rapid elasticity cloud computing example. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. rapid elasticity cloud computing example

 
, networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interactionrapid elasticity cloud computing example  These five characteristics are an important part of today’s fundamental cloud technology blueprint which will be covered in more detail below

9. Abstract. Gravity. AWS Elastic Compute Cloud (EC2) is an example of an IaaS cloud platform that. When demand is low, you can reduce resources and therefore avoid paying excess fees. Leveraging it enables organizations to develop and deploy applications faster, without needing to invest in hardware upfront. 5 Ubiquitous Access. country, state, or datacenter). To understand multitenancy, think of how banking works. Abstract and Figures. In the cloud, you want to do this automatically. Cloud computing provides a sense of location independence. Resource. Rapid elasticity ; Measured service ; Broad network access is what makes the cloud available to any device from any location. A cloud computing service that is capable of scaling up or down as a customer's need level changes. elasticity? Cloud scalability is the ability of a cloud computing system to handle increased workloads by adding more resources. The final trait highlighted in the NIST definition of cloud computing is "rapid elasticity. First, "broad network access. , country, state, or datacenter). Broadly speaking, there are three categories of cloud computing models: software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). ) Cloud computing D. Choose all that apply. Examining the found elasticity definitions, the differencesCloud scalability in cloud computing refers to increasing or decreasing IT resources as needed to meet changing demand. Businesses are restructuring to embrace the various benefits of. This feature swiftly scales the resources to meet the varying demand. Rapid Elasticity in Cloud Computing. Elasticity. The availability of various types of instances, operating systems, and software bundles, along with the fact that EC2 is compatible with most AWS providers S3, Relational Database Service (RDS), Virtual Private Cloud (VPC) make it a stable solution for computation, query. Cloud adoption drivers, barriers, and considerations. Netflix: Handling Peak Streaming Demand. The server will be used as a confidential database server for one of the companys core applications. E. Rapid Elasticity in Cloud Computing and significants - Rapid Elasticity in Cloud Computing - Studocu. . Scalability is one of the hallmarks of the cloud and the primary driver of its exploding popularity with businesses. In a cloud computing environment, which type of service would include the configuration of virtual gateways, virtual private networks, virtual servers, and virtual switches?. 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. Essential characteristic of cloud computing. 4. It means a cloud service can automatically change its resources, like computing power, storage, and bandwidth, to meet user needs. The ability to dynamically scale services being provided in direct response to the need of customers for space and other services. Elasticity is best defined as a cloud computing service's ability to dynamically adapt to meet an organization's changing demands. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. Rapid elasticity Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly. , Determine an example/ type of hypervisor where an administrator first installs. Rapid elasticity goes like this. Measured service: Usage of cloud resources is metered so that businesses and other cloud users need only pay for the resources they use in any given billing. 3. Regions & Availability Zoneshyper-hybrid cloud: A hyper-hybrid cloud is a complex distributed environment involving multiple and diverse interconnected public and private clouds , often from multiple providers . Cloud computing customers achieve not proprietary the physical infrastructure; they rent the usage from a third-party provider. In the cloud, you want to do this automatically. Rapid elasticity D. Cloud computing is an emerging. 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. Oracle Cloud Platform. Unlike traditional scaling methods, rapid elasticity enables seamless and automatic adjustments to resource allocation, catering precisely to real-time needs. Rapid elasticity in cloud computing allows infrastructure to expand or contract in response to demand fluctuations, ensuring that businesses can scale their operations seamlessly without being encumbered by fixed capacities. For example, Garg et al [6] developed a framework that measures the. Example: Consider an online shopping site whose transaction workload increases during festive season like Christmas. Cloud computing is now a well-consolidated paradigm for on-demand services provisioning on a pay-as-you-go model. Rapid Elasticity in Cloud Computing is the magic wand that empowers businesses to scale their resources dynamically as demands fluctuate. Elasticity is used to meet dynamic changes, where the resources need can increase or decrease. Essential Characteristics of Cloud Computing NIST has identified five essential characteristics of cloud computing: on -demand service, broad network access, resource pooling, rapid elasticity, and measured service. This is only one aspect to elasticity. 