Let us illustrate elasticity through a simple example of a service provider who wants to run a website on an IaaS cloud. The process is referred to as rapid elasticity when it happens fast or in real-time. The quicker a cloud provider can allocate varying resources to dynamic customer demands, the more elastic its cloud services are. They are all characteristics of cloud computing: Elasticity should not be confused with efficiency or scalability. 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. E. Start studying CompTIA A+ Exam 220-1001 - Cloud Computing and Network Protocols. On-demand Self Service. Security Concerns Associated with Rapid Elasticity. It means your business can increase or decrease its computing resources as needed, enabling you to avoid setbacks and unnecessary expenses. For example, the beverage company Sunny Delight was able to increase profits by about $2 million a year and cut $195,000 in staffing costs through cloud-based business insights. On-demand self service resource sourcing is a prime feature of most. Rapid elasticity. On-demand self-service. Rapid elasticity: Cloud computing provides elastic and fast computing capacity that facilitates instant scaling out and quick release too fast scaling in. Since cloud computing began, the world has witnessed an explosion of cloud-based applications and services in IT, which continue to expand. Latency. This is an attractive feature for multiple business offices and field service or sales teams that are usually outside the office. 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. Otherwise, one would be able to use the cloud service only from a limited set of platforms. Cloud computing is becoming popular worldwide as it offers innumerable. 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. Unlike traditional scaling methods, rapid elasticity enables seamless and automatic adjustments to resource allocation, catering precisely to real-time needs. The ability of the cloud to grow to satisfy user demand is an example of which essential cloud characteristic? Rapid Elasticity. 1. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access. For example, during the holiday season for black Friday spikes and special sales during this season there can be a sudden increased demand on the system. 1,399 explanations. Cloud computing have high interest from companies . With elastic scaling, resources are dynamically allocated based on demand. Cloud Elasticity can refer to ‘cloud bursting’ from on-premises infrastructure into the public cloud for. Cloud services have a lot to know about. What aspect of cloud computing has worked to your advantage? a. Physical control over data. Learn vocabulary, terms, and. Physical control over data. 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]. Cloud elasticity is a fundamental part of modern cloud computing. Rapid Elasticity. A well-known example is adding a load balancer in front of a farm of. Amazon Web Services (AWS) Amazon Web Services is a suite of cloud computing services that make a comprehensive cloud platform offered by Amazon. Rapid elasticity: Cloud comp uting resources can be rapidly scaled up or down to mee t . Cloud Computing. A remote server hosting a virtualized user OS is an example of: [] VDI. Cloud Computing Example Five computers are labeled: Gmail Amazon EC Windows Live Mozy Facebook The computers are shown contained within a cloud outline. 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. D) Log on to icloud. Grade: A. 1. Abstract and Figures. Physical control over data B. See examples of innovation from successful companies of all sizes and from all industries. Rapid Elasticity in Cloud Computing. It means a cloud service can automatically change its resources, like computing power, storage, and bandwidth, to meet user needs. Fewer in-house servers reduce power costs in the business' data center. To understand multitenancy, think of how banking works. b. Examples of. It differs from single-tenancy, in which a server runs a single instance of the operating system and application. 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 ). On Demand self service broad network access resource pooling rapid elasticity and consumption based pricing. Four Deployment Models: (1) private clouds, (2. 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. Starting Out with C++ from Control Structures to Objects. For example, Google app engine and Openshift. individuals have key roles in the realm of cloud computing. Study with Quizlet and memorize flashcards containing terms like The typical computing configuration in 1960 was ________. 1. This article reviews both classical and recent elasticity solutions and provides an overview of containerization, a new technological trend in lightweight virtualization. These services enable you to create, edit, and share documents with others over the internet. Rapid Elasticity in Cloud Computing and significants - Rapid Elasticity in Cloud Computing - Studocu. Cloud computing is a disruptive force impacting the general climate of the IT world. Rapid elasticity. There has been a significant progression of computing paradigms during recent decades. Cloud computing is composed of 5 essential characteristics, viz: On-demand Self Service. Cloud Elasticity can be triggered and executed automatically based on workload. 