See figure 3. This is only one aspect to elasticity. The NIST deployment models [15], that include Private, Public, Community and. For example, if the user needs to access more computing power, they can quickly and easily add more computing resources as. Rapid Elasticity is one of the critical features of Cloud Computing. Cloud computing is a general term for anything that involves delivering hosted services over the internet. Rapid elasticity in cloud computing uses increased automation in your IT environment, which has many benefits. 4. The difference is usually in needs and conditions under which this happens. 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. This cloud model promotes. Another example of cloud computing is online document storage and collaboration services like Google Docs or Microsoft Office 365. A. Scalability is the ability to add or remove capacity, mostly processing, memory, or both, from an IT environment. Rapid Elasticity is the. Rapid elasticity. Cloud computing is becoming popular worldwide as it offers innumerable. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e. The service is typically provided over the Internet. NIST Cloud Computing Technology Roadmap, Volume I and II [1]. D. DISTRIBUTED COMPUTING 1 Securing Elasticity in the Cloud Elastic computing has great potential, but many security challenges remain. Businesses may scale up their infrastructure at any moment without suffering any downtime because of elasticity. com. For example, you can free up your IT staff to focus on core business functionality rather than scalability. Cloud computing resources are monitored and metered,. Cloud scalability vs Cloud elasticity. Cloud computing is attractive to business owners as it eliminates. It means a cloud service can automatically change its resources, like computing power, storage, and bandwidth, to meet user needs. 1. One of the most common examples of cloud computing is Apple's iCloud. Rapid elasticity is a cloud computing term for scalable provisioning, or the ability to provide scalable services. Cloud Elasticity can refer to ‘cloudbursting’ from on-premises infrastructure into the public cloud for example to meet a sudden or seasonal demand. This is only one aspect to elasticity. Let’s say that we’re an eCommerce store. 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. What we're referring to here is the ability for cloud tenants to provision or deprovision cloud resources. Explanation: Answer options E, D, C, and B are correct. Cloud computing provides a sense of location independence. This means that businesses can scale their resources up and down efficiently according to their needs. See examples of innovation from successful companies of all sizes and from all industries. Able to scale outward and inward according to demand. Economical. a. 1. The main benefits of agility in cloud computing are as follows: 1. cloud computing has five main characteristics: resource pooling, broad network access, rapid elasticity, on. Microsoft. Resource pooling. demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort. Rapid elasticity. One of the great things about cloud computing is the ability to quickly provision resources in the cloud as manufacturing organizations need them. Resource pooling. Being able to rapidly decommission virtual servers when requested B. 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. Rapid Elasticity: Cloud computing resources can be scaled up or down quickly and easily in response to changing demands. Cloud providers also offer rapid elasticity—the ability to add more servers as needed without having to wait until they become fully utilized before adding new ones. Rapid Elasticity . Cloud computing is economical. Being a cloud computing provider doesn’t mean just supplementing IT resources, it means providing strategic, core information technology. CS8791 CLOUD COMPUTING UNIT 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. Benefits of Cloud Computing. Here are some of the essential examples of how. For example, BigML is a machine learning platform built on the cloud that enables the creation of predictions for online big data. 4 Rapid Elasticity. A. The age of automation has arrived, allowing businesses to automate more of their processes. Cloud services have a lot to know about. Software-as-a-Service (SaaS) solutions are growing in. It also helps to get scalable services and an extra space in the cloud. Cloud computing is attractive to business owners as it eliminates the requirement for users to plan ahead for. Cloud Elasticity enables organizations to rapidly scale capacity up or down, either automatically or manually. Users can launch virtual servers, configure security and networking, and manage cookies from an intuitive dashboard. Cloud computing is so successful because of its. Which cloud computing characteristic is synonymous with pay-as-you-go? A)Broad access. 