53. One of the primary differences between scalability and elasticity is the scale of resources involved. By 2025, 85% of enterprises will have a cloud-first principle — a more efficient way to host data rather than on-premises. S. 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. However, stakeholders have little guidance for choosing fitting definitions and metrics for these quality properties, thus leading to potential misunderstandings. Companies can use remote applications to process large quantities of data and create models. CC 2. Certifications in cloud computing can help clearly define who is qualified to support an organization’s cloud requirements. , 2016). Namely, the elasticity is aimed at meeting the demand at any time. where the researchers conducted investigations on Cloud Computing. Amazon EBS enables you to keep data persistently on a file system, even after you shut down your EC2 instance. Cloud computing is the delivery of computing resources over the internet. This analogy can be used to define elasticity in the case of cloud computing. Elastic computing is the ability of a cloud service provider to provision flexible computing power when and wherever required. Scalability in the cloud computing allows businesses to scale their computing resources up and down based on the requirement ensuring low infrastructure disruption. Amazon EC2 allows a developer to spin up virtual machines ( VMs ), which provide compute capacity for IT projects and cloud workloads that run with global. 2. Considering the importance of elasticity in cloud computing context, the objective of this paper is to present a comprehensive study about the elasticity. Measured Service. Storing data in the cloud allows users to take advantage of new software and services and gain insight into their business operations. Originating from the field of physics and economics, the term elasticity is nowadays heavily used in the context of cloud computing. 4. There are two types of elasticity as shown in Fig. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly ward and out ward in commensurate with demand. Scalability is one of the prominent features of cloud computing. The NIST cloud computing definition [1] is widely accepted as a valuable contribution toward providing. You need cloud scalability to meet customer demand. Abstract. Abstract. This section presented cloud computing elasticity and defined the process of elasticity management. Cloud computing is a Client-server computing architecture. 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. In this Cloud Computing Tutorial, you will learn the basics concepts of cloud computing which include multiple service models, deployment. By resources, it means the CPU memory, CPU cores, storage resources, etc. 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. Clouds are complex systems that provide computing resources in an elastic way. 5. The process of adding more nodes to accommodate growth is known as. This essential characteristic of cloud computing enables you, as the provider of cloud services or cloud infrastructure, to give your customers/tenants the resources they need to provide the best service to the tenants’ customers – the end users of the services that are hosted on your. Elasticity [91] is a wellestablished concept in Cloud Computing, and it defines the ability of a system to adapt its resources to the workload variations by autonomously provisioning or. Elasticity is how fast you can adjust to and use those resources. , networks, servers, storage,. Cloud computing is a centralized executive. Efficiency. Users become more accountable for their intake, which improves their ability to make wise decisions. Typically controlled by system monitoring tools, elastic computing matches the amount. Growing demand for cloud computing professionals. It provides companies with a flexible storage infrastructure with capacity that depends on data growth. Security is one of the biggest concerns when it comes to elastic computing. Know the difference between these approaches to make more informed choices. The National Institute of Standards and Technology (NIST) includes rapid elasticity as an essential characteristic of its definition of cloud computing: “Rapid elasticity. Cloud computing is defined as the process of providing computing resources. A PaaS provider hosts the hardware and software on its own infrastructure . The cloud is not one thing, but rather a term used to describe a computing model consisting of many moving parts. Cloud Scalability vs. Nous avons modélisé le modèle de déploiement des AbSs en utilisant les réseaux de. 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. g. Private cloud combines many of the benefits of cloud computing—including elasticity, scalability, and ease of service delivery—with the access control, security, and resource customization of. The authors define elasticity as the ability of a system to add and remove resources such as CPU cores, memory, VM and container instance, “on the fly". Elasticity can be automatic, requiring no capacity planning ahead of time, or it can be a manual process, alerting the company when resources are running low. It defines Cloud Computing as “ a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e. This could include growing the capacity of a. In some streaming platforms, users seamlessly switch between rentals and purchases. Elastic Cloud Storage (ECS) is the leading object-storage platform from Dell Technologies. Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud, offering over 200 fully featured services from data centers globally. Sources: CNSSI 4009. Elasting computing is usually associated with scale-out solutions or so-called horizontal scaling, which allow the user to add or remove resources dynamically when it is needed. Businesses use virtualization to use their hardware resources. In the cloud computing context, agility often refers to the ability to rapidly develop, test and launch software applications that drive business growth. Published: 20 Sep 2022. Existing work on elasticity lack of solid and. Elasticity. g. