Cloud computing[2] relies on sharing of resources to achieve coherence and economies of scale, similar to a utility (like the electricity grid) over a network.[3] At the foundation of cloud computing is the broader concept of converged infrastructure and shared services.
Cloud computing, or in simpler shorthand just "the cloud", also focuses on maximizing the effectiveness of the shared resources. Cloud resources are usually not only shared by multiple users but are also dynamically reallocated per demand. This can work for allocating resources to users. For example, a cloud computer facility that serves European users during European business hours with a specific application (e.g., email) may reallocate the same resources to serve North American users during North America's business hours with a different application (e.g., a web server). This approach should maximize the use of computing power thus reducing environmental damage as well since less power, air conditioning, rack space, etc. are required for a variety of functions. With cloud computing, multiple users can access a single server to retrieve and update their data without purchasing licenses for different applications.
The term "moving to cloud" also refers to an organization moving away from a traditional CAPEX model (buy the dedicated hardware and depreciate it over a period of time) to the OPEX model (use a shared cloud infrastructure and pay as one uses it).
Proponents claim that cloud computing allows companies to avoid upfront infrastructure costs, and focus on projects that differentiate their businesses instead of on infrastructure.[4] Proponents also claim that cloud computing allows enterprises to get their applications up and running faster, with improved manageability and less maintenance, and enables IT to more rapidly adjust resources to meet fluctuating and unpredictable business demand.[4][5][6] Cloud providers typically use a "pay as you go" model. This can lead to unexpectedly high charges if administrators do not adapt to the cloud pricing model.[7]
The present availability of high-capacity networks, low-cost computers and storage devices as well as the widespread adoption of hardware virtualization, service-oriented architecture, and autonomic and utility computing have led to a growth in cloud computing.[8][9][10] Companies can scale up as computing needs increase and then scale down again as demands decrease.
Cloud vendors are experiencing growth rates of 50% per annum.[11]
Cloud computing is an emerging technology that uses remote servers and the internet to maintain data and applications. It provides computing resources like storage, servers, and enterprise applications delivered over the internet. The cloud offers an on-demand, flexible environment that saves corporations money while providing scalable, secure access to resources from any internet-connected device. Popular cloud services include Google Apps, Amazon Web Services, and Microsoft Azure.
Cloud Computing: On the Air or Down to Earth - Beneficios para la EmpresaSoftware Guru
The document discusses cloud computing, including definitions, service models, technology architectures, providers, adoption trends, risks, and benefits. It defines cloud computing as using internet-accessible software and hardware resources that can be dynamically provisioned on-demand. The key service models are infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). Major providers include Amazon, Google, and Microsoft, each with their own technology architectures and core services. Factors driving adoption include cost savings and scalability, while risks include security and loss of control. Benefits of cloud computing include reduced costs, increased flexibility and scalability.
This document discusses various techniques for resource provisioning in cloud computing. It describes techniques like using a microeconomic-inspired approach to determine the optimal number of virtual machines (VMs) to allocate to each user based on their financial capacity and workload. It also discusses using a genetic algorithm to compute the optimized mapping of VMs to physical nodes while adjusting VM resource capacities. Additionally, it proposes a reconfiguration algorithm to transition the cloud system from its current state to the optimized state computed by the genetic algorithm. The document provides an overview of these and other techniques like cost-aware provisioning and virtual server provisioning algorithms.
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.
The presentation describes the different cloud federation scenarios, ranging from a federation built on commercial cloud providers that offer no real support for federation to one built on data centers of the same organization where the sites are completely dedicated to supporting all aspects of federation. The level of federation is defined based on the amount of information disclosed and how much control over the resources is provided across sites. The talk also presents the existing challenges for interoperability in federated and hybrid cloud computing scenarios, and ends with real-life examples of multi-cloud environments running OpenNebula.
Fujitsu provides hybrid IT and multi-cloud services to help customers digitally transform even the most complex enterprises. They work with leading cloud providers like AWS, Azure, and VMware to deliver managed services that integrate public and private clouds. Fujitsu focuses on addressing challenges in cloud migration through their customer-centric approach and innovation partnerships.
Cloud computing is an emerging technology that uses remote servers and the internet to maintain data and applications. It provides computing resources like storage, servers, and enterprise applications delivered over the internet. The cloud offers an on-demand, flexible environment that saves corporations money while providing scalable, secure access to resources from any internet-connected device. Popular cloud services include Google Apps, Amazon Web Services, and Microsoft Azure.
