Cloudbursting (capacity over drafting) is automatically adding andCloud Scalability vs. However, elasticity still lacks a precise. characteristics of the cloud computing model. e. Cloud load balancing is defined as the method of splitting workloads and computing properties in a cloud computing. , by altering the use of computing resources, to meet a varying workload is called "elastic computing". Auto scaling, also referred to as autoscaling, auto-scaling, and sometimes automatic scaling, is a cloud computing technique for dynamically allocating computational resources. 1. What is the definition of cloud-based scalability? Can the characteristics of cloud computing facilitate the implementation of scalability?Scalability and elasticity in cloud: Scalability can be defined as the cloud's ability to manage workloads by increasing or decreasing resources per the demand. PaaS in cloud computing features. Rapid elasticity. Cloud computing allows on-demand self-services. Elasticity. Public cloud is for users that want to access compute infrastructure on-demand with increased scalability, elasticity, and on a pay-per-use basis for CPU cycles, storage and bandwidth consumed over a given time period such as per. The NIST definition of cloud computing. The main cloud computing service models include infrastructure as a service. Cloud Scalability vs. A user can create, launch, and terminate server instances as needed, paying by the hour for active servers, hence the term "elastic". Cloud elasticity is a fundamental part of modern cloud computing. In [7], the traditional definition of elasticity used in physics is used to represent elasticity in cloud computing and to quantify how fast and efficiently the computing resources are varied in response to users’ demand. The process of adding more nodes to accommodate growth is. , the probability that the. Cloud agility, on the other hand, implies a value statement as it is defined as the ability to create, test, and deploy applications and software in the cloud quickly, often in response to market changes. Automation. Broad network access: The Computing services are. com's cloud-computing platform, Amazon Web Services (AWS), that allows users to rent virtual computers on which to run their own computer applications. Cloud computing is all about renting computing services. The provider securely stores, manages, and maintains the storage servers, infrastructure, and network to ensure you have. What is elastic computing or cloud elasticity? Elastic computing is the ability to quickly expand or decrease computer processing, memory, and storage resources to meet changing demands without worrying about capacity planning and engineering for peak usage. Users can select and use single or multiple services depending on their needs. It states that the capacity and performance of any given cloud service can expand or contract according to a customer's requirements and that. To handle such high volumes of traffic, most. Resource Pooling. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e. They can be reached by authorized businesses and users with an internet connection. , expression,Cloud Computing ถูกนิยามและให้คำจัดกัดความว่า. AWS elasticity allows users to dynamically scale up or down their resources based on traffic and usage patterns. This infrastructure improves. The data can be anything such as files, images, documents, audio, video, and more. 2. Sources: CNSSI 4009. Firstly, one significant benefit is cost-efficiency (elasticity vs scalability in cloud computing ). Using Amazon EC2 reduces. Also, as more and more people start using such SaaS services as service providers. Amazon Elastic Compute Cloud (EC2) offers granular control for managing your infrastructure with the choice of. It determines whether the systems are working properly, used to measure their performance, determine the usage of patterns and predict future demand of cloud-capacity. A third group of services integrate with AWS Auto Scaling. These targets could be a fleet of EC2 instances, Lambda functions, a range of IP addresses, or even. Cloud computing [1] is the on-demand availability of computer system resources, especially data storage ( cloud storage) and computing power, without direct active management by the user. Elasticity, one of the major benefits required for this computing model, is the ability to add and remove resources “on the fly” to handle the load variation. Amazon Web Services (AWS) is a comprehensive, evolving cloud computing platform provided by Amazon. Courses. Cloud computing is a Client-server computing architecture. Elasticity is a ratio of one percentage change to. It defines Cloud Computing as “ a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e. Originating from the field of physics and economics, the term elasticity is nowadays heavily used in the context of cloud computing. ELB helps an IT team adjust capacity according to incoming application and network traffic. Now the main function of an Elastic Load Balancer, commonly referred to as an ELB, is to help manage and control the flow of inbound requests destined to a group of targets by distributing these requests evenly across the targeted resource group. chapter 6 team exercise. The ability to acquire resources as you need them and release resources when you no longer need them. In NIST’s definition of cloud computing, the five essential characteristics of cloud computing are addressed. 