Selected Answer: B. Rapid elasticity. Resource poolingAnswer: cloud computing. Elasticity, one of the major benefits required for this computing model, is the ability to. 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. Measured Service. The goal of cloud elasticity is to avoid either over-provisioning or under-provisioning a particular service or application. E. 1. 1. In cloud systems, a metering capability optimizes resource usage at a level of abstraction appropriate to the type of. 3. 3. 3. Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e. We introduce a new elasticity management framework that. By leveraging the benefits of rapid elasticity, organizations can achieve greater flexibility, agility, and cost efficiency in their operations. 21. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. Rapid Elasticity. This article reviews both classical and recent elasticity solutions. Broad network access plays a vital role in facilitating connectivity, resource accessibility, and mobility within the cloud computing landscape. Which of the following is not an example of cloud computing?. And in the cloud, resource pooling is a multi-tenant process that depends on user demand. Rapid elasticity ; Measured service ; Broad network access is what makes the cloud available to any device from any location. Cloud computing public – private. 1. It allows the. In the cloud, you want to do this automatically. Essential characteristic of cloud computing. This cloud model promotes availability and is composed of five essential characteristics (On. It allows customers to outsource their IT infrastructures such as servers, networking, processing, storage, virtual machines, and other resources. 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. Rapid elasticity: Unlike on-premise hardware and software, cloud computing resources can be rapidly increased, decreased, or otherwise modified based on the cloud user’s changing needs. Types & Examples; Cloud Computing Model: Characteristics & Descriptions; Cloud Service. , country, state, or datacenter). The service is typically provided over the Internet. demand self-service, broad network access, resource pooling, rapid elasticity and measured service. 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. Rapid elasticity. Four Deployment Models: (1) private clouds, (2. The primary purpose of rapid elasticity in cloud computing is to increase concern in experimental computing situations. An internet connection, WAN, or VPN is used to connect to the cloud; The same virtualization techniques from public clouds but at the cloud providers data center In AWS terms, that would mean the way, for instance, EC2 makes instances available to you when needed, but lets you drop them when they’re not; charging you only for up time. Cloud computing is a model for enabling ubiquitous, convenient, demand network access to a shared on-. Google Cloud Platform. In NIST’s definition of cloud computing, the five essential characteristics of cloud computing are addressed. 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. The resources will differ depending upon the. Security Concerns Associated with Rapid Elasticity. This is only one aspect to elasticity. Choose all that apply. Cloud is a model of computing where servers, networks, storage, development tools, and even applications (apps) are enabled through the internet. 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. Cloud computing services allow businesses and their clients to do their work seamlessly. Consumers benefit from rapid elasticity because they can expand or reduce their resources how and when they would like. Benefits of Cloud Computing. Handles rapid and unpredictable changes in a scalable capacity ; Generally more granular and targeted than elasticity in terms of sizing; Ideal for businesses with a predictable and preplanned workload where capacity planning and performance are relatively stable; Example of cloud scalability . Cloud Computing Example Five computers are labeled: Gmail Amazon EC Windows Live Mozy Facebook The computers are shown contained within a cloud outline. Unlike elasticity, which is more of makeshift resource allocation – cloud scalability is a part of infrastructure design. Rapid elasticity D. Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to. e. One of the great things about cloud computing is the ability to quickly provision resources in the cloud as manufacturing organizations need them. This provider decentralization is more efficient and more scalable. On-demand self-service: This is the ability to provision a cloud resource on demand without requiring any human interaction with the service provider. Module 13: Cloud Computing. Elasticity is a fundamental property in cloud computing that has recently witnessed major developments. 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. Amazon Web Services (AWS) Amazon Web Services is a suite of cloud computing services that make a comprehensive cloud platform offered by Amazon. 1. It also discusses major issues and research challenges related. Cloud elasticity is the automatic provisioning and deprovisioning of resources from a data center when demand from a customer increases or decreases. ) Measured service C. Measured service:. Cloud computing is used to speed up the provisioning, de-provisioning, and deployment of IT resources by using automation, user-friendly online consoles. Cloud computing [4] is characterized by on-demand provi-sioning, resource pooling, rapid. Examples of. With the term “fine grain”, they point to the granularity of one server at a time; however, they. With Rapid Elasticity the cloud service provider allocates and provisions resources, such as servers, storage, bandwidth, and computing power, based on the required workload. Rapid Elasticity . Another essential characteristic of cloud computing is its elasticity and scalability, which are key components of its services. A. Software-as-a-Service (SaaS) solutions are growing in. Rapid elasticity and scalability. Cloud computing is attractive to business owners as it eliminates. In cloud computing, the term "Measured service" refers to a billing model in which gaining access to resources does not require payment of a flat fee. 