Cloud Computing: On the Air or Down to Earth - Beneficios para la EmpresaSoftware Guru
The document discusses cloud computing, including definitions, service models, technology architectures, providers, adoption trends, risks, and benefits. It defines cloud computing as using internet-accessible software and hardware resources that can be dynamically provisioned on-demand. The key service models are infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). Major providers include Amazon, Google, and Microsoft, each with their own technology architectures and core services. Factors driving adoption include cost savings and scalability, while risks include security and loss of control. Benefits of cloud computing include reduced costs, increased flexibility and scalability.
This document discusses various techniques for resource provisioning in cloud computing. It describes techniques like using a microeconomic-inspired approach to determine the optimal number of virtual machines (VMs) to allocate to each user based on their financial capacity and workload. It also discusses using a genetic algorithm to compute the optimized mapping of VMs to physical nodes while adjusting VM resource capacities. Additionally, it proposes a reconfiguration algorithm to transition the cloud system from its current state to the optimized state computed by the genetic algorithm. The document provides an overview of these and other techniques like cost-aware provisioning and virtual server provisioning algorithms.
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.
The presentation describes the different cloud federation scenarios, ranging from a federation built on commercial cloud providers that offer no real support for federation to one built on data centers of the same organization where the sites are completely dedicated to supporting all aspects of federation. The level of federation is defined based on the amount of information disclosed and how much control over the resources is provided across sites. The talk also presents the existing challenges for interoperability in federated and hybrid cloud computing scenarios, and ends with real-life examples of multi-cloud environments running OpenNebula.
Fujitsu provides hybrid IT and multi-cloud services to help customers digitally transform even the most complex enterprises. They work with leading cloud providers like AWS, Azure, and VMware to deliver managed services that integrate public and private clouds. Fujitsu focuses on addressing challenges in cloud migration through their customer-centric approach and innovation partnerships.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
This document provides an overview of Oracle's cloud computing strategy. It discusses how Oracle aims to make cloud computing fully enterprise-grade by supporting both public and private clouds. It also describes Oracle's PaaS platform, which provides products to build public or private application platforms as a cloud service. Finally, it outlines how enterprises can evolve their current IT infrastructure to incorporate more cloud-like characteristics over time through grid computing, virtualization, self-service access, and internal chargeback for resources used.
This document defines cloud computing and discusses its key technologies. It begins by defining cloud computing as the delivery of computing resources over a network. It then explains the three main cloud computing models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document also discusses cloud computing types, related technologies like virtualization, and the pros and cons of cloud computing.
A Virtualization Model for Cloud ComputingSouvik Pal
Cloud Computing is now a very emerging field in the IT industry as well as research field. The advancement of Cloud Computing came up due to fast-growing usage of internet among the people. Cloud Computing is basically on-demand network access to a collection of physical resources which can be provisioned according to the need of cloud user under the supervision of Cloud Service provider interaction. From business prospective, the viable achievements of Cloud Computing and recent developments in Grid computing have brought the platform that has introduced virtualization technology into the era of high performance computing. Virtualization technology is widely applied to modern data center for cloud computing. Virtualization is used computer resources to imitate other computer resources or whole computers. This paper provides a Virtualization model for cloud computing that may lead to faster access and better performance. This model may help to combine self-service capabilities and ready-to-use facilities for computing resources.
An study of security issues & challenges in cloud computingijsrd.com
"Cloud Computing" is a term, which involves virtualization, distributed computing, networking and web-services. It is a way of offering services to users by allowing them to tap into a massive pool of shared computing resources such as servers, storage and network. User can use services by simply plug into the cloud and pay only for what he uses. All these features made a cloud computing very advantageous and demanding. But the data privacy is a key security problem in cloud computing which comprises of data integrity, data confidentiality and user privacy specific concerns. Most of the persons do not prefer cloud to store their data as they are having a fear of losing the privacy of their confidential data. This paper introduces some cloud computing data security problem and its strategy to solve them which also satisfies the user regarding their data security.
From the server room to the board room, there is a lot of talk about “the cloud” — and for good reason. The cloud offers organizations — and their information technology (IT) staffs, in particular — a number of important benefits ranging from increased efficiencies to scalability. Taking advantage of these benefits requires understanding the various cloud models available and how they can best meet your organization’s specific needs.
This document provides an overview of cloud computing including definitions, characteristics, service models, deployment models, and security considerations. Cloud computing is defined as on-demand access to configurable computing resources that can be provisioned with minimal effort. Key characteristics include scalability, pay-per-use model, and enabling mobile applications. The three service models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The four deployment models are private, community, public, and hybrid clouds. General security challenges include trusting vendors and loss of physical control, while advantages were not outlined.
Cloud computing is a new model for delivering IT services where organizations access applications and store data remotely via the internet instead of locally. There are several cloud models including public clouds that provide internet-based services, private clouds that are dedicated to a single organization, community clouds that are shared between organizations, and hybrid clouds that combine multiple models. Moving to the cloud provides benefits such as reduced costs, flexibility and scalability without the need for local hardware and software management. Organizations should carefully evaluate providers on reliability, security, upgrades and future-proofing before committing to cloud services.