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. Conclusion of Cloud Elasticity in Cloud Scalability. All the messages and information are stored in service providers hardware. The network serves as the linkage between the end users consuming cloud services and the provider’s data centers providing the cloud services. Cloud computing customers do not own the physical infrastructure; they rent the usage from a third-party provider. They are all characteristics of cloud computing:Rapid Elasticity in Cloud Computing is the magic wand that empowers businesses to scale their resources dynamically as demands fluctuate. Which term best aligns with the purpose of a hybrid cloud? A)Hashing. Real-world Examples of Cloud Computing Success. These capabilities should be elastically scalable both outward and inward in accordance with demand, whatever the quantity of resources required, and at any time. It allows customers to outsource their IT infrastructures such as servers, networking, processing, storage, virtual machines, and other resources. Rapid Elasticity: Cloud computing resources can be scaled up or down quickly and easily in response to changing demands. Examples of Rapid elasticity and scalability in a sentence. What is cloud scalability vs. This flexibility is vital in today's speedy digital world. But only eight publications directly cite NIST’s definition [4,5,18,23,24,40,52,55,63,67,75,81,83,85,100]. 9th Edition Tony Gaddis. Scalability is always used to address the increase in workload in an organization. What is Cloud Computing: Examples, History, Basics. 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. Elasticity in cloud computing allows you to scale computer processing, memory, and storage capacity to meet changing demands. From the user’s point of view, the resources thus seem to be infinite. 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. ) Measured service C. 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. It means a cloud service can automatically change its resources, like computing power, storage, and bandwidth, to meet user needs. Cloud computing is defined by five essential characteristics: resource pooling, broad network access, on-demand self-service, rapid elasticity, and a 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. Being able to limit the amount of resources used by a group of virtual servers C. Instead, can use the cloud provider's cloud computing resources. Also, as more and more people start using such SaaS services as service providers. , up and down to adapt to changing resource demands and dynamically meet workload requirements. , storage, processing. Rapid Elasticity in Cloud Computing and significants - Rapid Elasticity in Cloud Computing - Studocu. demand self-service, broad network access, resource pooling, rapid elasticity and measured service. Broad network access plays a vital role in facilitating connectivity, resource accessibility, and mobility within the cloud computing landscape. Study with Quizlet and memorize flashcards containing terms like Which of the following terms refers to a cloud computing feature that allows for automatic allocation of computing resources in proportion with the demand? Rapid elasticity Measured service On-demand self-service Resource pooling, In cloud computing, the practice of grouping. Explanation: Answer options E, D, C, and B are correct. Cloud computing is to successful why from its. Rapid elasticity Measured service On-demand self-service Resource pooling. Cloud scalability in cloud computing refers to the ability to increase or decrease IT resources as needed to meet changing demand. For example, the owner of the data is. On-demand self-service. Multitenancy can describe a hardware or software architecture in which multiple systems, applications, or data from different enterprises are hosted on the same physical hardware. Elasticity Example. resource usage can be monitored controlled and reported this is transparent to the user and provider to see the performance and services provided. Learn vocabulary, terms, and. • Four deployment models: private Clouds, community. Choose all that apply. D. If we’re using cloud computing we can automatically spin up new servers as our demand increases. 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. In cloud systems, a metering capability optimizes resource usage at a level of abstraction appropriate to the type of. Scalability is one of the hallmarks of the cloud and the primary driver of its exploding popularity with businesses. Measured Service. Big data as a service is a famous example of big data with cloud. Measured service C. Resource pooling is a technical term that is commonly used in cloud computing. 15. The cloud computing model. Which of the following fall(s) under the “essential characteristics” of cloud computing? a. What aspect of cloud computing has worked to your advantage? a. Rapid provisioning and de. The ability to scale up is not as efficient as. Customers access these resources on the Internet using a pay-as-per use model. The resource type and its consumption will check and decide the system’s efficiency for running the application. Elasticity. Rapid elasticity D. Rapid elasticity – Describes the. Example: Consider an online shopping site whose transaction workload increases during festive season like Christmas. Scalability refers to the ability of a cloud to cope with increased. Examples of resources include storage, processing, memory, and network bandwidth. For example, improved knowledge about the cloud services does not provide SMEs with. In conclusion, to the question of Cloud First or Cloud Smart – this question underlines the misconception of the cloud as a place. Cloud systems also provide infrastructure for businesses to develop and deploy enterprise software and services. 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. customers share pooled computing resources. 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. On the bottom of the diagram is a set of resource pools. C. Rapid elasticity. and administration of patients EHRs, which could be utilized for disease treatment, research, and other applications. g. Measured Service. 