1. Cloud Elasticity can be triggered and executed automatically based on workload. Cloud computing is so successful because of its. Abstract and Figures. 3 Measured Service. A. Resource pooling E. It also discusses major issues and research challenges related. Rapid elasticity Rapid elasticity is (nearly) exactly what it says on the tin. See figure 3. This article reviews both classical and recent elasticity solutions. 1. Rapid Elasticity. The NIST deployment models [15], that include Private, Public, Community and. *)?$)","target":"//. Rapid Elasticity. Cloud computing customers do not own the physical engineering; they miet the usage coming a third-party provider. It also discusses major issues and research challenges related. This is one of the best cloud characteristics. Rapid elasticity. Elasticity in cloud computing is very helpful for businesses as and when they need to take measures to keep critical data secured and protected by providing added storage that they can scale immediately. Although these two phrases are frequently used synonymously, they are distinct from one another. Elasticity is a landmark of cloud computing and it implies that manufacturing organizations can rapidly provision and de-provision any of the cloud computing resources. Security Concerns Associated with Rapid Elasticity. The age of automation has arrived, allowing businesses to automate more of their processes. Cloud elasticity also prevents you from having to pay for unused capacity or idle resources, meaning you won’t have to buy. Oracle Cloud Platform allows you to run Oracle as well as non-Oracle applications smoothly on its servers. Assuming you set it up properly, you can set it so that when your utilization of a VM in the cloud reaches a threshold (say 80% for 15 minutes), another instance of that same VM would spin up. 1. Another example of cloud computing is online document storage and collaboration services like Google Docs or Microsoft Office 365. Cloud computing, or the cloud, is the access of information through the internet from a third. It means your business can increase or decrease its computing resources as needed, enabling you to avoid setbacks and unnecessary expenses. This first service (Simple Storage Service, or S3) was quickly followed by another offering (Elastic Compute Cloud, or EC2), and cloud computing became one of the hottest. , up and down to adapt to changing resource demands and dynamically meet workload requirements. In order to qualify as a Cloud compatible service, the Infrastructure, Platform, and Software must meet the NIST guidelines listed below. See full list on javatpoint. The final trait highlighted in the NIST definition of cloud computing is rapid elasticity. Community Cloud - A community cloud is shared among two or more organizations thatPrivate cloud is a type of cloud computing that delivers similar advantages to public cloud, including scalability and self-service, but through a proprietary architecture. 8 Cloud Computing Advantages: Why People Are Flooding to the Cloud. This is an attractive feature for multiple business offices and field service or sales teams that are usually outside the office. In order to qualify as a Cloud compatible service, the Infrastructure, Platform, and Software must meet the NIST guidelines listed below. A simple example of horizontal scaling in AWS Cloud is adding/removing Amazon EC2 instances from your application architecture behind Elastic Load Balancer. Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to. It is cheaper compared to virtualization. Events on e-commerce websites, like sales, promotions, and the. Cloud computing customers do not own the physical engineering; they miet the usage coming a third-party provider. The examples of cloud computing are everywhere from the messaging apps to audio and video streaming services. These services enable you to create, edit, and share documents with others over the internet. 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. The essential characteristics of cloud computing include rapid elasticity and limited network access. E. 4) Rapid Elasticity: Computing resources can be quickly and automatically provisioned and released at any time such that a consumer’s computing resources matches the demand for computing. It allows customers to outsource their IT infrastructures such as servers, networking, processing, storage, virtual machines, and other resources. Hybrid Clouds: Use public and. It allows businesses to efficiently and effectively manage their resources. For example, researchers or decision makers may want to make changes. The answer is scalability and elasticity – two essential aspects of cloud computing that greatly benefit businesses. For marketing purposes, the term elastic-ity is heavily used in cloud providers’ advertisements and even in the naming of specific products or services. ) Resource pooling. Cloud Computing. A well-known example is adding a load balancer in front of a farm of. And in the cloud, resource pooling is a multi-tenant process that depends on user demand. Private Cloud - A private cloud is established for a specific group or organization and limits access to just that group. Below are some of rapid elasticity in cloud computing examples: 1. In addition, in large-scale cloud data centers, tens of thousands of compute and storage nodes are connected by a data center network to deliver a single-purpose cloud service. g. , country, state, or datacenter). com with an Apple ID and password. Four delivery models : Private cloud, community cloud, public cloud, and hybrid cloud. 