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. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e. This is the ability to handle spikes in usage at least semi-automatically. In the service provider view, cloud service elasticity is the ability to increase or decrease the amount of system capacity (for example, CPU, storage, memory and input/output bandwidth) that is available for a given cloud service on demand, in an automated fashion. Recently, cloud computing has been gaining more popularity and has received a great deal of attention from both industrial and academic worlds. A. 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. 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 computing provides rapid access to shared pools of resources, such as: compute, storage, networks, applications, services, or libraries using an on-demand, utility-based model. This article reviews both classical and recent elasticity solutions and provides an overview of containerization, a new technological trend in lightweight virtualization. Which of the following cloud models is this an example of?Iaas is also known as Hardware as a Service (HaaS). Rapid elasticity in cloud computing uses increased automation in your IT environment, which has many benefits. It allows businesses to efficiently and effectively manage their resources. 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. personal computer E. [] Measured service [] On-demand self-service [] Broad network access [] Rapid elasticity. The age of automation has arrived, allowing businesses to automate more of their processes. Cloud computing customers do not own the physical infrastructure; they rent the usage from a third-party provider. Economical. Big data as a service is a famous example of big data with cloud. Rapid elasticity is only suitable for a domain whose resource requirements suddenly up and down for a specific time interval. Cloud computing is so successful because of its. If you have an iPhone, you've likely backed up its contents to iCloud. Cloud computing is now a well-consolidated paradigm for on-demand services provisioning on a pay-as-you-go model. Rapid elasticity is a cloud computing term for scalable provisioning, or the ability to provide scalable services. Cloud Computing refers to providing computing and communications-related services with the aid of remotely located, network-based resources without a user of such resources having to own. 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. Rapid elasticity is one of the five essential characteristics of cloud computing, along with on-demand self-service, broad. 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. Cloud computing delivers affordable resource pooling solutions. Q1. 4. The growth and use of public cloud services is one of the most significant changes in corporate computing history. Being able t limit the amount of resources used by a group of virtual servers C. See more. The age of automation has arrived, allowing businesses to automate more of their processes. It allows customers to outsource their IT infrastructures such as servers, networking, processing, storage, virtual machines, and other resources. D. It also lists three "service models" (software, platform and infrastructure), and four "deployment models" (private, community, public and hybrid) that. Which of the following is the BEST example of rapid elasticity In cloud computing? A. According to NIST definition of cloud computing, it has five characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service, while mobile computing focuses on device mobility and context awareness considering networking and mobile resource/data access. Examples of Rapid elasticity and scalability in a sentence. Broad network access:. 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. Study with Quizlet and memorize flashcards containing terms like Name the type of hypervisor in which the virtualization software installs directly on the physical server without using a traditional OS layer between the hardware and the hypervisor. Rapid Elasticity. This is only one aspect to elasticity. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. 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. Rapid elasticity: Unlike on-premise hardware and software, cloud computing resources can be rapidly increased, decreased, or otherwise modified based on the cloud user’s changing needs. Rapid Elasticity: Cloud computing resources can be scaled up or down quickly and easily in response to changing demands. With rapid elasticity, you won’t need to buy computer hardware. With elastic scaling, resources are dynamically allocated based on 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. Scalability will prevent you from having to. Cloud computing is defined by five essential characteristics: resource pooling, broad network access, on-demand self-service, rapid elasticity, and a measured service. 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. C. Examining the found elasticity definitions, the differencesCloud scalability in cloud computing refers to increasing or decreasing IT resources as needed to meet changing demand. The Pros of Cloud Elasticity. A key feature and advantage of cloud computing is its rapid scalability. *)?