, the application environment, and architecture. The architecture uses horizontal scaling across Google data centers to isolate and share resources for multiple applications. Quotas define fixed free limits and increased billable limits for resources like storage and bandwidth.
Cloud computing provides many benefits but also poses security risks due to data being stored remotely. This document discusses several key security threats in cloud computing like data leakage, attacks against the cloud infrastructure, and issues regarding access control and data segregation. It proposes some solutions to address these risks, such as access control management, incident response processes, data partitioning, and migration capabilities to improve security in cloud environments.
The document provides an overview of cloud computing concepts and mechanisms. It discusses key topics like virtual servers, ready-made environments, automated scaling listeners, failover systems, multi-device brokers, pay-per-use monitors, state management databases, and resource replication. These mechanisms work together to establish cloud-based technology architectures and allow cloud providers to share physical resources with multiple consumers.
The document proposes a cloud based query solver system featuring ontology for educational institutes. It provides infrastructure as a service (IaaS) allowing students to access virtual machines and software as a service (SaaS) with a query solving interface. An ontology collects and categorizes data from different departments to generate inferences for common student queries and allows domain-specific redirection of questions. The implemented system designs an interface for students and professors and installs Eucalyptus cloud to create operating system instances for access.
Group seminar report on cloud computingSandhya Rathi
It is short and sobar.It contains information of
Architectural Considerations in that contains Cloud Platform, Cloud Storage, Cloud Services..... Types of Services is also contain in that
Software as a Service(SaaS) ,Platform as a Service(PaaS) , Infrastructure as a Service(IaaS)
This document discusses virtualizing private cloud resources to maximize utilization. It begins by introducing cloud computing and its service models of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It then explains how virtualizing an existing private cloud using virtualization software like VMware can enable multiple virtual clouds to run on a single physical machine. This "cloud within a cloud" approach significantly improves CPU and memory utilization compared to a single private cloud.
This document provides a seminar report on cloud computing presented by Divyesh Shah at LDRP Institute of Technology & Research in October 2013. The report includes an introduction to cloud computing, types of clouds and stakeholders, advantages of cloud computing, cloud architecture comparing cloud computing to grid computing and relating it to utility computing, popular cloud applications including Amazon EC2 and S3 and Google App Engine, and applications of cloud computing in India including e-governance and rural development. The report was prepared under the guidance of Mrs. Avani Dadhania.
The Nist definition of cloud computing cloud computing Research PaperFaimin Khan
This document discusses cloud computing and Google App Engine. It provides an overview of cloud computing concepts like service models, deployment models, and advantages/disadvantages. It then describes Google App Engine, including why Google built it, example apps, the application environment, and architecture. The architecture uses horizontal scaling across Google data centers to isolate and share resources for multiple applications. Quotas define fixed free limits and increased billable limits for resources like storage and bandwidth.
Cloud computing provides many benefits but also poses security risks due to data being stored remotely. This document discusses several key security threats in cloud computing like data leakage, attacks against the cloud infrastructure, and issues regarding access control and data segregation. It proposes some solutions to address these risks, such as access control management, incident response processes, data partitioning, and migration capabilities to improve security in cloud environments.
The document provides an overview of cloud computing concepts and mechanisms. It discusses key topics like virtual servers, ready-made environments, automated scaling listeners, failover systems, multi-device brokers, pay-per-use monitors, state management databases, and resource replication. These mechanisms work together to establish cloud-based technology architectures and allow cloud providers to share physical resources with multiple consumers.
www.iosrjournals.org 57 | Page Latest development of cloud computing technolo...Sushil kumar Choudhary
This document discusses the latest developments in cloud computing technology. It begins with definitions of cloud computing and describes its evolution over time from mainframes to current cloud models. The key characteristics of cloud computing are described, including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Challenges of cloud computing are also outlined. The document then examines the different deployment models including private clouds, public clouds, hybrid clouds, and community clouds. It also explores the various cloud service models of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Major cloud computing providers like Amazon, Google, and Microsoft are mentioned
This document describes implementing Software as a Service (SaaS) in a cloud computing environment. It discusses different cloud delivery models including SaaS, PaaS, and IaaS. It also covers cloud deployment models like public, private, and hybrid clouds. The document then demonstrates creating a virtual machine running Ubuntu to enable a basic calculator application as an example SaaS implementation in a cloud. It shows how to access and use the application within the virtual machine while it runs simultaneously with the host operating system.
Cloud computing offers organizations scalability, flexibility, and speed while reducing costs. However, issues around security, data privacy, and regulatory compliance need to be addressed. While some organizations are piloting cloud computing services, widespread adoption is still 1-2 years away as only 10-30% of IT budgets are expected to be used for cloud services in the near future. Overall cloud computing has the potential to significantly change how IT services are delivered and used by businesses.
This document provides an overview of cloud computing concepts including definitions, characteristics, service models, deployment models and examples. It defines cloud computing according to NIST as a model for enabling network access to configurable computing resources that can be provisioned with minimal management effort. The key characteristics are on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The common service models are SaaS, PaaS and IaaS. Deployment models include private, public and hybrid clouds. Examples of applications and potential benefits are also provided.