1 On-demand self-service On-demand self-service allows customers to use cloud computing as required without human contact between consumers and service. Rapid Elasticity d. E-commerce Company. Elasticity in cloud computing is very helpful for businesses as and when they need to take measures to keep critical data secured and protected by providing added storage that they can scale immediately. Study with Quizlet and memorize flashcards containing terms like "in NIST SP-800-145 : A model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e. This cloud model promotes availability and is composed of five essential characteristics (On. 1. These guidelines are the minimum requirement as additional services can be provided by a Cloud service. For example, elastic scaling can be opened as a free service for users. 9th Edition Tony Gaddis. We would like to show you a description here but the site won’t allow us. Cloud Elasticity enables organizations to rapidly scale capacity up or down, either automatically or manually. There are five main characteristics of cloud computing that make this technology easy to use and affordable. For example, Armbrust et al. 1. Even though tremendous efforts are invested to enable cloudAbstract. Resource pooling is a technical term that is commonly used in cloud computing. This cloud model promotes. Resource poolingAnswer: cloud computing. In a. Which of the following is the BEST example of rapid elasticity In cloud computing? A. Data storage capacity, processing power and networking can all be scaled using existing cloud. Elasticity. Elasticity is one of the most important characteristics of cloud computing paradigm which enables deployed application to dynamically adapt to a changing demand by acquiring and releasing shared computational resources at runtime. 1 On-demand service. 4. ) Measured service C. The cloud enables your employees to enter and use data within the business management software hosted in the cloud at the same time, from any location, and at any time. Measured Service. Rapid Elasticity . Rapid Elasticity. Resource pooling. With the term “fine grain”, they point to the granularity of one server at a time; however, they. - [Instructor] Rapid elasticity is a cloud computing characteristic. Q2. The service is typically provided over the Internet. A. Cloud Computing Example Five computers are labeled: Gmail Amazon EC Windows Live Mozy Facebook The computers are shown contained within a cloud outline. {"matched_rule":{"source":"/blog(([/?]. Rapid elasticity is an essential cloud characteristic, along with on-demand self-service, broad network access, resource pooling, and measured service. In preparation for the new employees' first day in the office, you add five new user accounts to your CRM (customer relationship management) software subscription, a service that is hosted in the cloud. Cloud computing is attractive to business owners as it eliminates the requirement for users to plan ahead for. An administrator connects to the companys cloud account and builds a server that is hosted in the cloud. Rapid Elasticity: Cloud computing resources can be scaled up or down quickly and easily in response to changing demands. Cloud computing is a technology that utilizes the internet services using a central server with the goal of maintaining a virtual nature of data and applications. Underneath I portray the three types of versatility as I see them, depicting what makes them not quite the same as one another. a) Virtualization assigns a logical name for a physical resource and then provides a pointer to that physical resource when a request is made. Rapid elasticity. Capabilities can be elastically provi- sioned and released, in some cases automatically, to Fig. For example, a cloud user may rent computing power, memory and data storage devices and run an operating system with applications of their choice on it. Here are some of the essential examples of how. Elasticity. Cloud scalability in cloud computing refers to the ability to increase or decrease IT resources as needed to meet changing demand. Because of the possible service offerings (Software, Platform or And in the cloud, resource pooling is a multi-tenant process that depends on user demand. VDI. Scalability describes the way a system is designed. b) Virtual appliances are becoming a very important standard cloud computing deployment object. Cloud computing is used to speed up the provisioning, de-provisioning, and deployment of IT resources by using automation, user-friendly online consoles. Click the card to flip 👆. This