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. The rapid evolution of deep learning (DL) in the artificial intelligence (AI) domain has brought many benefits that can be utilized to address industrial security issues in the cloud. These are part of the National Institute of Standards and Technology’s definition of cloud computing. 1. 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. Rapid Elasticity in Cloud Computing is the magic wand that empowers businesses to scale their resources dynamically as demands fluctuate. Public Cloud Definition, Scalability, and Rapid Elasticity. Mulai dari aplikasi hingga pusat data, semuanya melalui internet menggunakan basis pay-for-use atau bayar sesuai yang kamu pakai. A key feature and advantage of cloud computing is its rapid scalability. b) Virtual appliances are becoming a very important standard cloud computing deployment object. Data storage capacity, processing power and networking can all be scaled using existing cloud. These capabilities should be elastically scalable both outward and inward in accordance with demand, whatever the quantity of resources required, and at any time. It is why it is known as SaaS or Software as a Service controlled in a centralized manner. Another prime benefit of cloud elasticity is paying only for the computing, networking, and storage resources that you actually use, offering the opportunity to save substantial IT investment. e. For example, accessibility of a broad network, on-demand self-service, rapid elasticity, service management and. Scenario: During popular shows or releases,. Elastic computing is a part of cloud. Abstract. Private Cloud. g. Rapid elasticity You work for a small startup company that just hired five new employees, doubling its number of team members. The service is typically provided over the Internet. It provides scalable services of cloud computing to users and clients. These services are divided into three main categories or types of cloud computing: infrastructure as a service ( IaaS ), platform as a service ( PaaS) and software as a service ( SaaS ). Cloud computing has changed every business and industry. 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 Elasticity can also refer to the ability to grow or shrink the resources used by a cloud-based application. Scalability And Rapid Elasticity. for example, a company or government, and it is accessed by only authorized users within that organization. Scalability is one of the hallmarks of the cloud and the primary driver of its exploding popularity with businesses. Rapid elasticity and scalability. For example, Google app engine and Openshift. The answer is scalability and elasticity – two essential aspects of cloud computing that greatly benefit businesses. A cloud provider must ensure that it provides its customers with broad network access capabilities. g. Mobile cloud computing is usually. 1. Conclusion of Cloud Elasticity in Cloud Scalability. Elasticity allows an organization to scale a cloud-based service up. Cloud is a model of computing where servers, networks, storage, development tools, and even applications (apps) are enabled through the internet. 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. AWS, Microsoft Azure, Google Cloud and other public cloud platforms make resources available to users at the click of a button or API call. It is cheaper compared to virtualization. . Third, the decentralized cloud is more reliable. The growth and use of public cloud services is one of the most significant changes in corporate computing history. Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e. 1. For example, a Cloud Consumer is an individual or organization that acquires and uses cloud products and services. In the cloud, you want to do this automatically. Scalability is mostly manual, predictive and planned for expected conditions. Below are some of rapid elasticity in cloud computing examples: 1. D. In other words, you've connected your device to the internet to store and manage data across your Apple devices. You need reliability in cloud computing to ensure that your products and services work as expected. In other words, cloud scalability is. Conclusion. Company administrations saw that the different requests for funding and de-allocation could affect the system. In cloud systems, a metering capability optimizes resource usage at a level of abstraction appropriate to the type of service. Cloud Computing. This cloud model promotes. They’re. The National Institute of Standards and Technology (NIST) includes rapid elasticity as an essential characteristic of its definition of cloud computing: “Rapid elasticity. Rapid elasticity Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly. With elastic scaling, resources are dynamically allocated based on demand. 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. 7. Rapid elasticity goes like this. Besides promoting cost efficiency, it also facilitates resource optimization. Example Let's take an instance of a company whose database is small at first. Cloud Elasticity can also refer to the ability to grow or shrink the resources used by a cloud-based application. Oracle Cloud Platform allows you to run Oracle as well as non-Oracle applications smoothly on its servers. 8 Cloud Computing Advantages: Why People Are Flooding to the Cloud. Conversely, when demand is high, you can rapidly scale up to accommodate needs without overloading your systems. Cloud Computing: Provides hosted services via the internet that lets users store, manage,and process data. To provide scalability the framework’s capacity is designed with some extra room to handle any surges in demand that might occur. On-demand service, remote accessibility through a variety of networks, resource pooling, rapid elasticity and measured service are the key characteristics of cloud computing. Rapid elasticity. See more. enterprise computing D. Cloud computing offers Internet-based access to low cost computing and applications that are provided using virtualized resources. 