There are many misconceptions surrounding Cloud Computing and what it has to offer.
Tell apart the facts from the myths with Cloud Computing Myth Busters and develop a deeper understanding of the Cloud.
Download Myth Busters >>
This document discusses two ArcGIS applications deployed in the cloud by the Forest Health Technology Enterprise Team (FHTET). A public Forest Pest Conditions Viewer application allows users to explore forest pest impact data. A secured Disturbance Mapper application uses remote sensing data to identify disturbed forest areas and enable analysis of the causes and effects of disturbances. Both applications were built with ArcGIS Server 10 and deployed to Amazon Web Services, demonstrating how custom ArcGIS applications can be quickly deployed to the cloud.
This document provides information about cloud computing types and deployment models. It discusses private cloud, which is for a single organization; public cloud, which provides services to the general public; hybrid cloud, which uses a combination of private and public clouds; and community cloud, which is shared between organizations with common interests. It also outlines common cloud software including OpenStack for managing resources, Hadoop for big data, and VMware for virtualization.
Cloud computing allows for on-demand access to shared computing resources like networks, servers, storage, applications and services. It provides accessibility, agility and flexibility through rapid provisioning and releasing of resources with minimal management effort. Some key aspects of cloud computing include virtualization, multi-tenancy, broad network access, resource pooling and measured service. Cloud computing is changing the nature of IT by moving computing resources from local desktops and data centers to the internet.
The enterprise landscape is rapidly changing. Data is ubiquitous. Information is flowing into an organization’s applications from more sources than ever before. Business expec-tations are also changing. Corporations today demand speed and flexibility from their applications. Enterprise want services that allow them to make better business decisions, create more satisfied customers, and react ever more quickly to evolving market condi-tions. Current economic circumstances and increased competition are also driving the demand for a more effective model to deliver applications and services.
This relentless push for a faster, better and more cost-effective technology delivery model has set the stage for new approaches to application development, deployment and management. Several technologies such as grid computing, virtualization, and service-oriented architecture (SOA) have offered partial solutions for enterprises that require applications with greater scalability, agility and easier management capabilities. However, these alone have not been enough.
Enter cloud computing, an innovative model for delivering IT infrastructure, applications and data that shifts the emphasis from static, stand-alone application silos to dynamic, shared environments, dynamically allocated among various tasks and accessed via a network.
Today, many forward-thinking enterprises are using cloud environments to take advan-tage of the increased scalability, agility, automation, and efficiency that this technology can deliver. Yet, because cloud computing has evolved so quickly, there are still many questions surrounding it. To understand the promise of cloud computing, decision makers and IT professionals must examine its development and benefits from an enterprise perspective.
Beginning with the origins of cloud computing, this paper will help define exactly what cloud computing is and how the enterprise can benefit from it. In doing so, the paper outlines a number of “cloud characteristics” which together illustrate the true potential of cloud computing and provide a framework for assessing current and future cloud offerings. Finally, the paper draws a distinction between infrastructure-oriented clouds and platform-oriented clouds and explains how cloud platforms allow end-user applica-tions to unlock the true promise of cloud computing.
This document provides a framework for classifying and rating IT vendors in the cloud computing environment. It begins by defining various classifications for cloud computing based on products, business type, deployment method, servicing model, and technical capabilities. It then discusses factors for rating vendors, such as corporate viability, market offerings, and customer service. Finally, it proposes using these classifications and ratings to map vendors on a "market map" to categorize them as market leaders, major players, up-and-comers, etc. based on capabilities, momentum, market share, and other parameters.
Report on cloud computing by prashant guptaPrashant Gupta
The document is a technical seminar report submitted by Prashant Gupta on cloud computing. It includes an abstract, introduction, table of contents, and initial sections on the concept and history of cloud computing. The introduction provides a definition of cloud computing and discusses the shift from centralized to distributed computing models. It highlights the scalability and on-demand access to computing resources that cloud computing provides.
This document discusses security challenges in cloud computing. It describes the three major types of cloud computing services: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The document then examines some key security issues in cloud computing environments and existing countermeasures. It outlines the benefits of cloud computing such as flexible resources, reduced costs, and access to powerful infrastructure. However, it also notes security remains an important concern as different users share cloud systems and resources.
This document summarizes a survey on cloud computing and its services. It discusses key aspects of cloud computing including characteristics, types of cloud services (IaaS, PaaS, SaaS), related terminology, and tools for cloud development and simulation. Specifically, it covers CloudSim and eXo IDE as important tools - CloudSim enables simulation of cloud computing environments and eXo IDE provides a development environment for cloud applications. The paper also reviews related work on cloud computing platforms, operating systems, challenges, and management of cloud infrastructure and resources.
Cloud computing refers to flexible, on-demand access to shared computing resources via the internet. Resources such as memory, storage, and processing power can be allocated as needed without direct involvement of IT staff. This allows organizations to scale their infrastructure up or down easily based on current needs. The term "cloud" originated as a symbol used to represent the public internet in network diagrams. Moving applications and services to cloud providers over the internet is now commonly referred to as migrating to the "cloud".