Security Building Blocks of the IBM Cloud Computing Reference ArchitectureStefaan Van daele
This is the presentation I have given at the Secure Cloud 2014 conference in Amsterdam with a small update: it contains the link to the website with additional information about security use cases in the different Cloud models ( IaaS, PaaS, SaaS )
CloudLighting - A Brief Overview presented by Prof John Morrison at the Fifth National Conference on Cloud Computing and Commerce (NC4 2016).
The presentation covered project's funding and consortium, specific challenge, typical IaaS cloud usage, project's goals and ambitions, the CloudLighting architecture, beneficiaries and challenges ahead.
The document discusses cloud resource management and cloud computing architecture. It covers the following key points in 3 sentences:
Cloud architecture can be broadly divided into the front end, which consists of interfaces and applications for accessing cloud platforms, and the back end, which comprises resources for providing cloud services like storage, virtual machines, and security mechanisms. Common cloud service models include infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). Virtualization techniques allow for the sharing of physical resources among multiple organizations by assigning logical names to physical resources and providing pointers to access them.
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 provides an architectural overview of cloud computing and describes how a payroll processing application could be migrated to the cloud. It discusses the key attributes and layers of cloud computing including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). It then describes how the existing payroll application, which is installed at over 300 locations, could be deployed as a multi-tenant SaaS application in the cloud to reduce costs and maintenance burdens. The document outlines how the application's components would map to a SaaS architecture and how new tenants could be provisioned.
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.
Cloud computing provides on-demand access to shared computing resources like servers, storage, databases, networking, software and analytics over the internet. It delivers computing as a utility or service rather than a product. There are different types of cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). Clouds can be public, private, hybrid or community and are offered by major companies like Amazon, Microsoft, Google and IBM.
This document defines cloud computing and compares it to grid computing. It outlines cloud computing architectures including service models (SaaS, PaaS, IaaS) and deployment models (public, private, hybrid, community). The benefits of cloud computing are almost zero upfront costs, usage-based pricing, and automatic scaling. Google Apps is used as an example of cloud computing services including email, chat and the Google App Engine platform. Key differences between grid and cloud computing are their business models, architectures, and applications. Grid computing focuses on scientific problems using HPC resources, while cloud computing runs varying applications with elastic resource demands.
Cloud computing is a model that provides on-demand access to a shared pool of configurable computing resources like networks, servers, storage, applications, and services. It has essential characteristics of on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three main service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Deployment models include private cloud, community cloud, public cloud, and hybrid cloud.
This document provides an overview of cloud computing. It defines cloud computing as storing and accessing data and computing services over the Internet. It then describes various cloud models including public, private, hybrid and community clouds. It also discusses the different cloud service models of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document outlines the advantages of cloud computing as well as characteristics of the different cloud models and services.
The document provides an overview of cloud computing concepts including cloud computing characteristics, service models, deployment models, and virtualization. It defines cloud computing according to NIST as a model enabling on-demand access to a shared pool of configurable computing resources that can be rapidly provisioned with minimal management effort. The five essential cloud characteristics are described as well as the three common service models of SaaS, PaaS, and IaaS. The four deployment models and benefits of virtualization technology are also summarized.
The document provides an overview of cloud computing, including definitions of cloud, cloud characteristics, common cloud features, deployment models, service models, and examples of major cloud vendors like Amazon Web Services. It discusses how cloud computing provides on-demand access to shared computing resources over the internet and the business benefits of reduced costs and increased flexibility. However, some concerns include data security, latency issues for real-time applications, and lack of control over proprietary systems.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
This document provides an overview of Oracle's cloud computing strategy. It discusses how Oracle aims to make cloud computing fully enterprise-grade by supporting both public and private clouds. It also describes Oracle's PaaS platform, which provides products to build public or private application platforms as a cloud service. Finally, it outlines how enterprises can evolve their current IT infrastructure to incorporate more cloud-like characteristics over time through grid computing, virtualization, self-service access, and internal chargeback for resources used.
This document defines cloud computing and discusses its key technologies. It begins by defining cloud computing as the delivery of computing resources over a network. It then explains the three main cloud computing models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document also discusses cloud computing types, related technologies like virtualization, and the pros and cons of cloud computing.