cloud. Scalability Vs. Real-world Examples of Cloud Computing Success. b. This is the ability to handle spikes in usage at least semi-automatically. Elasticity allows an organization to scale a cloud-based service up. Latency. - 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. The National Institute of Standards Technology (NIST) lists five essential characteristics of cloud computing: on-demand self-service, broad network access, resource pooling,. Scalability is becoming easier with cloud computing's rapid growth. Wats app is also a cloud-based infrastructure as it comes in communication it is also one of the examples of cloud computing. Conversely, when demand is high, you can rapidly scale up to accommodate needs without overloading your systems. For example, BigML is a machine learning platform built on the cloud that enables the creation of predictions for online big data. Projects, workflows, and processes are elastically allocated cloud resources. 3. Explore these eight key characteristics of cloud computing that explain why it's the go-to destination for building and deploying modern applications. SaaS d. Measured Service. 3. Capacity of the cloud enables business to store information about user. Scalability is one of the hallmarks of the cloud and the primary driver of its explosive popularity with businesses. What we're referring to here is the ability for cloud tenants to provision or deprovision cloud resources. On-demand self-service. To explain elasticity in the cloud, let’s look at the example of storing and running an application in the cloud. Broad network access. In 2021, almost every small and large. Prediction 4: Cloud computing takes off in emerging economies Much of the angst about what form of cloud computing end-user organizations should use (see End User Predictions below. One of the important characteristics of this rapid elasticity is that your end users are able to scale up and scale back, but the entire process is invisible to them. D)Migration. Cloud computing is a promising technology that is expected to transform the healthcare industry. (from What is Rapid Elasticity? -. Elastic cloud computing is the ability to quickly expand or decrease computer processing, memory, and storage resources to meet changing demands. It is why it is known as SaaS or Software as a Service controlled in a centralized manner. Most people, when thinking of cloud computing, think of the ease with which they can procure resources when needed. Being a cloud computing provider doesn’t mean just supplementing IT resources, it means providing strategic, core information technology. C. Resource pooling. But only eight publications directly cite NIST’s definition [4,5,18,23,24,40,52,55,63,67,75,81,83,85,100]. Cloud service providers , such as Amazon Web Services (AWS) and Microsoft Azure, offer elastic cloud computing environments that allow users to adjust their resource. AWS offers over three dozen cloud services spanning the IaaS, PaaS, and SaaS models of cloud computing, and is the most popular cloud service provider, with nearly 30% global. This could include growing the capacity of a cloud-based system's central processing unit (CPU), for instance, or its storage resources or memory. Elastic computing is a subset of cloud computing that involves dynamically operating the cloud server. Cloud computing is a general term for anything that involves delivering hosted services over the internet. A simple example architecture is provided below. NIST Definition of Cloud Computing : ”Rapid elasticity: Capabilities can be. Manual versatility starts with determining the normal responsibility on a bunch or homestead of assets, then. It also helps to get scalable services and an extra space in the cloud. D. When it comes to cloud computing and its characteristics, there are five essential characteristics of the cloud environment. Examples include email messages, videos. Typical cloud computing characteristics. individuals have key roles in the realm of cloud computing. 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. Karakteristik cloud computing wajib selanjutnya bernama rapid elasticity. Match. These capabilities should be elastically scalable both outward and inward in accordance with demand, whatever the quantity of resources required, and at any time. This means that businesses can scale their resources up and down efficiently according to their needs. customers share pooled computing resources. Cloud computing has many benefits like flexibility, cost and energy savings, resource sharing, and fast. A key feature and advantage of cloud computing is its rapid scalability. Five essential characteristics: On-demand self-service, broad network access , resource pooling, rapid elasticity, and measured service. Dustin Owens, BT Americas As somewhat of a technology-hype curmudgeon, I was until very recently in the camp that believed cloud computing was not much more than the latest marketing-driven hysteria. com with an Apple ID and password. Experts point to this kind of scalable model as one of five fundamental aspects of cloud computing. resource usage can be monitored controlled and reported this is transparent to the user and provider to see the performance and services provided. But at the scale required for even a "smaller" enterprise-level organization to. A streaming service uses elasticity to. 3. Cloud Elasticity can be triggered and executed automatically based on workload. 