1: horizon- tal and vertical. Cloud computing [1] is the on-demand availability of computer system resources, especially data storage ( cloud storage) and computing power, without direct active management by the user. The ability to acquire resources as you need them and release resources when you no longer need them. " Elastic computing is critical to cost reductions and time to market (TTM). 2. Elasticity. Description and Evaluation of Elasticity Strategies for Business Processes in the Cloud. The NIST cloud computing definition [1] is widely accepted as a valuable contribution toward providing. Cloud Scalability vs. Clouds are complex systems that provide computing resources in an elastic way. Rapid elasticity refers to the ability of cloud computing systems to rapidly and automatically adjust computing resources, such as processing power, storage, and bandwidth, in response to changes in demand. AWS, Microsoft Azure, Google Cloud and other public cloud platforms make resources available to users at the click of a button or API call. we profit. In the cloud, you want to do this automatically. The ability of cloud computing to automatically install, configure and maintain a cloud service is known as automation in cloud computing. Start with security. Cloud computing is defined as the process of providing computing resources. Now the main function of an Elastic Load Balancer, commonly referred to as an ELB, is to help manage and control the flow of inbound requests destined to a group of targets by distributing these requests evenly across the targeted resource group. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. Elasticity implies the ability to shift and pool resources across disparate infrastructure so that data needs and resource availability can. dollars in 2022. Virtualization is technology that you can use to create virtual representations of servers, storage, networks, and other physical machines. This cloud. Elasticity. 4. Elasticity in Cloud Computing: State of the Art and Research Challenges Yahya Al-Dhuraibi, Fawaz Paraiso, Nabil Djarallah, Philippe Merle To cite this version: Yahya Al-Dhuraibi, Fawaz Paraiso, Nabil Djarallah, Philippe Merle. Describe on-demand self-service. The elasticity of these resources can be in terms of processing power,. Elasticity rather reflects the condition of your system. The charges for the services tend to be quite low. 1. Rapid Elasticity in Cloud Computing. Cloud computing is the On-demand availability of computing services including servers, storage, databases, networking, software, analytics, and intelligence, over the Internet. Private cloud is a cloud environment in which all cloud infrastructure and computing resources are dedicated to, and accessible by, one customer only. C) The cloud is the elastic leasing of in-house computer hardware. First, we present a new, quantitative, and formal definition of elasticity in cloud computing, i. Clouds are complex systems that provide computing resources in an elastic way. Elasticity is the ability to automatically or dynamically increase or decrease the resources as needed. While we often use it to refer to a system’s ability to grow, it is not exclusive to this definition. Similarly, Edge and Cloud Computing life cycle is defined around three functions (Figure2, Figure 3). Originating from the field of physics and economics, the term elasticity is nowadays heavily used in the context of cloud computing. Computing resources such as CPU/processing,. Definition of Cloud Computing: Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e. Computing resources such as CPU/processing,. g. A beginner’s guide. In many ways, cloud computing is defined by its elastic nature, which also sets it apart from traditional computing paradigms including client-server, grid computing, and legacy infrastructure. Cloud Capacity Planning. Both are essentially the same, except that they occur in different situations. e. 5 min read - The rise of digital transformation and the increased popularity of cloud computing helps companies deliver unique services to customers online and leads many organizations to consider themselves as technology companies. System monitoring tools control Elastic. Conversely, when demand is high, you can rapidly scale up to accommodate needs without overloading your systems. A change of configuration is also possible with a short reaction time by the provider. However, it is not always feasible for a business to relinquish full control over the data and infrastructure due to compliance, retention or cost [10]. Elasticity is a 'rename' of scalability, a known non-functional requirement in IT architecture for many years already. For most industry observers, the cloud era began when Amazon Web Services offered their first service to the public on March 13, 2006. With the emergence of the Internet of Things (IoT), where there is a need for interconnectivity between singular devices, the cloud paradigm has. And technology budgets are rising. An overview of Cloud Scalable. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. The NIST cloud computing definition [1] is widely accepted as a valuable contribution toward providing. 