Cloud computing allows users to access shared computer resources like applications, storage, and servers over the internet rather than installing software locally. It provides services through front-end interfaces while hardware and software infrastructure in the back-end produce these interfaces. There are different cloud service and deployment models including SaaS, PaaS, IaaS, and public, private, hybrid, and community clouds. While cloud computing provides benefits like scalability, cost savings, and flexibility, challenges include security issues, downtime, and lack of control over the infrastructure.
Cloud computing allows users to access shared computer resources like applications, storage, and servers over the internet rather than installing software locally. It provides services through front-end user interfaces while hardware and software infrastructure in the back-end produce these interfaces. There are different cloud service and deployment models including SaaS, PaaS, IaaS, and public, private, hybrid, and community clouds. While cloud computing provides benefits like scalability, cost savings, and flexibility, challenges include security issues, downtime, and lack of control over the infrastructure.
Cloud computing refers to delivering hosted services over the Internet. It involves delivering computational resources through a computer network on-demand. Cloud computing makes infrastructure, applications, and business processes accessible entirely on the Internet without needing to clone your IT department or break your budget. When developing a cloud computing strategy, companies should consider their business strategy, current IT environment, expense structure, rules and regulations, data architecture, security, business processes, and service management to determine when public, private or hybrid cloud models make the most sense. A pilot project can help test the cloud before fully implementing a strategy.
Now a days the work is being done by hiring the space and resources from the cloud providers in order to do work effectively and less costly. This paper describes the cloud, its challenges, evolution, attacks along with the approaches required to handle data on cloud. The practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer. The need of this review paper is to provide the awareness of the current emerging technology which saves the cost of users.
This document provides an overview of cloud computing, including its key concepts, models, and advantages. The main points are:
- Cloud computing provides on-demand access to computing resources like servers, storage, databases, and applications via the internet. It allows users to avoid upfront infrastructure costs.
- The major cloud service models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). SaaS provides access to applications, PaaS provides development platforms, and IaaS provides basic computing resources.
- The key benefits of cloud computing include cost savings, flexibility, scalability, and accessibility of resources from anywhere via
Sistem ini menggunakan teknologi cloud computing untuk membangun sistem monitoring rumah berbasis web yang dapat diakses dari berbagai perangkat melalui internet. Sistem ini menggunakan kamera webcam untuk mengambil gambar keadaan rumah setiap 3 menit dan menyimpan hasilnya di server. Dengan demikian, pemilik rumah dapat memantau rumah dari jarak jauh tanpa harus mengeluarkan biaya besar seperti menyewa satpam atau memasang CCTV
This document discusses how cloud computing can benefit businesses. It explores the costs and management aspects of using cloud computing based on Amazon's cloud services. The document finds that cloud computing offers benefits like cost effectiveness, unlimited storage, mobility, and no need for maintenance or IT personnel. However, it also notes weaknesses like security and privacy concerns. It determines that small and medium businesses are likely to reap the most benefits from cloud computing due to limited budgets and resources.
www.iosrjournals.org 57 | Page Latest development of cloud computing technolo...Sushil kumar Choudhary
This document discusses the latest developments in cloud computing technology. It begins with definitions of cloud computing and describes its evolution over time from mainframes to current cloud models. The key characteristics of cloud computing are described, including on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Challenges of cloud computing are also outlined. The document then examines the different deployment models including private clouds, public clouds, hybrid clouds, and community clouds. It also explores the various cloud service models of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Major cloud computing providers like Amazon, Google, and Microsoft are mentioned
This document describes implementing Software as a Service (SaaS) in a cloud computing environment. It discusses different cloud delivery models including SaaS, PaaS, and IaaS. It also covers cloud deployment models like public, private, and hybrid clouds. The document then demonstrates creating a virtual machine running Ubuntu to enable a basic calculator application as an example SaaS implementation in a cloud. It shows how to access and use the application within the virtual machine while it runs simultaneously with the host operating system.
Cloud computing offers organizations scalability, flexibility, and speed while reducing costs. However, issues around security, data privacy, and regulatory compliance need to be addressed. While some organizations are piloting cloud computing services, widespread adoption is still 1-2 years away as only 10-30% of IT budgets are expected to be used for cloud services in the near future. Overall cloud computing has the potential to significantly change how IT services are delivered and used by businesses.
This document provides an overview of cloud computing concepts including definitions, characteristics, service models, deployment models and examples. It defines cloud computing according to NIST as a model for enabling network access to configurable computing resources that can be provisioned with minimal management effort. The key characteristics are on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. The common service models are SaaS, PaaS and IaaS. Deployment models include private, public and hybrid clouds. Examples of applications and potential benefits are also provided.
There are many misconceptions surrounding Cloud Computing and what it has to offer.
Tell apart the facts from the myths with Cloud Computing Myth Busters and develop a deeper understanding of the Cloud.
Download Myth Busters >>
This document discusses two ArcGIS applications deployed in the cloud by the Forest Health Technology Enterprise Team (FHTET). A public Forest Pest Conditions Viewer application allows users to explore forest pest impact data. A secured Disturbance Mapper application uses remote sensing data to identify disturbed forest areas and enable analysis of the causes and effects of disturbances. Both applications were built with ArcGIS Server 10 and deployed to Amazon Web Services, demonstrating how custom ArcGIS applications can be quickly deployed to the cloud.