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e. (30 points) Describe the differences between mainframe, client-server, and cloud architectures. The charges for the services tend to be quite low. , deploying and allocating more IT resources than necessary to. Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and. Cloud Elasticity: Elasticity refers to the ability of a cloud to automatically expand or. In this work the stress is defined taking into account the accuracy while the strain is defined considering the. Maybe with an example, that would be great :) On-Premise Vs. Most people, when thinking of cloud computing, think of the ease with which they can procure resources when needed. These services and their delivery are at the core of cloud computing. We introduce a new elasticity management framework that. Both are essentially the same, except that they occur in different situations. Elasticity is a key characteristic of cloud platforms enabling resource to be acquired on-demand in response to time-varying workloads. 4. Unlike elasticity, which is more of makeshift resource allocation – cloud scalability is a part of infrastructure design. There are the following operations that we can do using cloud computing:Cloud load balancing is the process of distributing workloads and computing resources in a cloud computing environment. With the emergence of the Internet of Things (IoT), where there is a need for interconnectivity between singular devices, the cloud paradigm has. Its practical definition of “cloud” is a metaphorical method used to express the abstraction of complex infrastructure. Load balancing techniques cater the solution for load unbalancing situation for two undesirable facets- overloading and under-loading. Cloud computing is a relatively new business model in the computing world. e. 21. It eliminates the need for individuals and businesses to self-manage physical resources themselves, and only pay for what they use. Expert Solution. 1. Actually, two or more. e. Virtual software mimics the functions of physical hardware to run multiple virtual machines simultaneously on a single physical machine. Growing demand for cloud computing professionals. 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. But the definition of scalability and elasticity in cloud computing is not complete without understanding the clear connection between both these terms. 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. The elasticity process should proceed quickly, almost instantly. Although many works in literature have surveyed cloud computing and its features, there is a lack of a detailed analysis about elasticity for the cloud. Jan 2011. Cloud Scalability vs. e. , up and down to meet workload requirements dynamically. The different sub-processes and components of elasticity management were also introduced and discussed. Whereas elasticity has become mainstream for web-based, interactive applications, it is still a major research challenge how to leverage elasticity for applications from the high-performance. server time, storage) as needed automatically without requiring any human interaction. A private cloud, also known as an internal or corporate cloud, is dedicated to the needs and goals of a single organization whereas public clouds deliver services to. Speed to market: Developing in the cloud enables users to get their applications to market quickly. Define scalability and elasticity in the context of cloud computing and provide real-world scenarios where these concepts are crucial. Deployment models define the type of access to the cloud, i. This cloud model promotes. Elastic systems are systems that can readily allocate resources to the task when it arises. The public cloud can be defined as a multi-tenant computing service offered over the public internet. Broad network access: The Computing services are. Cloud Computing Elasticity – Definition The elasticity of cloud computing can be compared to using a flexible rubber band that adjusts according to. We are the first major cloud provider that supports Intel, AMD, and Arm processors. The dynamic adaptation of. , the probability that the. With utility. " In general, there are three cloud computing characteristics that are common among all cloud-computing vendors: The back-end of the application (especially. Elasticity is a defining characteristic that differentiates cloud computing from previously proposed computing paradigms, such as grid computing. The National Institute of Standards and Technology (NIST) includes rapid elasticity as an essential characteristic of its definition of cloud computing: “Rapid elasticity. EBS offers the same high availability and low-latency performance within the selected. A cloud architecture is how individual technologies are integrated to create cloud computing environments. Rapid elasticity. The data can be anything such as files, images, documents, audio, video, and more. They are provided on-demand via self-service, so vast amounts of computing resources can be provisioned in minutes. Being a cloud computing provider doesn’t mean just supplementing IT resources, it means providing strategic, core information technology. Elasticity is the foundation of cloud performance and can be considered as a great advantage and a key benefit of cloud computing. Elastic computing plays a pivotal role in managing the cloud servers in cloud computing. D) The cloud is the network of servers hosted in-house by an organization for its own requirements. dollars in 2022. Scalability: Traditional computing can be difficult to scale up or down to meet changing needs, as it. Scalability and elasticity in cloud computing are similar and often work together, though they have different definitions. 