3 Elasticity Definition Elasticity is the degree to which a system is able to adapt to workload changes by provisioning and de-provisioning resources in an autonomic manner, such that at each point in time the available resources match the current demand as closely as possible. In simple words, it is the process of making the most of the technology and minimizing the manual effort. Elasticity in cloud computing allows you to scale computer processing, memory, and storage capacity to meet changing demands. Deployment models define the type of access to the cloud, i. 3. 4 = 3. Definition, Process, and Best Practices. Elastic computing is a subset of cloud computing that involves dynamically operating the cloud server. Another essential cloud computing characteristic is broad network access. Elasticity, in my very humble opinion, is the true golden nugget of cloud computing and what makes the entire concept extraordinarily evolutionary, if not revolutionary. Elastic computing is the ability of a cloud service provider to provision flexible computing power when and wherever required. It enables enterprise to manage workload demands or application demands by distributing resources among numerous computers, networks or servers. It enables you to scale the cloud computing services inward and outward, and it helps to be commensurate with the dynamic demand posted by the end-users. 1. Cloud computing offers secure on-demand storage, servers, databases, networking, and software accessible over the internet (the cloud). The core idea behind cloud computing is to enable users to only pay for what they need, which is achieved in part with elastic resources -- applications and infrastructure that can be called on as needed to meet demand. However, stakeholders have little guidance for choosing fitting definitions and metrics for these quality properties, thus leading to potential misunderstandings. CSIT 8th semester old question collection :Introduction to Cloud Computing 2072. It is a long-term event that is used to deal with an expected growth in demand. Businesses use virtualization to use their hardware resources. broad network access, resource pooling, rapid elasticity, and measured service. A precise definition of elasticity is proposed and its core properties and requirements explicitly distinguishing from related terms such as scalability and efficiency are analyzed. , the probability that the. . Data security: Hardware failures do not result in data loss because of networked backups. " In general, there are three cloud computing characteristics that are common among all cloud-computing vendors: The back-end of the application (especially. This is the provisioned part of a virtual computing environment -- essentially a preconfigured. The system’s measure of elasticity estimates how readily the. g. Elasticity is how fast you can adjust to and use those resources. This article will explore the capabilities and major features of Amazon EC2, look at the pricing plans available,. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. 3. Cloud Elasticity. 53. If you have an iPhone, you've likely backed up its contents to iCloud. Elasticity is a unique feature that enables the cloud platforms to add and remove resources “on the fly” to. Answer: In the context of cloud computing, elasticity refers to the ability of a system or infrastructure to automatically scale its resources up or down in response to the changing workload or demand. 3. Put simply, elasticity is the ability to increase or decrease the resources a cloud-based application uses. Cloud Elasticity can be automatic, without need to perform capacity planning in advance of the occasion, or it can be a manual process where the organization is notified they are running low on. This cloud model promotes. It provides a mix of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS) offerings. e. 1. These services can be adjusted to suit each client's needs without any changes being apparent to the client or end user. There are many works that try to define cloud computing elasticity. AWS offers the broadest and deepest functionality for compute. Elastic computing is a subset of cloud computing that involves dynamically operating the cloud server. , the probability that the computing resources provided by a cloud platform match the current. e. cloud that his data or information will be isolated in the cloud and cannot be accessed by other members sharing the cloud. However, elasticity still lacks a. Azure SQL Database Elastic Jobs preview faces a refresh, introducing customer-requested features and additions including Microsoft Entra ID support, Service. g. Security, including governance, compliance and privacy, should be addressed from the outset in cloud strategy. Most people, when thinking of cloud computing, think of the ease with which they can procure resources when needed. Elastic Computing is the capability of the cloud services to decrease or expand the computer storage, memory, processing for overcoming the fluctuating demands that arise every day. Elastic computing plays a pivotal role in managing the cloud servers in cloud computing. Amazon EBS enables you to keep data persistently on a file system, even after you shut down your EC2 instance. Cloud agility, on the other hand, implies a value statement as it is defined as the ability to create, test, and deploy applications and software in the cloud quickly, often in response to market changes. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e. Users. Certifications in cloud computing can help clearly define who is qualified to support an organization’s cloud requirements. , the probability that the computing resources provided by a. An elastic cloud is a cloud computing offering that provides variable service levels based on changing needs. Elasticity in Cloud Computing: State of the Art and Research Challenges Yahya Al-Dhuraibi, Fawaz Paraiso, Nabil Djarallah, Philippe Merle To cite this version: Yahya Al-Dhuraibi, Fawaz Paraiso, Nabil Djarallah, Philippe Merle. Nov 8, 2018. It’s the cloud’s way of saying, “I’ve got you covered, no matter what. If cloud infrastructure is the tools. Elastic computing is the ability of a system to adapt and manage resources according to workload requirements. , the service designer, using SYBL, stating that when the total cloud service price is higher than 800 Euro, a scale-in action is needed. Elasticity is best defined as a cloud computing service's ability to dynamically adapt to meet an organization's changing demands. Clients, users, or businesses acquire amenities such as data storage space, computing capabilities, applications services, virtual servers, or even hardware rentals such as CPUs, monitors, and input. If the workload increases, more resources are released to the system; on the contrary, resources are Elastic cloud storage. A New Model for IT Infrastructure. However, there is no clear, concise, and formal definition of elasticity measurement, and thus no effective approach to elasticity quantification has been developed so far. In computing, a platform is defined as a computer system that applications run on, or as a base of. Explain elasticity as it relates to cloud computing. Elastic Scaling:. The cloud computing capabilities can be released elastically. What is cloud elasticity? Cloud elasticity is a system’s ability to increase (or decrease) its varying capacity-related needs such as storage, networking, and computing based on specific criteria (think: total load on the system). Most people, when thinking of cloud computing, think of the ease with which they can procure resources when needed. Cloud Models Explained. metered services (pay-per-use): Metered services (also called pay-per-use) is any type of payment structure in which a customer has access to potentially unlimited resources but only pays for what they actually use. NIST SP 800-145, The NIST Definition of Cloud Computing, Cloud Computing, SaaS, PaaS, IaaS, On-demand Self Service, Reserve Pooling, Rapid Elasticity, Measured Service. Published: 20 Sep 2022. FAQ. The dynamic adaptation of capacity, e. Cloud Elasticity. Elasticity. Cloud computing is the on-demand delivery of computing resources and services over a hybrid, private, public, or multi-cloud network. 3. PaaS Definition. , networks, servers, storage,. Cloud scalability in cloud computing refers to the ability to increase or decrease IT resources as needed to meet changing demand. For Cisco, speed and accuracy are crucial to rectifying customer service requests. Rapid elasticity and scalability. Its ability to quickly make adjustments in the resources without hindering the system’s. Storing data in the cloud allows users to take advantage of new software and services and gain insight into their business operations. Click the card to flip 👆. This cloud. Horizontal cloud scaling is the addition of computing nodes to cloud infrastructure to enhance bandwidth capabilities. Capabilities can be elastically provi- sioned and released, in some cases automatically, to Fig. In contempt of the importance of load balancing techniques to the best. Rapid Elasticity. While elasticity usually involves the dynamic allocation of memory and CPU resources, scalability often consists of the provisioning of new servers to meet static demand growth. What is Cloud Elasticity? Cloud elasticity in cloud computing is the ability to rapidly and dynamically allocate cloud resources, including compute, storage, and memory resources, in response to changing demands. Elasticity is one of these key features. You can access cloud services over the network and on portable devices like mobile phones, tablets, laptops, and desktop computers. Cloud Elasticity. This type of private cloud is managed by a third-party vendor. Some are “rented,” and some are owned. The elasticity process should proceed quickly, almost instantly. Cloud computing is now a well-consolidated paradigm for on-demand services provisioning on a pay-as-you-go model. Elasticity refers to the ability of a system or infrastructure to automatically adjust its resources in response to changes in demand. Amazon also provides local storage for EC2 instances. To better understand this concept, let us consider a. This can be defined as the ability to adapt the system to workload changes, by autonomously provisioning and deprovisioning resources, so that at each point in time, the available resources match the current service demand as closely as possible []. provision resources 2. As the name suggests, elastic compute services offer a cloud service provider the ability to scale up and down the computing resources like memory, bandwidth, infrastructure, etc. System monitoring tools control Elastic computing so. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction “. , deploying and allocating more IT resources than necessary to. Elastic computing refers to a scenario in which the overall resource footprint available in a system or consumed by a specific job can grow or shrink on demand. The significant business and technical advantages offered by the cloud are changing the landscape of how many companies and corporations operate on a huge scale. These 5 characteristics of cloud computing are what make the technology the most buzzing and in-demand technology of today. Elasticity is a dynamic property for cloud computing. It specifies how your cloud infrastructure will look, what you. Load balancing is the method of distributing network traffic equally across a pool of resources that support an application. This usually relies on external cloud computing services, where the local cluster provides only part of the resource pool available to all jobs. In making cloud computing what it is today, five technologies played a vital role. Typically controlled by system monitoring tools, elastic computing matches the amount. 21. However, cloud scaling works much the same. Cloud-native is a modern approach to building and running software applications that exploits the flexibility, scalability, and resilience of cloud computing. Cloud computing has and will continue to expand the IT operations and IT utilization options for organizations of all sizes. 4. Elastic Cloud Storage (ECS) is the leading object-storage platform from Dell Technologies. You need reliability in cloud computing to ensure that your products and services work as expected. ELB automatically distributes incoming application traffic and scales resources to meet traffic demands. You need cloud scalability to meet customer demand. It is of two types - horizontal and vertical. การประมวลผลใดๆ ผ่านเครือข่าย Internet ที่พร้อมให้บริการกับผู้ใช้งาน เมื่อไรก็ตามที่มี. ; High scalability. Among the cloud features, we highlight elasticity as one of the most pertinent for this kind of demand, particularly because this facility is in charge of on-the-fly modifying resource. It allows businesses to efficiently and effectively manage their resources. The central idea behind scalability is to provide sufficient resources to a computing system to deal with momentary demand. 5. Cloud infrastructure refers to the hardware and software components -- such as servers , storage, a network and virtualization software -- that are needed to support the computing requirements of a cloud computing model. Cloud computing must have on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service, On-demand self-service allows the consumer to access the computing capabilities automatically without having human interaction with the service provider. Cloud elasticity allows businesses to easily adjust their capacity, manually or automatically, to meet increased demand. This article explains the. Benefits of Cloud Computing. There are many characteristics of Cloud Computing here are few of them : On-demand self-services: The Cloud computing services does not require any human administrators, user themselves are able to provision, monitor and manage computing resources as needed. g. Elasticity. Cloud Edge Computing Elasticity. Service elasticity is a common feature offered by many cloud platforms and virtualized data-centers. This could include growing the capacity of a. S. You can use Amazon EC2 to launch as many or as few virtual servers as you need, configure security and networking, and manage. A cloud service provider (CSP) may implement hyper-converged infrastructure-based horizontal scaling or choose to use virtual distributed services. Article. It ensures fast data processing, low latency, and high availability, making it suitable for applications with stringent performance requirements, such as scientific research, AI/ML, and real-time. Depending on the load to a server farm or pool, the number of servers that are active will typically vary automatically as user needs fluctuate. Using the Cloud means agility and adding business value. Define Rapid Elasticity. Vertical scale, e. Elasticity allows their adaptation to input workloads by (de)provisioning resources as the demand rises and drops. ; Result: The streaming. g. server time, storage) as needed automatically without requiring any human interaction. We introduce a new elasticity management framework that. Cloud computing is a relatively new business model in the computing world. The process of adding more nodes to accommodate growth is known as. The location of the servers you’re utilizing and who controls them are defined by a cloud deployment model. However, there is no clear, concise, and formal definition of elasticity measurement, and thus no effective approach to elasticity quantification has been developed so far. Implement redundant systems: Using redundant systems, such as multiple servers or data centers, can help ensure that the system continues to function even if one component fails. The cloud deployment model identifies the specific type of cloud environment based on ownership, scale, and access, as well as the cloud’s nature and purpose. It is why it is known as SaaS or Software as a Service controlled in a centralized manner. dollars in 2022. Cloud computing is the delivery of computer resources like data storage via the internet. Simply put, scalability is the ability to add or subtract computing resources as needed. Although. Simply put, cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale. It allows customers to outsource their IT infrastructures such as servers, networking, processing, storage, virtual machines, and other resources. The definition of cloud computing is the system of computer resources, infrastructure, computing power, and data storage that are available on-demand