$)","target":"//. 4 Rapid Elasticity and Scalability:. Most people, when thinking of cloud computing, think of the ease with which they can procure resources when needed. Cloud elasticity is a fundamental part of modern cloud computing. Measured service, in terms of the cloud, takes the majority of the above effort out of the equation, thereby dramatically reducing the associated operational expense. The provider administers the data stored in real-time without conflicting with the client’s need for data. Rapid Elasticity. Computer hardware consists of technology for computer processing, data storage, input, and output, such as large mainframes, servers, midrange computers, desktop and laptop computers. Measured Service. ) without it negatively affecting performance. com with an Apple ID and password. g. Cloud elasticity is a fundamental part of modern cloud computing. The presence of. In order to qualify as a Cloud compatible service, the Infrastructure, Platform, and Software must meet the NIST guidelines listed below. At moment , the website is unpopular and a. The final trait highlighted in the NIST definition of cloud computing is rapid elasticity. Some examples of non-healthcare applications of cloud computing include Google, Gmail, Docs, and Microsoft Hotmail, while some healthcare examples include the Google Health platform and Microsoft. To understand multitenancy, think of how banking works. Figure 1-1. Cloud Requirements. Cloud: Another term for internet. Broad network access. Amazon EC2 provides scalable computing capacity in the AWS cloud. 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. B. Cloud servers are easy to maintain with low to almost. rapid elasticity and measured service; Three service models—Software as a. Rapid elasticity and scalability should be regarded as the landmark signature characteristics of cloud computing. , up and down to adapt to changing resource demands and dynamically meet workload requirements. The cloud computing model. 3. On demand self-services, Which of the following actions should be. Elasticity is a fundamental property in cloud computing that has recently witnessed major developments. Elastic computing plays a pivotal role in managing the cloud servers in cloud computing. The ability of the cloud to grow to satisfy user demand is an example of which essential cloud characteristic? Rapid Elasticity. Cloud computing refers to the different computer system resources that are always available to a client when needed from any remote location, usually in regards to data storage and computing. It also helps to get scalable services and an extra space in the cloud. Scalability is used to meet the static increase in the workload. g. It also discusses major issues and research challenges related. Example Let's take an instance of a company whose database is small at first. Most people, when thinking of cloud computing, think of the ease with which they can procure resources when needed. 3. Cloud computing is to successful why from its. Cloud Computing Overview Having a common definition helps with managing the cloud Deployment Models Private cloud (internal) Hybrid Cloud Community Cloud Service Models Software-as-a-Service Platform-as-a-Service Infrastructure-as-a-Service “Resource pooling” “Measured “Rapid elasticity” Service” “Broad network access”Cloud computing provides rapid access to shared pools of resources, such as: compute, storage, networks, applications, services, or libraries using an on-demand, utility-based model. Cloud systems also provide infrastructure for businesses to develop and deploy enterprise software and services. Rapid elasticity c. resource usage can be monitored controlled and reported this is transparent to the user and provider to see the performance and services provided. 5 Ubiquitous Access. Unlike traditional scaling methods, rapid elasticity enables seamless and automatic adjustments to resource allocation, catering precisely to real-time needs. 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. Also, as more and more people start using such SaaS services as service providers. For example, a Cloud Consumer is an individual or organization that acquires and uses cloud products and services. See examples of innovation from successful companies of all sizes and from all industries. Scenario: During popular shows or releases,. 1. First, "broad network access. Each correct answer represents a complete solution. PART – A (2 Marks) 1. 1. Cloud computing customers do not own the physical engineering; they miet the usage coming a third-party provider. Oracle Cloud Platform. Brian Curtis. Cloud computing is attractive to business owners as it eliminates the requirement for users to plan ahead for. 7. Scalability refers to how well your application scales up when additional capacity for services is needed. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. This week the focus is on the fifth and final fundamental characteristic of cloud computing according to the NIST ’s definition: Measured Service. While the advantages of cloud computing is: (1) without any. For example, Armbrust et al. Scalability is one of the hallmarks of the cloud and the primary driver of its exploding popularity with businesses. individuals have key roles in the realm of cloud computing. Rapid Elasticity in Cloud 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 ). 