1. Cloud computing is a model for enabling ubiquitous, convenient, demand network access to a shared on-. What is elastic computing or cloud elasticity? Elastic computing is the ability to quickly expand or decrease computer processing, memory, and storage resources to meet. Which of the following is the BEST example of rapid elasticity In cloud computing? A. Rapid elasticity. client/server C. On-demand b. Unlike traditional scaling methods, rapid elasticity enables seamless and automatic adjustments to resource allocation, catering precisely to real-time needs. This article reviews both classical and recent elasticity solutions and provides an overview of containerization, a new technological trend in lightweight virtualization. -. Elasticity is a key characteristic of cloud platforms enabling resource to be acquired on-demand in response to time-varying workloads. Measured ServiceThere has been a lack of consensus in extant literature in terms of how cloud computing should be defined. , Determine an example/ type of hypervisor where an administrator first installs. These features can be linked to the five NIST characteristics of cloud-computing, i. . Rapid elasticity B. Starting Out with C++ from Control Structures to Objects. The capabilities of the cloud are invaluable to any enterprise. Which of the following is NOT a driver for use of cloud computing? Use of specialized computing hardware. Four Deployment Models – Private cloud, community cloud, public. Elasticity is automatic scalability in response to external conditions and situations. Cloud Computing and of Essential characteristics of cloud products is On-demand self- service, Broad network access, Resource pooling, rapid elasticity. Five Essential Characteristics – On-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Resource pooling E. Elasticity is used just to meet the sudden up and down in the workload for a small period of time. Referring to the question the online retailer wants to migrate to public cloud services during peak season, then wants it to be removed "automatically" when the peak is over. While the advantages of cloud computing is: (1) without any. Click the card to flip 👆. Cloud Requirements. For example, you can free up your IT staff to focus on core business functionality rather than scalability. - [Instructor] Rapid elasticity is a cloud computing characteristic. 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. Rapid elasticity. Rapid elasticity and scalability. Data backup with elasticity-enabled Cloud imparts flexibility and supports continual disaster recovery. Cloud computing powered resources often undergo several updates to optimize their capabilities and potential. rapid elasticity, followed by broad network access, resource pooling, on-demand self-service and measured service at least. (e. Because XaaS stands for "anything as a service," the list of examples is endless. [] Measured service [] On-demand self-service [] Broad network access [] Rapid elasticity. Unlike traditional scaling methods, rapid elasticity enables seamless and automatic adjustments to resource allocation, catering precisely to real-time needs. country, state, or datacenter). Examples of Cloud Computing. It allows the. Impact of cloud computing has been massive on different industries and businesses across domains. Rapid elasticity. ”. Capabilities can be rapidly and. Cloud elasticity is a fundamental part of modern cloud computing. 1. 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. Rapid Elasticity in Cloud Computing. Resource pooling. Resource pooling. Scalability is becoming easier with cloud computing's rapid growth. The essential characteristics of cloud computing include rapid elasticity and limited network access. Cloud computing is a model for enabling convenient, on-demand network access to a shared. Rapid elasticity: Computing services should have IT resources that can scale out and in on a need-to-know basis. " Access to resources in the cloud is available over multiple. To give you an example, let’s talk about Azure. Cloud computing's capacity to rapidly grow and shrink is a significant benefit and characteristic. Unlike traditional scaling methods, rapid elasticity enables seamless and automatic adjustments to resource allocation, catering precisely to real-time needs. Most people, when thinking of cloud computing, think of the ease with which they can procure resources when needed. Rapid Elasticity. But at the scale required for even a "smaller" enterprise-level organization to. Another prime benefit of cloud elasticity is paying only for the computing, networking, and storage resources that you actually use, offering the opportunity to save substantial IT investment capital formerly wasted on paying for idle resources. 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. Automated Resource Allocation. 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. Elasticity is best defined as a cloud computing service's ability to dynamically adapt to meet an organization's changing demands. 