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. Software engineers define how to deprovision resources for applications that are deployed in the cloud. 8. 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. , the probability that the. In conclusion, rapid elasticity is a critical aspect of cloud computing that allows businesses to scale their resources dynamically, optimize costs, and quickly respond to changes in demand. Serverless definition. The ability to acquire resources as you need them and release resources when you no longer need them. Elastic computing is the ability of a system to adapt and manage resources according to workload requirements. e. 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. term elasticity is nowadays heavily used in the context 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. Elasticity. Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e. 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. The technical aspects of the service are fully managed by the provider. Abstract. Security, including governance, compliance and privacy, should be addressed from the outset in cloud strategy. Broad network access:. ; High scalability. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. And technology budgets are rising. This usually relies on external cloud computing services, where the local cluster provides only part of the resource pool available to all jobs. One of the most common examples of cloud computing is Apple's iCloud. AWS, Microsoft Azure, Google Cloud and other public cloud platforms make resources available to users at the click of a button or API call. One key challenge in cloud elasticity is lack of consensus on a quantifiable, measurable, observable, and calculable definition of elasticity and systematic approaches to modeling, quantifying, analyzing, and predicting elasticity. Virtualization makes multi-cloud architecture accessible. It provides a mix of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS) offerings. It allows businesses to efficiently and effectively manage their resources. Horizontal cloud scaling, also known as scaling out, is defined as the enhancement of cloud bandwidth by adding new computing nodes or machines. Cloud load balancing includes holding the circulation of workload traffic and demands. However, elasticity still lacks a. The elasticity process should proceed quickly, almost instantly. The cloud computing standard. Given the numerous overlapping factors that impact their elasticity and the unpredictable nature of the workload, providing accurate action plans to manage Cloud elasticity is a particularly challenging. Study with Quizlet and memorize flashcards containing terms like cloud computing, broad network access, rapid elasticity and more. Cloud computing is defined as the use of hosted services, such as data storage, servers, databases, networking, and software over the internet. Elasticsearch is a distributed, RESTful search and analytics engine that can address a huge number of use cases. This. 4. Cloud provides have systems in place to automatically deliver or remove resources in order to provide just the right amount of assets for each project. It is a. Storage elasticity is less well known than scalability, but it helps admins with efficiency and cost. This means that the data is kept on the AWS EBS servers even when the EC2 instances are shut down. It means that multiple customers of cloud vendor are using the same computing resources. g. Cloud computing is the On-demand availability of computing services including servers, storage, databases, networking, software, analytics, and intelligence, over the Internet. This is one of the five fundamental aspects of cloud computing. . It is very easy to. 8. The definition is as follows: “Cloud computing is a computing model: IT resources, data and applications are provided as services to users through the network. The provisioning and scheduling processes may take define elasticity as the ability of a system to add. Resource pooling. 1. Courses. Service Provider and Service consumer are. Multiple people can store their money in one bank, and their assets are completely separate even though they are stored in the same place. There are many works that try to define cloud computing elasticity. You typically pay only for cloud services you use, helping you lower your. 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 Computing Elasticity – Definition The elasticity of cloud computing can be compared to using a flexible rubber band that adjusts according to the needs of your computer resources. I INTRODUCTION Introduction to Cloud Computing – Definition of Cloud – Evolution of Cloud Computing – Underlying Principles of Parallel and Distributed Computing – Cloud Characteristics – Elasticity in Cloud – On-demand Provisioning. Users. The real difference lies in the requirements and conditions under which they. Here all the computer systems are. The structure of an ECS is defined via three types of BRS: front-end, back-end and the elasticity controller. Elasticity in cloud computing allows you to scale computer. e. In this context, elasticity is com-monly understood as the ability of a system to automati-cally provision. Depending on application. Put simply, elasticity is the ability to increase or decrease the resources a cloud-based application uses. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e. Automation. AWS elasticity allows users to dynamically scale up or down their resources based on traffic and usage patterns. 