This document provides information about cloud computing types and deployment models. It discusses private cloud, which is for a single organization; public cloud, which provides services to the general public; hybrid cloud, which uses a combination of private and public clouds; and community cloud, which is shared between organizations with common interests. It also outlines common cloud software including OpenStack for managing resources, Hadoop for big data, and VMware for virtualization.
Cloud computing allows for on-demand access to shared computing resources like networks, servers, storage, applications and services. It provides accessibility, agility and flexibility through rapid provisioning and releasing of resources with minimal management effort. Some key aspects of cloud computing include virtualization, multi-tenancy, broad network access, resource pooling and measured service. Cloud computing is changing the nature of IT by moving computing resources from local desktops and data centers to the internet.
The enterprise landscape is rapidly changing. Data is ubiquitous. Information is flowing into an organization’s applications from more sources than ever before. Business expec-tations are also changing. Corporations today demand speed and flexibility from their applications. Enterprise want services that allow them to make better business decisions, create more satisfied customers, and react ever more quickly to evolving market condi-tions. Current economic circumstances and increased competition are also driving the demand for a more effective model to deliver applications and services.
This relentless push for a faster, better and more cost-effective technology delivery model has set the stage for new approaches to application development, deployment and management. Several technologies such as grid computing, virtualization, and service-oriented architecture (SOA) have offered partial solutions for enterprises that require applications with greater scalability, agility and easier management capabilities. However, these alone have not been enough.
Enter cloud computing, an innovative model for delivering IT infrastructure, applications and data that shifts the emphasis from static, stand-alone application silos to dynamic, shared environments, dynamically allocated among various tasks and accessed via a network.
Today, many forward-thinking enterprises are using cloud environments to take advan-tage of the increased scalability, agility, automation, and efficiency that this technology can deliver. Yet, because cloud computing has evolved so quickly, there are still many questions surrounding it. To understand the promise of cloud computing, decision makers and IT professionals must examine its development and benefits from an enterprise perspective.
Beginning with the origins of cloud computing, this paper will help define exactly what cloud computing is and how the enterprise can benefit from it. In doing so, the paper outlines a number of “cloud characteristics” which together illustrate the true potential of cloud computing and provide a framework for assessing current and future cloud offerings. Finally, the paper draws a distinction between infrastructure-oriented clouds and platform-oriented clouds and explains how cloud platforms allow end-user applica-tions to unlock the true promise of cloud computing.
This document provides a framework for classifying and rating IT vendors in the cloud computing environment. It begins by defining various classifications for cloud computing based on products, business type, deployment method, servicing model, and technical capabilities. It then discusses factors for rating vendors, such as corporate viability, market offerings, and customer service. Finally, it proposes using these classifications and ratings to map vendors on a "market map" to categorize them as market leaders, major players, up-and-comers, etc. based on capabilities, momentum, market share, and other parameters.
Report on cloud computing by prashant guptaPrashant Gupta
The document is a technical seminar report submitted by Prashant Gupta on cloud computing. It includes an abstract, introduction, table of contents, and initial sections on the concept and history of cloud computing. The introduction provides a definition of cloud computing and discusses the shift from centralized to distributed computing models. It highlights the scalability and on-demand access to computing resources that cloud computing provides.
This document discusses security challenges in cloud computing. It describes the three major types of cloud computing services: Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The document then examines some key security issues in cloud computing environments and existing countermeasures. It outlines the benefits of cloud computing such as flexible resources, reduced costs, and access to powerful infrastructure. However, it also notes security remains an important concern as different users share cloud systems and resources.
This document summarizes a survey on cloud computing and its services. It discusses key aspects of cloud computing including characteristics, types of cloud services (IaaS, PaaS, SaaS), related terminology, and tools for cloud development and simulation. Specifically, it covers CloudSim and eXo IDE as important tools - CloudSim enables simulation of cloud computing environments and eXo IDE provides a development environment for cloud applications. The paper also reviews related work on cloud computing platforms, operating systems, challenges, and management of cloud infrastructure and resources.
Cloud computing refers to flexible, on-demand access to shared computing resources via the internet. Resources such as memory, storage, and processing power can be allocated as needed without direct involvement of IT staff. This allows organizations to scale their infrastructure up or down easily based on current needs. The term "cloud" originated as a symbol used to represent the public internet in network diagrams. Moving applications and services to cloud providers over the internet is now commonly referred to as migrating to the "cloud".
Cloud computing allows users to access shared computer resources like applications, storage, and servers over the internet rather than installing software locally. It provides services through front-end interfaces while hardware and software infrastructure in the back-end produce these interfaces. There are different cloud service and deployment models including SaaS, PaaS, IaaS, and public, private, hybrid, and community clouds. While cloud computing provides benefits like scalability, cost savings, and flexibility, challenges include security issues, downtime, and lack of control over the infrastructure.