A Virtualization Model for Cloud ComputingSouvik Pal
Cloud Computing is now a very emerging field in the IT industry as well as research field. The advancement of Cloud Computing came up due to fast-growing usage of internet among the people. Cloud Computing is basically on-demand network access to a collection of physical resources which can be provisioned according to the need of cloud user under the supervision of Cloud Service provider interaction. From business prospective, the viable achievements of Cloud Computing and recent developments in Grid computing have brought the platform that has introduced virtualization technology into the era of high performance computing. Virtualization technology is widely applied to modern data center for cloud computing. Virtualization is used computer resources to imitate other computer resources or whole computers. This paper provides a Virtualization model for cloud computing that may lead to faster access and better performance. This model may help to combine self-service capabilities and ready-to-use facilities for computing resources.
An study of security issues & challenges in cloud computingijsrd.com
"Cloud Computing" is a term, which involves virtualization, distributed computing, networking and web-services. It is a way of offering services to users by allowing them to tap into a massive pool of shared computing resources such as servers, storage and network. User can use services by simply plug into the cloud and pay only for what he uses. All these features made a cloud computing very advantageous and demanding. But the data privacy is a key security problem in cloud computing which comprises of data integrity, data confidentiality and user privacy specific concerns. Most of the persons do not prefer cloud to store their data as they are having a fear of losing the privacy of their confidential data. This paper introduces some cloud computing data security problem and its strategy to solve them which also satisfies the user regarding their data security.
From the server room to the board room, there is a lot of talk about “the cloud” — and for good reason. The cloud offers organizations — and their information technology (IT) staffs, in particular — a number of important benefits ranging from increased efficiencies to scalability. Taking advantage of these benefits requires understanding the various cloud models available and how they can best meet your organization’s specific needs.
This document provides an overview of cloud computing including definitions, characteristics, service models, deployment models, and security considerations. Cloud computing is defined as on-demand access to configurable computing resources that can be provisioned with minimal effort. Key characteristics include scalability, pay-per-use model, and enabling mobile applications. The three service models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The four deployment models are private, community, public, and hybrid clouds. General security challenges include trusting vendors and loss of physical control, while advantages were not outlined.
Cloud computing is a new model for delivering IT services where organizations access applications and store data remotely via the internet instead of locally. There are several cloud models including public clouds that provide internet-based services, private clouds that are dedicated to a single organization, community clouds that are shared between organizations, and hybrid clouds that combine multiple models. Moving to the cloud provides benefits such as reduced costs, flexibility and scalability without the need for local hardware and software management. Organizations should carefully evaluate providers on reliability, security, upgrades and future-proofing before committing to cloud services.
Security Building Blocks of the IBM Cloud Computing Reference ArchitectureStefaan Van daele
This is the presentation I have given at the Secure Cloud 2014 conference in Amsterdam with a small update: it contains the link to the website with additional information about security use cases in the different Cloud models ( IaaS, PaaS, SaaS )
CloudLighting - A Brief Overview presented by Prof John Morrison at the Fifth National Conference on Cloud Computing and Commerce (NC4 2016).
The presentation covered project's funding and consortium, specific challenge, typical IaaS cloud usage, project's goals and ambitions, the CloudLighting architecture, beneficiaries and challenges ahead.
The document discusses cloud resource management and cloud computing architecture. It covers the following key points in 3 sentences:
Cloud architecture can be broadly divided into the front end, which consists of interfaces and applications for accessing cloud platforms, and the back end, which comprises resources for providing cloud services like storage, virtual machines, and security mechanisms. Common cloud service models include infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). Virtualization techniques allow for the sharing of physical resources among multiple organizations by assigning logical names to physical resources and providing pointers to access them.
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 provides an architectural overview of cloud computing and describes how a payroll processing application could be migrated to the cloud. It discusses the key attributes and layers of cloud computing including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). It then describes how the existing payroll application, which is installed at over 300 locations, could be deployed as a multi-tenant SaaS application in the cloud to reduce costs and maintenance burdens. The document outlines how the application's components would map to a SaaS architecture and how new tenants could be provisioned.
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.
Cloud computing provides on-demand access to shared computing resources like servers, storage, databases, networking, software and analytics over the internet. It delivers computing as a utility or service rather than a product. There are different types of cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). Clouds can be public, private, hybrid or community and are offered by major companies like Amazon, Microsoft, Google and IBM.
This document defines cloud computing and compares it to grid computing. It outlines cloud computing architectures including service models (SaaS, PaaS, IaaS) and deployment models (public, private, hybrid, community). The benefits of cloud computing are almost zero upfront costs, usage-based pricing, and automatic scaling. Google Apps is used as an example of cloud computing services including email, chat and the Google App Engine platform. Key differences between grid and cloud computing are their business models, architectures, and applications. Grid computing focuses on scientific problems using HPC resources, while cloud computing runs varying applications with elastic resource demands.