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. An application needs a specific environment to run, including computing power, virtual machines (VMs), and storage space. S. g. Elastic computing is a subset of cloud computing that involves dynamically operating the cloud server. Cloud computing is now a well-consolidated paradigm for on-demand services provisioning on a pay-as-you-go model. PART – A (2 Marks) 1. Measured Service. Share. Rapid Elasticity. The charges for the services tend to be quite low. Cloud Computing and the Essential characteristics of cloud services are On-demand self- service, Broad network access, Resource pooling, rapid elasticity. This is only one aspect to elasticity. Able to scale outward and inward according to demand. 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. *)?$)","target":"//. 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. It defines Cloud Computing as “ a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e. Measured service: Usage of cloud resources is metered so that businesses and other cloud users need only pay for the resources they use in. A streaming service uses elasticity to. Rapid Elasticity in cloud computing is the ability of the system to adjust its resource allocation in real-time. 4 Rapid Elasticity and Scalability:. For example, Ankr is about half the cost of Amazon Web Services (AWS) for the same computing power. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. Elasticity is a fundamental property in cloud computing that has recently witnessed major developments. 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. show more content…. Cloud Elasticity can also refer to the ability to grow or shrink the resources used by a cloud-based application. Right-sized infrastructure is also something that these two bring along. Cloud computing customers do not own the physical infrastructure; they rent the usage from a third-party provider. Elasticity, on the other hand, is the ability of a system to adjust its resources in response to changing workloads dynamically. Unlike elasticity, which is more of makeshift resource allocation – cloud scalability is a part of infrastructure design. Cloud computing is used to speed up the provisioning, de-provisioning, and deployment of IT resources by using automation, user-friendly online consoles. 1 Rapid elasticity A cloud is said to be elastic [49] if the resources it provides can be provisioned and deprovisioned dynamically and automatically. Examples of resources include storage, processing, memory, network bandwidth, and virtual machines. How elasticity affects cloud spend. Thus, elasticity is a key enabler for economies of scale in the cloud that enhances utility. ) Cloud computing D. Another example of cloud computing in action is the use of IaaS clouds for web hosting and application development. 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. Rapid elasticity. See figure 3. 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. 1. Explore these eight key characteristics of cloud computing that explain why it's the go-to destination for building and deploying modern applications. Because the cloud is elastic, you will only be given the assets needed to run that application. Data storage capacity, processing power and networking can all be scaled using existing cloud. Instead, can use the cloud provider's cloud computing resources. In the cloud, you want to do this automatically. SaaS d. 3. Rapid elasticity ; Measured service ; Broad network access is what makes the cloud available to any device from any location. customers can set up resources — for example, a virtual server or an email account. Which of the following is not an example of cloud computing?. Rapid elasticity c. 5 Ubiquitous Access. measured service. 5. Resource Pooling. Scalability is one of the hallmarks of the cloud and the primary driver of its exploding popularity with businesses. The charges for the services tend to be quite low. The key elements of cloud computing are: Elasticity: The ability to scale up or down as needed, in order to. Cloud computing is a promising technology that is expected to transform the healthcare industry. 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. For example, Armbrust et al. Examples of Cloud Computing. Real-world Examples of Cloud Computing Success. Cloud Elasticity can also refer to the ability to grow or shrink the resources used by a cloud-based application. 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. Cloud computing is the delivery of computer resources like data storage via the internet. Here are some of the essential examples of how. Elasticity. Easy Maintenance. In cloud systems, a metering capability optimizes resource usage at a level of abstraction appropriate to the type of. country, state, or datacenter). Being able to limit the amount of resources used by a group of virtual servers C. Some popular examples of fog computing include . This paper. 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. Scalability refers to how well your application scales up when additional capacity for services is needed. However, accurately predicting demands can be complex, leading to either underutilization or overprovisioning of resources. Cloud-Computing-ArchitectureCloud Computing atau biasa kita singkat dengan Cloud, adalah pengiriman on-demand computing resources. Cloud computing is becoming popular worldwide as it offers innumerable. client/server C. These features can be linked to the five NIST characteristics of cloud-computing, i. Rapid Elasticity: Cloud computing resources can be scaled up or down quickly and easily in response to changing demands. Selected Answer: B. B)Encryption. The figure illustrates the related elements that come together to create clouds. On demand self-services. Resource pooling. 