Cloud computing allows users to access shared computer resources like applications, storage, and servers over the internet rather than installing software locally. It provides services through front-end user interfaces while hardware and software infrastructure in the back-end produce these interfaces. There are different cloud service and deployment models including SaaS, PaaS, IaaS, and public, private, hybrid, and community clouds. While cloud computing provides benefits like scalability, cost savings, and flexibility, challenges include security issues, downtime, and lack of control over the infrastructure.
Cloud computing refers to delivering hosted services over the Internet. It involves delivering computational resources through a computer network on-demand. Cloud computing makes infrastructure, applications, and business processes accessible entirely on the Internet without needing to clone your IT department or break your budget. When developing a cloud computing strategy, companies should consider their business strategy, current IT environment, expense structure, rules and regulations, data architecture, security, business processes, and service management to determine when public, private or hybrid cloud models make the most sense. A pilot project can help test the cloud before fully implementing a strategy.
Now a days the work is being done by hiring the space and resources from the cloud providers in order to do work effectively and less costly. This paper describes the cloud, its challenges, evolution, attacks along with the approaches required to handle data on cloud. The practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer. The need of this review paper is to provide the awareness of the current emerging technology which saves the cost of users.
This document provides an overview of cloud computing, including its key concepts, models, and advantages. The main points are:
- Cloud computing provides on-demand access to computing resources like servers, storage, databases, and applications via the internet. It allows users to avoid upfront infrastructure costs.
- The major cloud service models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). SaaS provides access to applications, PaaS provides development platforms, and IaaS provides basic computing resources.
- The key benefits of cloud computing include cost savings, flexibility, scalability, and accessibility of resources from anywhere via
Sistem ini menggunakan teknologi cloud computing untuk membangun sistem monitoring rumah berbasis web yang dapat diakses dari berbagai perangkat melalui internet. Sistem ini menggunakan kamera webcam untuk mengambil gambar keadaan rumah setiap 3 menit dan menyimpan hasilnya di server. Dengan demikian, pemilik rumah dapat memantau rumah dari jarak jauh tanpa harus mengeluarkan biaya besar seperti menyewa satpam atau memasang CCTV
This document discusses how cloud computing can benefit businesses. It explores the costs and management aspects of using cloud computing based on Amazon's cloud services. The document finds that cloud computing offers benefits like cost effectiveness, unlimited storage, mobility, and no need for maintenance or IT personnel. However, it also notes weaknesses like security and privacy concerns. It determines that small and medium businesses are likely to reap the most benefits from cloud computing due to limited budgets and resources.
Implementation of user authentication as a service for cloud networkSalam Shah
There are so many security risks for the users of cloud computing, but still the organizations are switching towards the cloud. The cloud provides data protection and a huge amount of memory usage remotely or virtually. The organization has not adopted the cloud computing completely due to some security issues. The research in cloud computing has more focus on privacy and security in the new categorization attack surface. User authentication is the additional overhead for the companies besides the management of availability of cloud services. This paper is based on the proposed model to provide central authentication technique so that secured access of resources can be provided to users instead of adopting some unordered user authentication techniques. The model is also implemented as a prototype.
Purnomo Budi Santoso, Mochamad Choiri & ARIF RAHMAN, (2013), Integrasi Supplier, Produsen, dan Pelanggan pada UKM Keramik Dinoyo dengan Cloud Computing, Jurnal Rekayasa Mesin Vol 4 No 1, Malang, pp. 59-66
Edureka offers the best Cloud Computing training which will boost your career. Find out more about cloud computing courses and other details at our website http://www.edureka.in/cloudcomputing
The document discusses cloud computing, including its definition, deployment models (private, public, hybrid, community clouds), service models (IaaS, PaaS, SaaS), benefits (pay-as-you-go, flexibility, scalability, ease of use), and challenges (network reliability, security, vendor lock-in). It provides an overview of key topics within cloud computing.
Amazon Web Services SWOT & Competitor AnalysisBessie Chu
The document provides an analysis of Amazon Web Services' (AWS) position in the cloud computing market, including a SWOT analysis of AWS and competitor analyses of Rackspace, Google Compute Engine, and Microsoft Azure. It finds that AWS has a large infrastructure and client base but risks from outages and complexity. Competitors like Rackspace focus on customization but lack AWS's scale, while Google and Microsoft's cloud offerings are still in early stages.
This thesis examines factors that influence organizational success for cloud computing implementation within the Department of Defense (DoD). The author conducted a Delphi study of industry and DoD experts to develop a model quantifying acceptance and success. The model is based on "business model" factors identified in the study as influencing whether organizations will utilize cloud computing technologies once fielded. The research aims to help the DoD better implement cloud computing in a way that ensures technologies are properly utilized and accepted by target organizations.
This document discusses cloud computing, defining it as a computing platform that provides dynamic resource pools, virtualization, and high availability. It outlines the key benefits of cloud computing such as reduced costs through improved utilization and faster deployment cycles. The document also defines clouds and cloud applications, explaining that cloud computing dynamically provisions, configures, and deprovisions servers as needed to host web applications accessible over the internet.
The document discusses the rise of cloud computing to support business objectives in a world experiencing an intelligence explosion. It notes that cloud computing provides a new computing model that enables on-demand access to computing resources and rapid service delivery. The document differentiates between public clouds, which are accessed externally via service providers, and private clouds, which are internal but can offer similar benefits to public clouds with greater security and control. It recommends understanding your specific needs and environment to determine whether a public or private cloud is best suited for your organization.