5. Being able to adjust available CPU resources depending on the dairy loadScaling the network, load balancers and other infrastructure tools like monitoring is needed when the system grows to surpass their capacity [60]. According to the Open Group’s risk taxonomy, “Vulnerability is the probability that an asset will be unable to resist the actions of a threat agent. 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. 7. 7. Rapid elasticity. Rapid Elasticity. individuals have key roles in the realm of cloud computing. National Institute of Standards and Technology (NIST)How is rapid Elasticity implemented in cloud computing? Rapid elasticity: the capabilities of the cloud should appear unlimited to the user. Cloud servers are easy to maintain with low to almost. The arrival of the Internet of Things (IoT) paved the way for vast. For example, a Cloud Consumer is an individual or organization that acquires and uses cloud products and services. It allows businesses to efficiently and effectively manage their resources. Measured ServiceCharacteristics of Cloud Computing. Measured service. 2. Rapid elasticity. The ability to dynamically scale services being provided in direct response to the need of customers for space and other services. 3. Cloud systems also provide infrastructure for businesses to develop and deploy enterprise software and services. Cloud Scalability vs. It is a popular cloud platform that provides a document aided database, cloud computing, and elastic database. Elasticity, one of the major benefits required for this computing model, is the ability to. e. Rapid Elasticity: Cloud computing resources can be scaled up or down quickly and easily in response to changing demands. Mobile Cloud Computing Taxonomy. Study with Quizlet and memorize flashcards containing terms like In cloud computing, how does a business benefit by the ability to scale resources on demand. In conclusion, to the question of Cloud First or Cloud Smart – this question underlines the misconception of the cloud as a place. 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. Meanwhile, cloud scalability focuses on managing the long-term growth of workloads, allowing organizations to handle anticipated increases in demand efficiently. These services and their delivery are at the core of cloud. Cloud elasticity refers to the ability to quickly and temporarily adjust resources in response to sudden or seasonal changes in workload trends. Besides promoting cost efficiency, it also facilitates resource optimization. Automated Resource Allocation. Rapid elasticity Measured service On-demand self-service Resource pooling. However,. What is community cloud example? Community cloud is a cloud infrastructure that allows systems and services to be accessible by a group of. Measured service:. On-demand self-service: This is the ability to provision a cloud resource on demand without requiring any human interaction with the service provider. Measured ServiceThere has been a lack of consensus in extant literature in terms of how cloud computing should be defined. Broad Network Access. The main benefits of agility in cloud computing are as follows: 1. A key feature and advantage of cloud computing is its rapid scalability. The concept of elasticity has been transferred to the context of cloud computing and is commonly con- In cloud computing, rapid elasticity refers to the ability of computing resources to be quickly altered to meet demand. Elasticity: Cloud computing resources can be quickly provisioned or de-provisioned in response to changes in demand. We’re probably going to get higher seasonal demand at Christmas time. Elasticity. Which term best aligns with the purpose of a hybrid cloud? A)Hashing. Second, the decentralized cloud is more costefficient because it leverages unused computing resources. Mulai dari aplikasi hingga pusat data, semuanya melalui internet menggunakan basis pay-for-use atau bayar sesuai yang kamu pakai. For example, chatbots, such as siri, Alexa and google assistant, all are cloud-based natural-language intelligent bots. One of the most common examples of cloud computing is Apple's iCloud. Broad network access. Metrology is the use of technology and other means to achieve unity and accurate and reliable measurement. Examples of resources include storage, processing, memory, network bandwidth, and virtual machines. Rapid Elasticity. With Rapid Elasticity the cloud service provider allocates and provisions resources, such as servers, storage, bandwidth, and computing power, based on the required workload. What Does Rapid Elasticity Mean? Rapid elasticity is a cloud computing term for scalable provisioning, or the ability to provide scalable services. You need reliability in cloud computing to ensure that your products and services work as expected. Because XaaS stands for "anything as a service," the list of examples is endless. C)Resource pooling. Yang mana Scalability disini merupakanthe context of cloud computing and is commonly con-sidered as one of the central attributes of the cloud paradigm [10]. Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e. Dijiang Huang, Huijun Wu, in Mobile Cloud Computing, 2018. It allows the. Rapid elasticity: Unlike on-premise hardware and software, cloud computing resources can be rapidly increased, decreased, or otherwise modified based. The ability to acquire resources as you need them and release resources when you no longer need them. SaaS is cloud-based software that companies can buy from cloud providers and use. And here is a list of AWS services and features that can help you with horizontal scaling: 1. 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. This article reviews both classical and recent elasticity solutions and provides an overview of containerization, a new technological trend in lightweight virtualization. Delaying shrinking will result in idle servers, which wastes your cloud budget. personal computer E. S. B)Rapid elasticity. 1 On-demand service. Cloud computing pools a provider's computing resources to serve multiple customers using a multi-tenant model, with different physical and virtual resources assigned and reassigned according to customer demand. 15. Its two features, Cloud elasticity and Cloud scalability, manage to keep the resource intact. Here we will examine the primary goal of rapid cloud elasticity. Resource Pooling b. They are all characteristics of cloud computing: Elasticity should not be confused with efficiency or scalability. This article reviews both classical and recent elasticity solutions and provides an overview of containerization, a new technological trend in lightweight virtualization. D. The NIST Cloud Computing Program (NCCP) created a series of public working groups on cloud computing to generate input for the SP 500-293 . Rapid Elasticity in cloud computing is the ability of the system to adjust its resource allocation in real-time. What is rapid elasticity in cloud computing? Nov 8, 2018. Rapid Elasticity: Scaling up or down resources becomes effortless, ensuring organizations can promptly meet fluctuating demands. Let’s talk about the differences between scalability and elasticity. Rapid Elasticity: The services can be provided rapidly and elastically, in some cases also automatically. The Panel discussed the Options. Rapid elasticity and scalability. What is Cloud Scalability? Cloud scalability is the ability of a cloud computing system to adapt to changing computing requirements by either increasing or decreasing its resources, such as computing power,. Rapid elasticity and scalability should be regarded as the landmark signature characteristics of cloud computing. A remote server hosting a virtualized user OS is an example of: [] VDI. Cloud computing involves providing a service over the Internet, on-demand and utility computing, distributed systems, and data processing for resource pooling, scalability, rapid elasticity, and rapid recovery from failure. Rapid elasticity is only suitable for a domain whose resource requirements suddenly up and down for a specific time interval. It differs from single-tenancy, in which a server runs a single instance of the operating system and application. D. Sensor-cloud originates from extensive recent applications of wireless sensor networks and cloud computing. Cloud Elasticity can also refer to the ability to grow or shrink the resources used by a cloud-based application. 2. Answer: [pic] True. 5. How Do the 3 Cloud Computing Service Models Differ? The three cloud service models mainly differ in what they offer out of the box. Rapid Elasticity in Cloud Computing. B)Encryption. Cloud elasticity is the automatic provisioning and deprovisioning of resources from a data center when demand from a customer increases or decreases. On-demand service, remote accessibility through a variety of networks, resource pooling, rapid elasticity and measured service are the key characteristics of cloud computing. Identify the wrong statement about cloud computing. Study with Quizlet and memorize flashcards containing terms like In cloud computing, how does a business benefit by the ability to scale resources on demand. These examples showcase how rapid elasticity, facilitated by leading cloud providers, empowers organizations to meet fluctuating workloads efficiently,. an example, a cloud customer can rent a. It provides a tool to the user for creating applications and deployment at cloud. It can be said that the services in cloud computing are all measurable, some are based on time, some are based on resource quotas, and some. Increase hardware efficiency. Rapid elasticity or cloud elasticity is used in cloud computing to get scalable provisioning. Rapid Elasticity. Cloud-Computing-ArchitectureCloud Computing atau biasa kita singkat dengan Cloud, adalah pengiriman on-demand computing resources. Resource pooling is an IT term used in cloud computing environments to describe a situation in which providers serve multiple clients, customers or "tenants" with provisional and scalable services. Cloud Elasticity can also refer to the ability to grow or shrink the resources used by a cloud-based application.