Cloud computing is a model that provides on-demand access to a shared pool of configurable computing resources like networks, servers, storage, applications, and services. It has essential characteristics of on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three main service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Deployment models include private cloud, community cloud, public cloud, and hybrid cloud.
This document provides an overview of cloud computing. It defines cloud computing as storing and accessing data and computing services over the Internet. It then describes various cloud models including public, private, hybrid and community clouds. It also discusses the different cloud service models of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The document outlines the advantages of cloud computing as well as characteristics of the different cloud models and services.
The document provides an overview of cloud computing concepts including cloud computing characteristics, service models, deployment models, and virtualization. It defines cloud computing according to NIST as a model enabling on-demand access to a shared pool of configurable computing resources that can be rapidly provisioned with minimal management effort. The five essential cloud characteristics are described as well as the three common service models of SaaS, PaaS, and IaaS. The four deployment models and benefits of virtualization technology are also summarized.
The document provides an overview of cloud computing, including definitions of cloud, cloud characteristics, common cloud features, deployment models, service models, and examples of major cloud vendors like Amazon Web Services. It discusses how cloud computing provides on-demand access to shared computing resources over the internet and the business benefits of reduced costs and increased flexibility. However, some concerns include data security, latency issues for real-time applications, and lack of control over proprietary systems.
This document provides an overview of cloud computing, including its key characteristics, architecture, deployment models, and concepts. Cloud computing allows users to access computing resources like servers, storage, databases, networking, software and more over the internet. It delivers these resources as a service and users only pay for what they use. The architecture involves multiple cloud components communicating over APIs, with layers for clients, applications, platforms and infrastructure. Deployment models include public, private, hybrid and community clouds.
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services over the internet. It has three service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). IaaS provides basic computing resources, PaaS provides platforms to build applications, and SaaS provides complete applications users can access. Popular cloud platforms include Amazon EC2 for IaaS and Google App Engine for PaaS. Cloud computing offers advantages like scalability, cost savings and device independence.
Cloud computing is a general term for internet-based computing where shared servers provide resources, software, and data to computers and other devices on demand. It provides scalable, elastic resources without upfront investment for infrastructure. Key characteristics include pay-for-use, ubiquitous network access, resource pooling, rapid elasticity, and measured service. Common cloud service models are SaaS, PaaS, and IaaS. While the cloud provides opportunities like reduced costs and universal access, disadvantages include reliance on internet connectivity and potential security and control issues.
Cloud computing is 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. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Cloud computing provides opportunities for lower costs, improved performance and reliability, universal access, and collaboration. However, it also poses disadvantages such as reliance on a constant internet connection and potential security and performance issues.
Cloud computing provides dynamically scalable resources as a service over the Internet. It consists of interconnected, virtualized computers that are provisioned and presented as unified resources. Services include infrastructure, platform and software and are accessed from any device via the Internet in a pay-as-you-go manner. Key enabling technologies include virtualization, web services, service-oriented architecture, and mashups. Features include on-demand scaling, location independence via any device, quality of service guarantees, and no upfront capital costs as users pay for what they use. Major providers offer platforms for deployment of applications and services.
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services over the internet. It addresses challenges with conventional computing like high costs of software licensing, limited scalability and physical security issues. Cloud computing delivers resources as a service on a pay-per-use basis and provides advantages like lower costs, better service levels, rapid scalability and low maintenance requirements.
Cloud computing is 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. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Cloud computing provides opportunities for lower costs, improved performance and reliability, universal access, and collaboration. However, it also poses disadvantages such as reliance on a constant internet connection, potential security issues, and lack of local control.
Cloud computing is a general term for internet-based computing where shared servers provide resources, software, and data to computers and other devices on demand. It provides hardware, software, storage, and networking services via the internet. Users can access cloud-based applications rather than installing them locally. Key advantages include lower costs, flexibility and scalability, universal access, collaboration capabilities, and automatic software updates. However, cloud computing also requires a constant internet connection and poses security, control and performance risks for users.
Cloud computing is a general term for internet-based computing that takes place over the internet. It involves delivering hosted services like storage, databases, software, analytics and more via third-party data centers. Key characteristics include pay-as-you-go pricing, ubiquitous network access, resource pooling and rapid elasticity. The main advantages are lower costs, improved performance, unlimited storage and easier collaboration. However, it requires a constant internet connection and stored data may not be fully secure.
Cloud computing refers to storing and accessing data and programs over the Internet instead of a local computer's hard drive. It offers on-demand access to a shared pool of configurable computing resources like networks, servers, storage, applications and services. Users can scale resources up or down depending on their needs. Cloud services provide easy access from anywhere via a web browser while automatically handling maintenance and updates behind the scenes. While cloud computing offers opportunities to reduce costs and improve access through economies of scale, it also raises security, control and reliability concerns that need to be addressed.