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. g. This is a service that provides on-demand resources such as server instances, data storage, databases, or applications. For example, Garg et al [6] developed a framework that measures the. This allows users to quickly and cost-effectively meet changing business needs. This feature allows users to scale up or down their computing resources as needed. 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. 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. Cloud computing is now a well-consolidated paradigm for on-demand services provisioning on a pay-as-you-go model. 3. The National Institute of Standards and Technology (NIST) includes rapid elasticity as an essential characteristic of its definition of cloud computing: “Rapid elasticity. Measured Service. This flexibility is vital in today's speedy digital world. Rapid Elasticity: In the digital realm, flexibility is not just a virtue; it’s a necessity. How is rapid Elasticity implemented in cloud computing? Rapid elasticity: the capabilities of the cloud should appear unlimited to the user. , Determine an example/ type of hypervisor where an administrator first installs. With that in mind, we can say that Amazon’s EC2 is not only elastic but. The resource type and its consumption will check and decide the system’s efficiency for running the application. Rapid elasticity is a cloud computing term for scalable provisioning, or the ability to provide scalable services. Cloud systems also provide infrastructure for businesses to develop and deploy enterprise software and services. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort. Measured ServiceCharacteristics of Cloud Computing. 1 On-demand service. 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. 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. Cloud computing [4] is characterized by on-demand provi-sioning, resource pooling, rapid. C. Measured service d. The Pros of Cloud Elasticity. For example, a cloud provider might offer a third party service that provides users with access to a software application. 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). The ability to scale up is not as efficient as. 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. VDI. Four delivery models : Private cloud, community cloud, public cloud, and hybrid cloud. Because XaaS stands for "anything as a service," the list of examples is endless. One example of a challenge faced in achieving elasticity in cloud computing is resource allocation and management. For example, researchers or decision makers may want to make changes. NIST Cloud Computing Technology Roadmap, Volume I and II [1]. upvoted 2 times. Rapid Elasticity in Cloud Computing is the magic wand that empowers businesses to scale their resources dynamically as demands fluctuate. 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. It is why it is known as SaaS or Software as a Service controlled in a centralized manner. 3. Examples of IaaS providers include Amazon EC2 [20],. One example is Rapid Elasticity, which refers to the ability of cloud services to be elastically provisioned and released, typically following the demand. On-demand self-service. ) without it negatively affecting performance. Measured service C. Cloud computing customers do not own the physical engineering; they miet the usage coming a third-party provider. Elasticity, one of the major benefits required for this computing model, is the ability to. If we’re using cloud computing we can automatically spin up new servers as our demand increases. Rapid Elasticity. What we're referring to here is the ability for cloud tenants to provision or deprovision cloud. 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. ”. Users can launch virtual servers, configure security and networking, and manage cookies from an intuitive dashboard. 6 Resiliency. Multiple people can store their money in one bank, and their assets are completely separate even though they are stored in the same place. There are five main characteristics of cloud computing that make this technology easy to use and affordable. The ability to dynamically scale services being provided in direct response to the need of customers for space and other services. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e. Cloud Requirements. 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. To explain elasticity in the cloud, let’s look at the example of storing and running an application in the cloud. Most people, when thinking of cloud computing, think of the ease with which they can procure resources when needed. Which term best aligns with the purpose of a hybrid cloud? A)Hashing. By leveraging the benefits of rapid elasticity, organizations can achieve greater flexibility, agility, and cost efficiency in their operations. Rapid elasticity in cloud computing refers to the cloud’s capability to scale quickly to meet demand. 4. 