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. Cloud computing has and will continue to expand the IT operations and IT utilization options for organizations of all sizes. Elastic computing is a subset of cloud computing that involves dynamically operating the cloud server. David Carty, Site Editor. Rather than investing heavily in databases, software, and hardware, companies opt to access their compute power via the internet, or the cloud, and pay for it as they use it. However, this does not have any impact on the capacity, engineering, or planning even while having peak usage. Elasticity. Cloud load balancing is defined as the method of splitting workloads and computing properties in a cloud computing. According to Wikipedia, “In cloud computing, elasticity is defined as “the degree to which a system can 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. PaaS in cloud computing features. Elasticity is a ratio of one percentage change to. Scalability is. It monitors the health of its registered targets, and routes traffic only to the healthy targets. This means that businesses can quickly scale up or down their computing resources as needed, without the need for manual. Security. Cloud computing is defined as the process of providing computing resources. 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 goal of this technique is to adapt to. 2. The age of automation has arrived, allowing businesses to automate more of their processes. Elasticity is a fundamental property in cloud computing that has recently witnessed major developments. the provision of security applications and services via the cloud either to cloud-based infrastructure and software, or from the cloud to the customers on-premise systems. 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. 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 is a defining characteristic that differentiates cloud computing from previously proposed computing paradigms, such as grid computing. This allows cloud resources, including computing, storage and memory resources, to quickly be reallocated as demands change. Service elasticity is a common feature offered by many cloud platforms and virtualized data-centers. Enter the email address you signed up with and we'll email you a reset link. Cloud and edge computing complement each other to form a mutually beneficial and inter-dependent service. Elasticity is “The ability to acquire resources as you need them and release resources when you no longer need them. Cloud computing defined. informally, elasticity denotes the sensitivity of a depen-dent variable to changes in one or more other variables [1]. Rapid Elasticity. Firstly, one significant benefit is cost-efficiency (elasticity vs scalability in cloud computing ). Existing work on elasticity lack of solid and. Scalability is one of the hallmarks of the. Elastic environments care about being able to meet current demands without under/over provisioning, in. This article explains the. ”. A user can create, launch, and terminate server instances as needed, paying by the hour for active servers, hence the term "elastic". The NIST cloud computing definition [1] is widely accepted as a valuable contribution toward providing. 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. , deploying and allocating more IT resources than necessary to. memory space, calculation power etc. The special publication includes the five essential characteristics of cloud computing: 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 each service provider. The NIST definition of cloud computing. Rapid elasticity and scalability. It is a technology that uses remote servers on the internet to store, manage, and access data online rather than local drives. Data storage capacity, processing power and networking can all be scaled using existing cloud. For the majority of this guide, we’ve chosen to keep things simple by using on-premise non-cloud scaling for our examples. Next, we take the results of our calculations and plug them into the formula for price elasticity of supply: Price elasticity of supply = % change in quantity % change in price = 26. Load balancing is the method of distributing network traffic equally across a pool of resources that support an application. These targets could be a fleet of EC2 instances, Lambda functions, a range of IP addresses, or even. Describe on-demand self-service. Instead of organizations having to make major investments to buy equipment, train staff, and provide ongoing maintenance, some or all of these needs are handled by a cloud service provider. 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. Elasticity of the EC2. 5 Elastic Computing. Cloud computing offers faster innovation, flexible resources, and economies of scale. Explain the Software-as-a-Service (SaaS) and its. This cloud. Cloud computing is a general term for anything that involves delivering hosted services over the internet. 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. And then to remove them when they don’t need them. The cloud computing capabilities can be released elastically. Iaas is also known as Hardware as a Service (HaaS). Different clouds serve as central repositories for some or all of these services. • Elastic: refers to the ability to be increased or decreased dynamically. Offers Resilient Computing. Scalability is largely manual, planned, and predictive, while elasticity is automatic, prompt, and reactive to expected conditions and preconfigured rules. Now, with the definition of Cloud edge computing system new dimension, the proposed solutions should be revisited and extended to consider the discussed new system’s architecture and. One of the great things about cloud computing is the ability to quickly provision resources in the cloud as manufacturing organizations need them. Rapid elasticity and scalability. Broad network access: The Computing services are. Amazon Elastic Compute Cloud (Amazon EC2) provides on-demand, scalable computing capacity in the Amazon Web Services (AWS) Cloud. In simplified terms, Platform as a Service refers to a computing service in the cloud, where third-party cloud service providers employ virtualization technology to deliver a fully loaded, high-performing development platform to application developers over an Internet connection. The goal of cloud elasticity is to avoid either over-provisioning or under-provisioning a particular service or application. Rapid elasticity. Cloud elasticity is generally used by small enterprises whose workload expands only for a specific period. 