This document discusses cloud computing and related concepts:
1. Cloud computing is a model for delivering computing resources such as hardware and software via a network. Users can access scalable resources from the cloud without knowing details of the infrastructure.
2. Technologies like virtualization, distributed storage, and broadband internet access enable cloud computing. This shifts processing to large remote data centers managed by cloud providers.
3. For service providers, cloud computing offers benefits like reduced infrastructure costs and improved efficiency. For users, it provides flexible access to resources without upfront investment or management overhead.
Cloud computing is a model for enabling ubiquitous, 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. It allows users to access technology-based services from the network cloud without knowledge of, expertise with, or control over the underlying technology infrastructure that supports them. Key benefits of cloud computing include lower costs, better scalability and flexibility.
This document discusses cloud computing and provides definitions and examples. It makes the following key points:
1) Cloud computing allows on-demand access to shared computing resources like servers, storage, databases and applications over the internet.
2) Major benefits include reduced upfront costs, flexibility to scale resources up or down as needed, and a pay-per-use model.
3) Examples show how companies use cloud computing to save costs, improve efficiency and flexibility, and develop new business models.
This document discusses cloud computing and provides definitions and examples. It makes the following key points in 3 sentences:
Cloud computing allows on-demand access to shared computing resources over the internet and is growing rapidly. It offers flexibility, scalability, and reduces the need for large upfront capital expenditures. While primarily used for email, storage and testing currently, the document predicts more widespread enterprise adoption of cloud computing for additional applications and services in the coming years as standards improve around data security and storage.
The document proposes a cloud based query solver system featuring ontology for educational institutes. It provides infrastructure as a service (IaaS) allowing students to access a query solving interface through virtual machines in the cloud without maintaining their own hardware. An ontology organizes stored questions and answers by domain to direct students to relevant information and reduce duplicate questions. The system aims to improve knowledge sharing and decision making through a formal conceptualization of shared concepts within the institutional data.
The document discusses cloud computing, defining it as a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Some key points:
- Cloud computing builds on distributed computing approaches like grid computing by centralizing computation and storage in distributed data centers managed by third parties.
- It aims to provide IT services on-demand with flexibility, availability, reliability and scalability using a utility computing model.
- Cloud computing architectures involve multiple cloud components communicating over APIs, resembling the Unix philosophy of multiple programs working together over universal interfaces.
Accenture 6 questions_executives_should_ask_about_cloud_computingNgy Ea
This document discusses six key questions that business executives should ask about cloud computing. The questions are: 1) What is it, and how does it work? 2) What specific benefits can clouds bring to my organization? 3) Can I depend on clouds to save my organization money? 4) How will clouds affect the way my organization competes? 5) What risks must my organization manage? By focusing on these questions, executives can evaluate cloud computing's opportunities and risks for their own organization in a timely and productive way.
The document provides an overview of cloud computing, including its definition, history, advantages, disadvantages and components. Cloud computing is defined as internet-based computing where shared resources, software and information are provided on demand. The history of cloud computing is traced from the 1990s to present day. Key advantages include flexibility, low costs, scalability and device diversity. Disadvantages include dependency on providers, security risks and needing a constant internet connection. The document also outlines the architecture, types (public, private, hybrid clouds) and components of cloud computing.
This document presents a seminar on cloud computing. It begins with an introduction defining cloud computing as internet-based computing where shared resources are provided on demand. It then covers the history, components, architecture, types (public, private, hybrid clouds), advantages including flexibility and cost savings, and disadvantages such as security risks and dependency on internet access. The presentation provides an overview of the key concepts and components of cloud computing.
This document provides an overview of cloud computing, including definitions, history, types, components, architecture, advantages and disadvantages. It defines cloud computing as utilizing shared computing resources and information delivered over the internet. The document outlines the key components of cloud computing architecture including front end and back end. It also describes the main types of cloud computing models such as public, private and hybrid clouds. Finally, the advantages of cloud computing like flexibility, scalability and cost savings are contrasted with disadvantages including security risks, dependency on providers and need for constant internet access.
The document discusses cloud computing, providing definitions, history, advantages, disadvantages and components. It defines cloud computing as internet-based computing where shared resources such as software, platforms and infrastructure are provided on-demand to users over the internet. The history of cloud computing is traced from the 1990s to present. Key cloud types are public, private and hybrid clouds. Advantages include flexibility, scalability, low costs while disadvantages include security concerns and dependency on internet connectivity.
The document provides an overview of cloud computing, including its definition, history, advantages, disadvantages and components. It discusses how cloud computing allows users to access shared computing resources like servers, storage, databases and software over the internet. The key types of cloud computing are public, private and hybrid clouds. The document also outlines the architecture of cloud computing and how it involves multiple components communicating over application programming interfaces.
This document provides an overview of cloud computing. It discusses how cloud computing works by providing on-demand access to computing resources over the internet. It describes the key characteristics of cloud computing like on-demand self-service, broad network access, resource pooling and rapid elasticity. The document also outlines different types of cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). Finally, it discusses some benefits of cloud computing like enabling remote work and collaboration.