Cloud computing refers to storing and accessing data and programs over the Internet instead of a local computer's hard drive. It offers on-demand access to a shared pool of configurable computing resources like networks, servers, storage, applications and services. Key benefits include lower upfront costs, flexibility, scalability and ubiquitous access. However, challenges relate to security, control over data and dependence on third party providers.
Cloud computing refers to storing and accessing data and programs over the Internet instead of a local computer's hard drive. It offers on-demand access to a shared pool of configurable computing resources like networks, servers, storage, applications and services. Users can scale resources up or down depending on their needs. Some key benefits include lower costs, mobility, scalability and redundancy of data. However, issues around security, control and reliability need to be addressed for widespread adoption of cloud computing.
Cloud computing is 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. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Cloud computing provides opportunities for lower costs, improved performance and reliability, universal access, and collaboration. However, it also poses disadvantages such as reliance on a constant internet connection and potential security and data loss issues.
This is the firs presentation I created for training IBM EBIS community on cloud computing and apporach to cloud sales and projects. All the materials come from IBM internal documentation and precedent classes slide.
The Most Inspiring Entrepreneurs to Follow in 2024.pdfthesiliconleaders
In a world where the potential of youth innovation remains vastly untouched, there emerges a guiding light in the form of Norm Goldstein, the Founder and CEO of EduNetwork Partners. His dedication to this cause has earned him recognition as a Congressional Leadership Award recipient.
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This presentation is a curated compilation of PowerPoint diagrams and templates designed to illustrate 20 different digital transformation frameworks and models. These frameworks are based on recent industry trends and best practices, ensuring that the content remains relevant and up-to-date.
Key highlights include Microsoft's Digital Transformation Framework, which focuses on driving innovation and efficiency, and McKinsey's Ten Guiding Principles, which provide strategic insights for successful digital transformation. Additionally, Forrester's framework emphasizes enhancing customer experiences and modernizing IT infrastructure, while IDC's MaturityScape helps assess and develop organizational digital maturity. MIT's framework explores cutting-edge strategies for achieving digital success.
These materials are perfect for enhancing your business or classroom presentations, offering visual aids to supplement your insights. Please note that while comprehensive, these slides are intended as supplementary resources and may not be complete for standalone instructional purposes.
Frameworks/Models included:
Microsoft’s Digital Transformation Framework
McKinsey’s Ten Guiding Principles of Digital Transformation
Forrester’s Digital Transformation Framework
IDC’s Digital Transformation MaturityScape
MIT’s Digital Transformation Framework
Gartner’s Digital Transformation Framework
Accenture’s Digital Strategy & Enterprise Frameworks
Deloitte’s Digital Industrial Transformation Framework
Capgemini’s Digital Transformation Framework
PwC’s Digital Transformation Framework
Cisco’s Digital Transformation Framework
Cognizant’s Digital Transformation Framework
DXC Technology’s Digital Transformation Framework
The BCG Strategy Palette
McKinsey’s Digital Transformation Framework
Digital Transformation Compass
Four Levels of Digital Maturity
Design Thinking Framework
Business Model Canvas
Customer Journey Map
Storytelling is an incredibly valuable tool to share data and information. To get the most impact from stories there are a number of key ingredients. These are based on science and human nature. Using these elements in a story you can deliver information impactfully, ensure action and drive change.
Part 2 Deep Dive: Navigating the 2024 Slowdownjeffkluth1
Introduction
The global retail industry has weathered numerous storms, with the financial crisis of 2008 serving as a poignant reminder of the sector's resilience and adaptability. However, as we navigate the complex landscape of 2024, retailers face a unique set of challenges that demand innovative strategies and a fundamental shift in mindset. This white paper contrasts the impact of the 2008 recession on the retail sector with the current headwinds retailers are grappling with, while offering a comprehensive roadmap for success in this new paradigm.
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Cloud computing
1. Hà Lê Hoài Trung 09070473
Võ Lâm Khang 09070446
2. 2
Outline
Definitions of Cloud computing
Architecture of Cloud computing
Benefits of Cloud computing
Opportunities of Cloud Computing
Cloud computing – Google Apps
Grid computing vs Cloud computing
4. 4
Definitions
Cloud computing is using the internet to
access someone else's software running
on someone else's hardware in
someone else's data center.
Lewis Cunningham[2]
5. 5
Definitions
A large-scale distributed computing
paradigm that is driven by economies of
scale, in which a pool of abstracted,
virtualized, dynamically scalable,
managed computing power, storage,
platforms, and services are delivered on
demand to external customers over the
Internet.
Ian Foster[9]
6. 6
Definitions
A Cloud is a type of parallel and distributed
system consisting of a collection of
interconnected and virtualised computers
that are dynamically provisioned and
presented as one or more unified
computing resources based on service-
level agreements established through
negotiation between the service provider
and consumers.