without user involvement. You typically pay only for cloud services you use, helping you lower your. Gartner provides this definition that encompasses the essence of the cloud: “Cloud computing is a style of computing in which scalable and elastic IT-enabled. Apart from the above, some other Cloud Computing advantages are: On-Demand Self-service. ECS supports both traditional and next-generation workloads and can be deployed as a software-defined model or as a turnkey appliance. Rapid elasticity. Dell ECS stands for “Dell Elastic Cloud Storage. The increase / decrease is triggered by business rules defined in advance (usually related to application's demands). In the cloud, you want to do this automatically. Disadvantages of Traditional Computing : Cost: Traditional computing can be more expensive than cloud computing, as it requires significant capital expenditures for hardware and software, as well as ongoing maintenance and support expenses. Load balancing allows enterprises to manage application or workload demands by allocating resources among multiple computers, networks or servers. The ability to acquire resources as you need them and release resources when you no longer need them. Elastic resources match the current needs and resources are added or removed automatically to meet future demands. Cloud Computing Elasticity – Definition The elasticity of cloud computing can be compared to using a flexible rubber band that adjusts according to. Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and. 2. g. This section presented cloud computing elasticity and defined the process of elasticity management. Elasticity of the EC2. Elasticity is “The ability to acquire resources as you need them and release resources when you no longer need them. Key Cloud Computing Drivers: Elasticity (define, plus sub-bullets V and S) Definition. Cloud Service Elasticity. Erl (if I have understand it correctly) that scalability is the ability of a resource to increase or decrease by demand, and that elasticity is the automatic scaling of a resource by demand of a resource. PaaS Definition. The elasticity afforded by the cloud platform also enabled the bank to dynamically scale almost 100 percent of its applications up and down based on customer demand. Cloud is a model of computing where servers, networks, storage, development tools, and even applications (apps) are enabled through the internet. In both cases, elasticity is an intuitive concept and can be precisely described using mathematical formulas. Elasticity = The environment transparently manages a user's resource utilization based on dynamically changing needs Virtualization - Each user has a single view of the available resources, independentlyAbstract: Elasticity is a fundamental feature of cloud computing and can be considered as a great advantage and a key benefit of cloud computing. Google App Engine, one of the earliest PaaS cloud offerings, offered automatic scaling from the early days of cloud computing. Scalability is one of the hallmarks of the cloud and the primary driver of its exploding popularity with businesses. 2. It provides a mix of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS) offerings. Rapid Access Computing Environment (RACE) is a United States federal government infrastructure-as-a-service ( IaaS ) initiative for developing and testing new Department of Defense (DoD) software applications. Actuating (processing data); and Communicating (distributing data). First, we present a new, quantitative, and formal definition of elasticity in cloud computing, i. Elastic Stack is a group of products that can reliably and securely take data from any source, in any format, then search, analyze, and visualize it in real-time. False. Customers improve their disaster recovery posture with automation. In distributed system and system resource, elasticity is defined as "the degree to which a system is able to adapt to workload changes by provisioning and de-provisioning resources in an autonomic manner, such that at each point in time the available resources match the current demand as closely as possible". A second important term related to EC2 is Amazon Machine Image (AMI). Scalability is one of the hallmarks of the. Utility Computing. These services are divided into three main categories or types of cloud computing: infrastructure as a service ( IaaS ), platform as a service ( PaaS) and software as a service ( SaaS ). Cloud Agility allows them to focus on other issues such as security, monitoring and analysis, instead of provisioning and maintaining. Elasticity and multitenancy are distinct characteristics of cloud computing. Measured service is a term that IT professionals apply to cloud computing. And then to remove them when they don’t need them. Services include storage, networking, analysis, etc. Listing 1. e. Certifications in cloud computing can help clearly define who is qualified to support an organization’s cloud requirements. 1. Elasticity is related to the dynamic use of current resources, whereas scalability is the accommodation of larger workloads without the transformation of complete existing infrastructure. Amazon EC2 (Elastic Compute Cloud) is a service that provides scalable compute capacity in the cloud, making web-scale cloud computing simpler for developers and other users demanding high levels of performance. Pour cela, nous avons défini un modèle formel pour l'élasticité des AbSs dans le cloud.