1 On-demand self-service On-demand self-service allows customers to use cloud computing as required without human contact between consumers and service. Metrology is the use of technology and other means to achieve unity and accurate and reliable measurement. Elasticity. Answer: [pic] True. Leveraging it enables organizations to develop and deploy applications faster, without needing to invest in hardware upfront. The resource type and its consumption will check and decide the system’s efficiency for running the application. The difference is usually in needs and conditions under which this happens. Rapid elasticity. Cloud Elasticity can also refer to the ability to grow or shrink the resources used by a cloud-based application. Rapid elasticity B. Cloud computing is perhaps the most well-established, which emerged from the requirement of harnessing “computing as a utility”, enabling the rapid growth of new internet services []. Administrative Scalability: works with the increasing number of customers using a given computing system. Rapid Elasticity. In conclusion, to the question of Cloud First or Cloud Smart – this question underlines the misconception of the cloud as a place. This cloud feature facilitates the cost-effective operation of workloads that need many servers but are only required for a short period, such as database servers. 1,399 explanations. Rapid Elasticity. Here tenants or clients can avail scalable services from the service providers. FaaS. Elastic computing is a subset of cloud computing that involves dynamically operating the cloud server. Data: Information. Data storage capacity, processing power and networking can all be scaled using existing cloud. Rapid elasticity: It indicates provision of resources on demand. Broad network access. For example, Ankr is about half the cost of Amazon Web Services (AWS) for the same computing power. Q2. It means a cloud service can automatically change its resources, like computing power, storage, and bandwidth, to meet user needs. C)Resource pooling. Learn vocabulary, terms, and. since ,its inception With its services delivery model, cloud computing add technical and strategic business value to companies. Answer:- c. Cloud computing customers do not own the physical infrastructure; they rent the usage from a third-party provider. Businesses may scale up their infrastructure at any moment without suffering any downtime because of elasticity. Most people, when thinking of cloud computing, think of the ease with which they can procure resources when needed. Rapid Elasticity Juga Merupakan Karakteristik Wajib. This article reviews both classical and recent elasticity solutions and provides an overview of containerization, a new technological trend in lightweight virtualization. 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. D. Measured service d. Public Cloud Definition, Scalability, and Rapid Elasticity. Elasticity: Cloud computing resources can be quickly provisioned or de-provisioned in response to changes in demand. An application needs a specific environment to run, including computing power, virtual machines (VMs), and storage space. g. Elasticity in cloud computing allows you to scale computer processing, memory, and storage capacity to meet changing demands. For example, improved knowledge about the cloud services does not provide SMEs with. On-demand cloud computing is you spin up a cloud resource when YOU want to. For example, researchers or decision makers may want to make changes. Three Service Models – Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), and infrastructure-as-a-Service (Iaas). We’re probably going to get higher seasonal demand at Christmas time. 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. A cloud that offered by cloud providers as opposed to an internal cloud created by a company . According to NIST definition of cloud computing, it has five characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service, while mobile computing focuses on device mobility and context awareness considering networking and mobile. The service is typically provided over the Internet. It is highly secure and offers great flexibility with APIs. Automated Resource Allocation. On-demand self-service. In the National Institute of Standards and Technology (NIST) formal definition of cloud computing, rapid elasticity is cited as an essential element of any cloud. Let’s talk about the differences between scalability and elasticity. The cloud service provider facilitates cloud computing to increase the capacity or add capability, for example without investing in a new infrastructure, training new people or licensing new software. Conclusion of Cloud Elasticity in Cloud Scalability. Examples are iCloud, Google Drive, Dropbox, etc. • Rapid elasticity. Cloud Computing and the Essential characteristics of cloud services are On-demand self- service, Broad network access, Resource pooling, rapid elasticity. cloud computing, Regarding the IT infrastructure ecosystem, Microsoft Windows, Unix, and Mac OS X are examples of ________. Google Cloud Platform. 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. . For example, chatbots, such as siri, Alexa and google assistant, all are cloud-based natural-language intelligent bots. Rapid elasticity: Rapid elasticity deals with the ability to expand or decrease the capacity of cloud resources as necessary. Elasticity Example. elasticity? Cloud scalability is the ability of a cloud computing system to handle increased workloads by adding more resources. Consumers benefit from rapid elasticity because they can expand or reduce their resources how and when they would like. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access. DISTRIBUTED COMPUTING 1 Securing Elasticity in the Cloud Elastic computing has great potential, but many security challenges remain. Another example of cloud computing in action is the use of IaaS clouds for web hosting and application development. Resource pooling is a technical term that is commonly used in cloud computing. Cisco Discussion, Exam 200-301 topic 1 question 1025 discussion. Resource pooling. The move to the cloud has resulted in a slew of new business-friendly. †Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e. 1. country, state, or datacenter). On-demand self-service: A consumer can unilaterally provision computing capabilities, such as server. 