2. Customers generally have no control or knowledge of. g. This gives their customers the perception of unlimited capacity. informally, elasticity denotes the sensitivity of a depen-dent variable to changes in one or more other variables [1]. Rapid elasticity. What is rapid elasticity in cloud computing? Nov 8, 2018. The ability to dynamically scale services being provided in direct response to the need of customers for space and other services. For example, a 8*10 5 bytes of data. One example is Rapid Elasticity, which refers to the ability of cloud services to be elastically provisioned and released, typically following the demand. To draw a roadmap of the current research activities of the sensor-cloud community, we first investigate the state-of-the-art sensor-cloud literature reviews published since the late 2010s and discovered that these. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. Rapid Elasticity: The services can be provided rapidly and elastically, in some cases also automatically. Its two features, Cloud elasticity and Cloud scalability, manage to keep the resource intact. 3 Measured Service. Improve customer reliability. 5. . {"matched_rule":{"source":"/blog(([/?]. 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. Amazon EC2 provides scalable computing capacity in the AWS cloud. Karakteristik keempat, Rapid Elasticity, berarti kamu dapat menjangkau lebih banyak. This flexibility is vital in today's speedy digital world. 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. Study with Quizlet and memorize flashcards containing terms like Cloud Computing Characteristics, Multi-tenancy, Compute Services and more. By. 3. Cloud Computing and the Essential characteristics of cloud services are On-demand self- service, Broad network access, Resource pooling, rapid elasticity. Data backup with elasticity-enabled Cloud imparts flexibility and supports continual disaster recovery. Manual versatility starts with determining the normal responsibility on a bunch or homestead of assets, then. Second, the decentralized cloud is more costefficient because it leverages unused computing resources. We would like to show you a description here but the site won’t allow us. System scalability is the system’s infrastructure to scale for handling growing workload requirements while retaining a consistent performance adequately. Elasticity. Rapid elasticity Rapid elasticity is (nearly) exactly what it says on the tin. In the cloud world, a multitenant cloud architecture. Examples are iCloud, Google Drive, Dropbox, etc. Recently, cloud computing has been gaining more popularity and has received a great deal of attention from both industrial and academic worlds. The administrator is responsible for patching and updating the server OS. Rapid elasticity: Cloud computing provides elastic and fast computing capacity that facilitates instant scaling out and quick release too fast scaling in. Cloud Elasticity can refer to ‘cloud bursting’ from on-premises infrastructure into the public cloud for example to meet a sudden or seasonal demand. The move to the cloud has resulted in a slew of new business-friendly. Cloud provider licenses, installs, and supports whatever. On-demand self-service: A consumer can unilaterally provision computing capabilities, such as server. B. Examples of resources include storage, processing, memory, and network bandwidth. With that in mind, we can say that Amazon’s EC2 is not only elastic but. (e. D) Log on to icloud. 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. However, accurately predicting demands can be complex, leading to either underutilization or overprovisioning of resources. The Panel discussed the Options. For most industry observers, the cloud era began when Amazon Web Services offered their first service to the public on March 13, 2006. 4. Scalability is used to meet the static increase in the workload. Public Cloud. On demand self-services, Which of the following actions should be. Broad network access:. Elasticity, one of the major benefits required for this. For example, Garg et al [6] developed a framework that measures the. Q1. 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. 2. FaaS. Scalability and Elasticity both are essential characteristics of cloud computing & Now, it is clear that the ability of a system to scale down or scale up is fundamental, but it is entirely different from its capability to respond quickly. Rapid Elasticity. Vulnerability exists when there is a. With rapid elasticity, you won’t need to buy computer hardware. Wats app is also a cloud-based infrastructure as it comes in communication it is also one of the examples of cloud computing. Automation capability. Cloud Computing Example Five computers are labeled: Gmail Amazon EC Windows Live Mozy Facebook The computers are shown contained within a cloud outline. Each correct answer represents a complete solution. The challenges of elastic security in cloud computing are due to the distinctness of managing resources. E. 3. Functional Scalability: consists of the ability of a computing system to tackle requests and implementation of an increasing number of new functionalities. g. Rapid Elasticity: In the digital realm, flexibility is not just a virtue; it’s a necessity. An application needs a specific environment to run, including computing power, virtual machines (VMs), and storage space. 1. Rapid Elasticity. †Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e. Cloud computing is so successful because of its. 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 . “Google Slide” is an example of a. 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. Cloud computing is a model for enabling convenient, on-demand network access to a shared. But as days pass,their company grows, and hence the length of their database also.