Rajkumar Buyya[10]
7. 7
Outline
Definitions of Cloud computing
Architecture of Cloud computing
Benefits of Cloud computing
Opportunities of Cloud Computing
Cloud computing – Google Apps
Grid computing vs Cloud computing
10. 10
Essential Characteristics[7]
On-demand self-service.
A consumer can unilaterally provision
computing capabilities such as server time
and network storage as needed
automatically, without requiring human
interaction with a service provider.
11. 11
Essential Characteristics[7]
Broad network access.
Capabilities are available over the network
and accessed through standard mechanisms
that promote use by heterogeneous thin or
thick client platforms (e.g., mobile phones,
laptops, and PDAs) as well as other traditional
or cloudbased software services.
12. 12
Essential Characteristics[7]
Resource pooling.
The provider’s computing resources are
pooled to serve multiple consumers using a
multi-tenant model, with different physical
and virtual resources dynamically assigned
and reassigned according to consumer
demand.
13. 13
Essential Characteristics[7]
Rapid elasticity.
Capabilities can be rapidly and elastically
provisioned - in some cases automatically - to
quickly scale out; and rapidly released to
quickly scale in.
To the consumer, the capabilities available for
provisioning often appear to be unlimited and
can be purchased in any quantity at any time.
14. 14
Essential Characteristics[7]
Measured service.
Cloud systems automatically control and
optimize resource usage by leveraging a
metering capability at some level of
abstraction appropriate to the type of service.
Resource usage can be monitored, controlled,
and reported - providing transparency for both
the provider and consumer of the service.
15. 15
Cloud Service Models
SPI Model
Cloud Software as a Service (SaaS)
Cloud Platform as a Service (PaaS)
Cloud Infrastructure as a Service (IaaS)
16. 16
Infrastructure as a Service (IaaS)
The capability provided to the consumer is to
provision processing, storage, networks, and
other fundamental computing resources.
Consumer is able to deploy and run arbitrary
software, which can include operating systems
and applications.
The consumer does not manage or control the
underlying cloud infrastructure but has control
over operating systems, storage, deployed
applications, and possibly limited control of
select networking components (e.g., host
firewalls).
17. 17
Platform as a Service (PaaS)
The capability provided to the consumer is to
deploy onto the cloud infrastructure consumer
created or acquired applications created using
programming languages and tools supported by
the provider.
The consumer does not manage or control the
underlying cloud infrastructure including
network, servers, operating systems, or storage,
but has control over the deployed applications
and possibly application hosting environment
configurations.
18. 18
Software as a Service (SaaS)
The capability provided to the consumer is to use
the provider’s applications running on a cloud
infrastructure.
The applications are accessible from various
client devices through a thin client interface such
as a web browser (e.g., web-based email).
The consumer does not manage or control the
underlying cloud infrastructure including network,
servers, operating systems, storage, or even
individual application capabilities, with the
possible exception of limited userspecific
application configuration settings.
20. 20
Public Cloud
The cloud infrastructure is made
available to the general public or a large
industry group and is owned by an
organization selling cloud services.
21. 21
Private Cloud
The cloud infrastructure is operated
solely for a single organization. It may be
managed by the organization or a third
party, and may exist on-premises or off-
premises.
22. 22
Community Cloud
The cloud infrastructure is shared by
several organizations and supports a
specific community that has shared
concerns (e.g., mission, security
requirements, policy, or compliance
considerations). It may be managed by
the organizations or a third party and
may exist on-premises or off-premises.
23. 23
Hybrid Cloud
The cloud infrastructure is a composition
of two or more clouds (private,
community, or public) that remain unique
entities but are bound together by
standardized or proprietary technology
that enables data and application
portability (e.g., cloud bursting for load-
balancing between clouds).
25. 25
Outline
Definitions of Cloud computing
Architecture of Cloud computing
Benefits of Cloud computing
Opportunities of Cloud Computing
Cloud computing – Google Apps
Grid computing vs Cloud computing
26. 26
Benefits of Cloud Computing
Business Benefits of Cloud
Computing
Technical Benefits of Cloud
Computing
27. 27
Business Benefits
Almost zero upfront infrastructure
investment
Just-in-time Infrastructure
More efficient resource utilization
Usage-based costing
Reduced time to market
28. 28
Technical Benefits
Automation – “Scriptable infrastructure”
Auto-scaling
Proactive Scaling
More Efficient Development lifecycle
Improved Testability
Disaster Recovery and Business
Continuity
29. 29
Outline
Definitions of Cloud computing
Architecture of Cloud computing
Benefits of Cloud computing
Opportunities of Cloud Computing
Cloud computing – Google Apps
Grid computing vs Cloud computing
30. 30
Opportunities of Cloud Computing
End consumers.