5. 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. It is why it is known as SaaS or Software as a Service controlled in a centralized manner. Cloud computing is so successful because of its. It is why it is known as SaaS or Software as a Service controlled in a centralized manner. 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. Rapid Elasticity is one of the essential characteristics of cloud computing, and it refers to the ability of a cloud system to dynamically scale resources up or down based on the demand. 4 Rapid Elasticity. Cloud computing resources are monitored and metered,. How elasticity affects cloud spend. The Hadoop platform Cloudera utilizes the AWS cloud. Cloud scalability vs Cloud elasticity. A well-known example is adding a load balancer in front of a farm of. 1. Real-world Examples of Cloud Computing Success. cloud computing characteristic allows users to obtain additional resources, storage, and compute power as their need or workload requires. To explain elasticity in the cloud, let’s look at the example of storing and running an application in the cloud. Match. " Elastic computing is critical to cost reductions and time to market (TTM). Resource pooling. Conversely, when demand is high, you can rapidly scale up to accommodate needs without overloading your systems. Rapid elasticity. Cloud services exhibit fiv e essential characteristics that With rapid elasticity, you won’t need to buy computer hardware. Rapid elasticity. Uses of Rapid Elasticity in Cloud Computing. Rapid elasticity: Cloud computing provides elastic and fast computing capacity that facilitates instant scaling out and quick release too fast scaling in. Customers access these resources on the Internet using a pay-as-per use model. The NIST deployment models [15], that include Private, Public, Community and. This is one of the best cloud characteristics. 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. Explanation: Answer options E, D, C, and B are correct. Unlike traditional scaling methods, rapid elasticity enables seamless and automatic adjustments to resource allocation, catering precisely to real-time needs. A simple example architecture is provided below. The shift to cloud computing amplified by COVID-19 and remote work has meant a whole host of benefits for companies: lower IT costs, increased efficiency and reliable security. The NIST Cloud Computing Program (NCCP) created a series of public working groups on cloud computing to generate input for the SP 500-293 . On-demand self service. (from What is Rapid Elasticity? -. Abstract. Third-party services may be offered as part of some cloud services, but they are not a fundamental aspect of cloud computing. Rapid Elasticity: The services can be provided rapidly and elastically, in some cases also automatically. These examples showcase how rapid elasticity, facilitated by leading cloud providers, empowers organizations to meet fluctuating workloads efficiently,. Cloud Elasticity can refer to ‘cloud bursting’ from on-premises infrastructure into the public cloud for. An application needs a specific environment to run, including computing power, virtual machines (VMs), and storage space. Conclusion. 1. Cloud Computing. Measured Service. Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e. Abstract. Cloud computing allows users to access applications and data remotely, from any location at any time and from any online device, such as a laptop or mobile phone. Sensor-cloud originates from extensive recent applications of wireless sensor networks and cloud computing. A private cloud is a cloud computing environment used only by a single organization, which can take two different forms—organizations build their own private clouds in their own data centers, or use a hosted private cloud service. See full list on javatpoint. g. Resource pooling. Cloud services have a lot to know about. On-Demand Self Service. Able to scale outward and inward according to demand. Communication. . Otherwise, one would be able to use the cloud service only from a limited set of platforms. Cloud computing's capacity to rapidly grow and shrink is a significant benefit and characteristic. Scalability And Rapid Elasticity. Elastic resources are critical to reducing costs and decreasing time to market (TTM). For example, you can free up your IT staff to focus on core business functionality rather than scalability. C. Which of the following fall(s) under the “essential characteristics” of cloud computing? a. measured service. Based on demand, the cloud. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. 1 On-demand service. Share. This cloud. For example, the owner of the data is. Public Cloud - A public cloud can be accessed by any subscriber with an internet connection and access to the cloud space. Rapid Elasticity. Rapid elasticity in cloud computing uses increased automation in your IT environment, which has many benefits. Cloud Elasticity enables organizations to rapidly scale capacity up or down, either automatically or manually. It is more cost effective to pay for resources used rather than having to pay for resources capable of meeting peak demand. Cloud Computing: Provides hosted services via the internet that lets users store, manage,and process data. rapid elasticity, followed by broad network access, resource pooling, on-demand self-service and measured service at least. Although many works in literature have surveyed cloud computing and its features, there is a lack of a detailed.