Cloud Computing is the internet-based computing wherby shared resources, software, and information are provided to computers and other devices on demand, like the electrcity grid
This document provides an overview of cloud computing through a seminar presentation. It defines cloud computing as internet-based computing where shared resources such as software, data, and infrastructure are provided on-demand to various devices. The document outlines the history, advantages, disadvantages, components, types (public, private, hybrid), architecture and recent developments of cloud computing. In conclusion, while cloud computing provides benefits like low costs, flexibility and scalability, it also presents risks regarding security, privacy and dependency on internet connectivity.
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.
Similar to Business implementation of Cloud Computing (20)
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Zilliz
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
A tale of scale & speed: How the US Navy is enabling software delivery from l...
Business implementation of Cloud Computing
1. Business implementation and Security Concerns of “Cloud
Computing”
Qaid Johar Abbasi Sodawala, Rahul Telang, (MCA II Year)
& Prof. Sham S. Malgikar, Asst Professor
JSPM’s Jayawant Institute of Computer Application, Tathawade, Pune.
Mail: shammalgikar@gmail.com,quaidjohar.sodawala@gmail.com
Abstract:
Cloud computing is boasted as the next big thing in enterprise IT. The
corporate data centers and on premise software will not shed their light soon but
"the clouds" will have growing impact on enterprise IT and business activities in
many small and large organizations.
The paper attempts to explore the corporate implementation of cloud
computing and in how many ways it can be done. Also a very concerning issues
regarding cloud computing security are discussed.
-------------------------------------------------------------------------------------------------------------
Introduction:
computing can be understood as more of a
Few years back when internet was just service rather than a product.
born, business activities moved at very slow
pace. Now in twenty first century the pace What is cloud computing?
of business is much quicker and it continues
to increase as the constant stream of new Cloud computing is an emerging
technologies make their way to stimulate computing model by which users can gain
business processes. access to their applications from anywhere,
through any connected device. A user-
Cloud as a metaphor for "internet" is a
centric interface makes the cloud
combination of various servers and
infrastructure supporting the applications
networks which is under veil to provide
transparent to users. The applications
services like computation, software, data
reside in massively scalable data centers
access and storage to end user hiding its
where computational resources can be
actual physical location and configuration of
dynamically provisioned and shared to
the system that delivers the service. Cloud
2. achieve significant scalability. A strong resources are optimally leveraged to
service management platform is build, so provide innovative services over the Web,
that management costs of adding more IT and servers are provisioned in accordance
resources to the cloud can be significantly with the logical needs of the service using
lower than those associated with alternate advanced, automated tools. The cloud then
infrastructures. enables the service creators, program
administrators and others to use these
Why cloud: services via a Web-based interface that
abstracts away the complexity of the
1. Scalability:
underlying dynamic infrastructure.
Servers can easily grow or shrink as
per demand The infrastructure management
methodology enables IT organizations to
2. Cost: manage large numbers of highly virtualized
It helps keep the cost down for both resources as a single large resource. It also
the users and website owners. Also
allows IT organizations to massively
for the users, they can access it from
any computer and still have the file increase their data center resources
they need. For the owners, they do without significantly increasing the number
not need to reproduce the software of people traditionally required to maintain
and ship it out. They just rent the that increase.
server space.
For organizations currently using
3. Instant: traditional infrastructures, a cloud will
The scalability can be achieved enable users to consume IT resources in the
instantly. It’s like controlling light data center in ways that were never
brightness by regulator. available before. Companies that employ
4. Mobility: traditional data center management
User can access their data practices know that making IT resources
anywhere. available to an end user can be time-
intensive. It involves many steps, such as
procuring hardware; finding raised floor
space and sufficient power and cooling;
Business value of cloud computing:
allocating administrators to install operating
systems, middleware and software;
Cloud computing is both a business
provisioning the network; and securing the
delivery model and an infrastructure environment. Most companies find that this
management methodology. The business process can take upwards of two to three
delivery model provides a user experience months. Those IT organizations that are re-
by which hardware, software and network provisioning existing hardware resources
3. find that it still takes several weeks to distinguish between grid computing and
accomplish. A cloud dramatically alleviates cloud computing.
this problem by implementing automation,
In the 1990s, the concept of virtualization
business workflow and resource abstraction
was expanded beyond virtual servers to
that allows a user to browse a catalog of IT
higher levels of abstraction—the virtual
services, add them to a shopping cart and
platform, including storage and network
submit the order. After an administrator
resources. Utility computing offered
approves the order, the cloud does the rest.
clusters as virtual platforms for computing
This process reduces the time required to
with a metered business model. More
make those resources available to the
recently software as a service (SaaS) has
customer from months to minutes.
raised the level of virtualization to the
Evolution: application, with a business model of
charging not by the resources consumed
Cloud computing is an important but by the value of the application to
subscribers.
topic. However, it is not a revolutionary
new development, but an evolution that The concept of cloud computing has
has taken place over several decades. evolved from the concepts of grid, utility
and SaaS. It is an emerging model through
The trend toward cloud computing
which users can gain access to their
started in the late 1980s with the concept
applications from anywhere, at any time,
of grid computing when, for the first time, a
through their connected devices.
large number of systems were applied to a
single Cloud computing Models:
Basically there are three types of cloud
computing models which are:
1. Public.
2. Private.
3. Hybrid.
Each type of cloud computing
model—public, private or hybrid—
faces different levels of IT risk.