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. Which of the following is the BEST example of rapid elasticity In cloud computing? A. This cloud model includes the five essential characteristics of cloud computing: On-demand self-service. Public Cloud - A public cloud can be accessed by any subscriber with an internet connection and access to the cloud space. Karakteristik cloud computing wajib selanjutnya bernama rapid elasticity. The elasticity process should proceed quickly, almost instantly. To give you an example, let’s talk about Azure. For example, if the user needs to access more computing power, they can quickly and easily add more computing resources as. It allows businesses to efficiently and effectively manage their resources. Cloud computing is defined by five essential characteristics: resource pooling, broad network access, on-demand self-service, rapid elasticity, and a measured service. Experts point to this kind of scalable model as one of five fundamental aspects of cloud computing. Resource pooling. What Does Rapid Elasticity Mean? Rapid elasticity is a cloud computing term for scalable provisioning, or the ability to provide scalable services. With the term “fine grain”, they point to the granularity of one server at a time; however, they. Economical. C. 3. Otherwise, one would be able to use the cloud service only from a limited set of platforms. Cloud elasticity is the automatic provisioning and deprovisioning of resources from a data center when demand from a customer increases or decreases. Q2. Rapid elasticity. Rapid elasticity and scalability. Thus, in most of the. 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. Fewer in-house servers reduce power costs in the business' data center. Cloud computing is a model for enabling convenient, on-demand network access to a shared. 1. Google Cloud Platform. For example, it’s very common to track how many virtual. Cloud computing delivers affordable resource pooling solutions. It is a popular cloud platform that provides a document aided database, cloud computing, and elastic database. 4. The popularity of cloud computing is climbing, and organizations are adopting cloud technology at an overwhelming rate. A. “rapid elasticity” as essential part of cloud computing [23], pointing to this close connection. In cloud computing, Elasticity refers to the ability of cloud systems to rapidly change the amount of resources allocated to a system based on its current demand. Abstract. These capabilities should be elastically scalable both outward and inward in accordance with demand, whatever the quantity of resources required, and at any time. Clouds Computing or the Necessary characteristics of cloud services belong On-demand self- service, Broad network zugangs, Resource pooling, rapid elasticity. The cloud computing model. This gives their customers the perception of unlimited capacity. 2 Resource pooling or Multitenancy. The server will be used as a confidential database server for one of the companys core applications. Resource pooling. The National Institute of Standards Technology (NIST) lists five essential characteristics of cloud computing: on-demand self-service, broad network access, resource pooling,. Rapid elasticity. Cloud service providers , such as Amazon Web Services (AWS) and Microsoft Azure, offer elastic cloud computing environments that allow users to adjust their resource. Even though tremendous efforts are invested to enable cloudAbstract. mainframe B. Examples would be storage, processing,memory, and network bandwith. Examples of resources include storage, processing, memory, network bandwidth, and virtual machines. Rapid elasticity D. These services can be adjusted to suit each client's needs without any changes being apparent to the client or end user. The growth and use of public cloud services is one of the most significant changes in corporate computing history. rapid elasticity and measured service; Three service models—Software as a. 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. B)Rapid elasticity. Answer:- a,b,c. Measured service. 1. The NIST Cloud Computing Program (NCCP) created a series of public working groups on cloud computing to generate input for the SP 500-293 . The move to the cloud has resulted in a slew of new business-friendly. Rapid elasticity. Most people, when thinking of cloud computing, think of the ease with which they can procure resources when needed. Elastic computing plays a pivotal role in managing the cloud servers in cloud computing. 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. - [Instructor] Rapid elasticity is a cloud computing characteristic. Data storage capacity, processing power and networking can all be scaled using existing cloud. Cloud Computing and of Essential characteristics of cloud products is On-demand self- service, Broad network access, Resource pooling, rapid elasticity. FaaS. How does cloud computing help scalability?12. What we're referring to here is the ability for cloud tenants to provision or deprovision cloud resources. A. There are many definition of cloud computing, but the definition provided by The National Institute of Standards and Technology (NIST) seems to cover all essential aspects of cloud computing 5,6 . Which cloud computing characteristic is synonymous with pay-as-you-go? A)Broad access. Five essential characteristics: On-demand self-service, broad network access , resource pooling, rapid elasticity, and measured service. It is one of the layers of the cloud computing platform. 