Business customers.
Developers and Independent Software
Vendors (ISVs).
Saas
Saas
Saas
31. 31
Outline
Definitions of Cloud computing
Architecture of Cloud computing
Benefits of Cloud computing
Cloud computing – Google Apps
Grid computing vs Cloud computing
36. 36
Google App Engine?
Google App Engine enables you to build
web applications on the same scalable
systems that power Google applications.
App Engine applications are easy to
build, easy to maintain, and easy to
scale as your traffic and data storage
needs grow.
Easy to build
Write local,
upload server
Easy to scale
how many user,
how much data
easy to maintain 10
year (data & application)
37. 37
Google App Engine?
Cost ?
Pay only for what you actually use.
Exceed the free quota of 500 MB of storage
and around 5M pageviews per month.
Trial? 1GB store & 5M pageviews
38. 38
Create application
build an App Engine application using
standard Java web technologies, such as
servlets and JSP.
create an App Engine Java project with
Eclipse use the Google Plugin for Eclipse for
App Engine development.
use the App Engine datastore with the
Java Data Objects (JDO) standard interface.
upload your app to App Engine.
(Use SDK)
39. 39
Outline
Definitions of Cloud computing
Architecture of Cloud computing
Benefits of Cloud computing
Opportunities and Challenges of Cloud
Computing
Cloud computing – Google Apps
Grid computing vs Cloud computing
43. 43
Business model
Cloud consumption basis.
Grid project-oriented
Grid academia
or government labs
Cloud IBM,
Google, Microsoft …
TeraGrid : number
of service units
Hour, storage,
view…
45. 45
Application
Grid Computing emerged in eScience to
solve scientific problems requiring HPC.
Cloud Computing is rather oriented
towards applications that run
permanently and have varying demand
for physical resources while running.
the well-known CRM SaaS Salesforce.com.
46. 46
References
[1] Introduction to Cloud computing White paper,
Sun Microsystems, June 2009.
[2] Lewis Cunningham, Cloud Computing with
Amazon and Oracle, 2008.
[3] Michael Armbrust et al, Above the Clouds: A
Berkeley View of Cloud Computing, Electrical
Engineering and Computer Sciences
University of California at Berkeley, February
2009.
47. 47
References
[4] Jinesh Varia, Architecting for the Cloud: Best
Practices, Amazon, May 2010.
[5] John W. Rittinghouse, James F. Ransome,
Cloud Computing Implementation, Management
and Security, CRC Press, 2010.
[6] Paul T. Jaeger, Jimmy Lin, Justin M. Grimes,
Cloud Computing and Information Policy:
Computing in a Policy Cloud?, Journal of
Information Technology & Politics, May 2010.
48. 48
References
[7] Security Guidance for Critical Areas of Focus in
Cloud Computing V2.1, Cloud Security Alliance,
December 2009.
[8] Security Best Practices, Amazon, January 2010.
[9] Ian Foster, Yong Zhao, Ioan Raicu, Shiyong Lu,
Cloud Computing and Grid Computing 360-
Degree Compared, Grid Computing
Environments Workshop, 2008.
49. 49
References
[10] Rajkumar Buyya, Chee Shin Yeo, and
Srikumar Venugopal, Market-Oriented Cloud
Computing: Vision, Hype, and Reality for
Delivering IT Services as Computing Utilities,
International Conference on High Performance
Computing, 2008.
[11] http://www.salesforce.com/cloudcomputing/
[12] http://aws.amazon.com/ec2/
End consumers, who mainly use the services of the SaaS layer over a Web browser and basic offerings of the IaaS layer as for example storage for data resulting from the usage of the SaaS layer.
Business customers that might access all three layers: the IaaS layer in order to enhance the own infrastructure with additional resources on demand, the PaaS layer in order to be able to run own applications in a Cloud and eventually the SaaS layer in order to take advantage of available applications offered as a service.
Developers and Independent Software Vendors (ISVs) that develop applications that are supposed to be offered over the SaaS layer of a Cloud. Typically, they directly access the PaaS layer, and through the PaaS layer indirectly access the IaaS layer, and are present on the SaaS layer with their application.
BigTable lưu trữ theo hệ thống phân bố. GFS : google file system hệ thồng file phân bố do google thực hiện.
JDO transaction, relationship, Statistic, query Queries with JDOQL (similar SQL not support SQL, more appropriate for object-oriented databases )
File War
Khách hàng & nhà cung cấp
Cloud : App (CRM saleforge; Live Mesh Microsoft).
collaborative engineering based on simulation, in research and development in pharmaceutical companies