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. It simply means the ability to quickly ramp up additional resources, which in the cloud usually involves scale-out techniques across widely distributed architectures. Elasticity, however, is a fuzzier term. Amazon Elastic Compute Cloud (EC2) is a part of Amazon. Users enable ELB within a single availability. In simple terms, cloud computing allows you to rent instead of buy your IT. , networks, servers, storage, applications, and. You need cloud availability to ensure that customers can access your cloud services whenever they need to and from anywhere in the world. By using cloud computing, users and companies do not have to manage physical servers themselves or run software applications on their. It is why it is known as SaaS or Software as a Service controlled in a centralized manner. Cloud Elasticity Definition- Elasticity in Cloud Computing refers to the system’s ability to increase or decrease its resources to adapt to the workload changes dynamically. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. Benefits of Cloud Elasticity in an Organization. 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. Despite that, there is no precise and common understanding of the term. Simply put, elasticity adapts to both the increase and decrease in workload by provisioning and de. The service provider’s capabilities (e. 6 A highly cited paper from 2013 defined elasticity as "the degree to which a system is able to adapt to workload changes by provisioning and deprovisioning resources in an autonomic manner, such that at each point in. The importance of IT cost management in modern organizations . a) Virtualization assigns a logical name for a physical resource and then provides a pointer to that physical resource when a request is made. Computing resources such as CPU/processing,. Some are “rented,” and some are owned. Abstract. This cloud model is composed of five essential characteristics: On-demand self-service. Broad network access: Cloud capabilities are accessible over the. Elasticity and multitenancy are distinct characteristics of cloud computing. A cloud service in which the consists of virtual machine that has defined computing resources (CPUs, RAM, disk. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e. In making cloud computing what it is today, five technologies played a vital role. It enables enterprise to manage workload demands or application demands by distributing resources among numerous computers, networks or servers. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. 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. The NIST Definition of Cloud Computing Cloud computing is a model for enabling ubiquitous, con--demand network access to a shared pool of config urable computing resources (e. FAQ. Cloud computing has revolutionized the way businesses and individuals access, store, and process data. You typically pay only for cloud services you use, helping lower your operating. They can be reached by authorized businesses and users with an internet connection. In other words, cloud computing refers to provisioning and maintaining resources in computing; cloud agility refers to issues like security. , along with the QoS (quality of service); these resources are analogous to. In the cloud computing model, theCloud computing is composed of 5 essential characteristics, viz: On-demand Self Service. Scalability and elasticity are top priorities as up-front capacity planning is nearly. Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e. 1. To understand multitenancy, think of how banking works. Azure SQL Database Elastic Jobs preview faces a refresh, introducing customer-requested features and additions including Microsoft Entra ID support, Service. What is rapid elasticity? To the consumer, the resource pool appears to be unlimited (that is, expands quickly, so it is called elastic), and the requests for new services are filled quickly. Cloud computing is a normal evolution of distributed computing combined with Service- oriented architecture, leveraging most of the GRID features and Virtualization merits. Listing 1. The vendor provides support, maintenance, upgrades, and even remote management of the private cloud. Abstract. Location and Device Independence. Measured Service. • Rapid elasticity. we provide an approach for measuring the elasticity of a cloud. Cloud elasticity serves as a cornerstone in the modern organizational infrastructure, offering a pathway to navigate the dynamic digital landscape with agility and precision. In cloud computing, resources can be dynamically provisioned on demand, and a customer has to pay only for the consumed resources. This idea first came in the 1950s. It states that the capacity and performance of any given cloud service can expand or contract according to a customer's requirements and that. You need reliability in cloud computing to ensure that your products and services work as expected. If cloud infrastructure is the tools. 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. • Pooled: multiple entities all sharing the same hardware. broad network access, resource pooling, rapid elasticity, and measured service. Another essential cloud computing characteristic is broad network access. , 2) What does the term elastic in the definition of the cloud mean? A) It means that the computing resources leased can be increased or decreased dynamically in cloud-based hosting.