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. Click again to see term 👆. g. Rapid elasticity: It indicates provision of resources on demand. Measured service:. Rapid elasticity B. Cloud computing customers do not own the physical infrastructure; they rent the usage from a third-party provider. Rapid Elasticity • Consumers can adapt to variationsin workloads and maintain required performance levels • Consumers may be able to avoid excessive costs from over-provisioning resources Module: Introduction to Cloud Computing Capabilities can be elastically provisioned and released, in some casesPay only for what you use. g. 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. Events on e-commerce websites, like sales, promotions, and the. Cloud computing is a model for enabling convenient, on-demand network access to a shared. 4. Scalability is one of the hallmarks of the cloud and the primary driver of its exploding popularity with businesses. 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. In this section, we give you the basics of what you need to know. 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. , country, state, or datacenter). Karakteristik keempat, Rapid Elasticity, berarti kamu dapat menjangkau lebih banyak. Elasticity. In other words, cloud scalability is. Examples are iCloud, Google Drive, Dropbox, etc. Resource pooling E. Capabilities can be rapidly and. Cloud computing is to successful why from its. We would like to show you a description here but the site won’t allow us. To understand multitenancy, think of how banking works. Rapid elasticity: Unlike on-premise hardware and software, cloud computing resources can be rapidly increased, decreased, or otherwise modified based. Rapid Elasticity is the. Elasticity is best defined as a cloud computing service's ability to dynamically adapt to meet an organization's changing demands. 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. Rapid elasticity. The primary purpose of rapid elasticity in cloud computing is to increase concern in experimental computing situations. Measured Service. 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 []. Besides promoting cost efficiency, it also facilitates resource optimization. Data backup with elasticity-enabled Cloud imparts flexibility and supports continual disaster recovery. This is a reference to services where the cloud provider measures or monitors the provision of services for various reasons, including billing, effective use of resources, or overall predictive planning. • Rapid elasticity. enterprise computing D. On demand self-services, Which of the following actions should be. For example, the owner of the data is. It is the third-largest cloud platform that powers Machine Intellect, Google. And still, you wish to know. Scalability is the ability to add or remove capacity, mostly processing, memory, or both, from an IT environment. 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. Elasticity is used to meet dynamic changes, where the resources need can increase or decrease. Examples of resources include storage, processing, memory, and network bandwidth. Delaying shrinking will result in idle servers, which wastes your cloud budget. A. Resources are automatically provisioned behind the scenes, without the end user even. From the user’s point of view, the resources thus seem to be infinite. 3. This is the ability to handle spikes in usage at least semi-automatically. 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. Brian Curtis. The way it works is we can monitor the load on the server’s CPU, memory and bandwidth etc. broad network access, (3) resource pooling, (4) rapid elasticity and (5) measured service. Examples of resources include storage, processing, memory, and network bandwidth. In both cases, elasticity is an intuitive concept and can be precisely described using mathematical formulas. -. Measured Service. Essential characteristic of cloud computing. com These examples showcase how rapid elasticity, facilitated by leading cloud providers, empowers organizations to meet fluctuating workloads efficiently, delivering superior user experiences while managing costs effectively. Cloud is a model of computing where servers, networks, storage, development tools, and even applications (apps) are enabled through the internet. The NIST deployment models [15], that include Private, Public, Community and. First, "broad network access. 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. One of the most common examples of cloud computing is Apple's iCloud. Measured service is a term that IT professionals apply to cloud computing. Cloud computing powered resources often undergo several updates to optimize their capabilities and potential. ) Measured service C. 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. 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. 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. Rapid Elasticity . Rapid Elasticity is one of the critical features of Cloud Computing. Private Cloud - A private cloud is established for a specific group or organization and limits access to just that group. Rapid elasticity and scalability should be regarded as the landmark signature characteristics of cloud computing. g. 2 Resource pooling or Multitenancy. In the cloud, you want to do this automatically. Explanation: Answer options E, D, C, and B are correct.