Problem, usually scientific in nature and In the private cloud delivery
requiring exceptionally high levels of model, the cloud owner does not
parallel computation. it’s important to share resources with any other
4. company. Private clouds are owned security and privacy with a minimum
and operated by a single investment in fixed IT costs.
organization, delivering IT services
within the constraints of their own Cloud Service models:
network perimeter.
In addition to the different cloud
In the public cloud computing models, there are distinctions
computing model, IT activities and among the most common cloud service
functions are provided as a service models as shown in Figure. Available to
that can be billed on a pay-per-use anyone with Internet access, cloud service
or subscription basis via the Internet models include:
from external suppliers, using
resources not owned by the
consumer. The sharing of IT
resources in a public, multitenant
environment can help improve
utilization rates and can reduce
costs significantly while maintaining
access to high quality technology. In
a public cloud, an organization rents
IT resources instead of having to
invest in their own physical IT
infrastructure or maintain under-
● Software as a Service (SaaS) cloud
utilized equipment to service peak
model—Enables software to be delivered
loads. Instead, they can scale usage
from a host source over a network as
up or down, according to need, with
opposed to installations or implementations
costs directly proportional to need.
● Platform as a Service (PaaS) cloud
Many organizations embrace
model—Enables operating systems and
both public and private cloud
middleware services to be delivered from a
computing by integrating the two
managed source over a network
models into hybrid clouds. These
hybrids are designed to meet ● Infrastructure as a Service (IaaS) cloud
specific business and technology model—Enables the entire infrastructure to
requirements, so that activities and be delivered as a service over a network,
tasks are allocated to traditional IT, including storage, routers, virtual systems,
external or internal clouds, as hardware and servers.
appropriate, helping to optimize
5. Cloud computing and security: the cloud provider to deliver secure systems.
grand challenge: The clients do not have access to the
hypervisor layer—the underlying operating
While cloud computing models are system that manages one or more virtual
machines that run on a physical machine—
attractive because of their flexibility and
which typically does not share the virtual
cost effectiveness, certain challenges must
network segment with any of the other
be addressed in order to provide a viable
hosted virtual machines to avoid network-
option to traditional data services. First and
based intrusions. The cloud provider may
foremost is the issue of security. The
also separately offer an optional virtual
externalized aspect of outsourcing can
private network (VPN) capability so that the
make it harder to maintain data integrity
client can help ensure a protected network
and privacy, support data and service
that is not directly visible for Internet-based
availability, demonstrate compliance, and
attackers. It is the client’s responsibility to
secure highly available access to
maintain the patch level for all provisioned
applications and information. In short,
virtual machines after the initial
cloud computing can present an added level
deployment as well as a properly configured
of risk.
VPN to shield their valuable data and
Although cloud computing can shift some infrastructure. If a client, however, chooses
control over data and operations from the to refrain from purchasing a VPN option or
client organization to its cloud provider does not patch any of their web facing
much in the same way organizations entrust virtual machines, the machines can be
part of their IT operations to outsourcing vulnerable.
companies—operating a secure cloud-
If an organization decides to implement
based IT environment is, after all, a shared
these mechanisms in a private cloud using
responsibility. Even basic tasks, such as
their internal IT department, they will rely
applying patches and configuring network
on their business policies to govern aspects
security, are the responsibility of both the
like data confidentiality, access control to
cloud service provider and consumer. Let us
applications and systems, and so on.
examine an example for both public and
Employees will be entrusted to handle the
private cloud.
IT infrastructure because they are
In an IaaS model it is the cloud provider’s recertified against the business policies on
responsibility to offer a number of pre- a regular basis. In this environment
configured virtual machines that constantly organizations have to deal with the risk of
have to be kept updated with the latest unauthorized privileged user access, data
security patches. When clients provision the loss prevention, malicious intrusions and
virtual machines, they have to trust the unintentional user errors. They also have to
observe and comply with internal or
6. regulatory guidelines. If the organization a public cloud deployment, and that
decides to implement these mechanisms in contracts are in place to guarantee localized
a public cloud using the cloud provider data storage.
discussed in the example above, they will
rely on written business agreements to Reference:
govern the exact same aspects, as explained Web reference:
in the private cloud example. They also
have to deal with the same risks and comply http://www.ibm.com/cloud-computing/us/en/
with the same internal or regulatory
www.wikipedia.org
guidelines.
http://thecloudtutorial.com/cloudtypes.html
Other aspects about cloud computing also
require a major reassessment of security
and risk. Inside the cloud, it is often difficult
to physically locate where data is stored.
Security processes that were once visible
are now hidden behind layers of
abstraction. This lack of visibility can create
a number of security and compliance issues
and may prohibit certain IT use cases to be
implemented using a strictly public cloud
environment. Clients need to ensure that
they can select a physical location even for