On-demand self-service. 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. This is a key benefit of cloud computing that ensures that applications always have the right amount of resources. Cloud elasticity and scalability optimize the infrastructure and ensure that the organizations keep up to the compliance levels. Software-as-a-Service (SaaS) solutions are growing in. The answer is scalability and elasticity – two essential aspects of cloud computing that greatly benefit businesses. On-demand self-service. Elasticity is automatic and reactive to external stimuli and conditions. A public cloud is an information technology approach in which on-demand computing resources and infrastructure are maintained by a third-party provider and shared with. Rapid elasticity c. Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e. a) Virtualization assigns a logical name for a physical resource and then provides a pointer to that physical resource when a request is made. In a. 2. 1. Resources are automatically provisioned behind the scenes, without the end user even. The challenges of elastic security in cloud computing are due to the distinctness of managing resources. . What is Cloud Elasticity? Cloud elasticity in cloud computing is the ability to rapidly and dynamically allocate cloud resources, including compute, storage, and memory resources, in response to changing demands. In the cloud, you want to do this automatically. While the advantages of cloud computing is: (1) without any. Data storage capacity, processing power and networking can all be scaled using existing cloud. The figure illustrates the related elements that come together to create clouds. Another example of cloud computing in action is the use of IaaS clouds for web hosting and application development. 1. 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. Cloud computing customers achieve not proprietary the physical infrastructure; they rent the usage from a third-party provider. Being a cloud computing provider doesn’t mean just supplementing IT resources, it means providing strategic, core information technology. g. Get a hint. 3. 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. 4 Rapid Elasticity. An administrator connects to the companys cloud account and builds a server that is hosted in the cloud. Pay only for what you use. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. It is a popular cloud platform that provides a document aided database, cloud computing, and elastic database. 4. A cloud can be private or public. 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. Cloud Elasticity enables organizations to rapidly scale capacity up or down, either automatically or manually. It allows customers to outsource their IT infrastructures such as servers, networking, processing, storage, virtual machines, and other resources. From the user’s point of view, the resources thus seem to be infinite. Unlike traditional scaling methods, rapid elasticity enables seamless and automatic adjustments to resource allocation, catering precisely to real-time needs. show more content…. Choose all that apply. Even though tremendous efforts are invested to enable cloudAbstract. Rapid Elasticity. C. Examples of IaaS providers include Amazon EC2 [20],. Otherwise, one would be able to use the cloud service only from a limited set of platforms. You need cloud availability to ensure that customers can access your cloud services whenever they need to and from anywhere in the world. Elasticity allows an organization to scale a cloud-based service up. The ability to dynamically scale services being provided in direct response to the need of customers for space and other services. Rapid Elasticity. Cloud computing is now a well-consolidated paradigm for on-demand services provisioning on a pay-as-you-go model. Rapid Elasticity is one of the critical features of Cloud Computing. AWS Elastic Compute Cloud (EC2) is an example of an IaaS cloud platform that. Measured Service. Resource pooling E. Rapid elasticity. Mobile cloud computing is usually. Cloud computing customers do not own the physical engineering; they miet the usage coming a third-party provider. 8. measured service. Businesses may scale up their infrastructure at any moment without suffering any downtime because of elasticity. For example, you can free up your IT staff to focus on core business functionality rather than scalability. What is Cloud Computing: Examples, History, Basics. The ability to dynamically scale services being provided in direct response to the need of customers for space and other services. Instead of organizations having to make major investments to buy equipment, train staff, and provide ongoing maintenance, some or all of these needs are handled by a cloud service provider. Click again to see term 👆. Each characteristic may be used once, more than once, or not at all. These services enable you to create, edit, and share documents with others over the internet. 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. Examining the found elasticity definitions, the differencesCloud scalability in cloud computing refers to increasing or decreasing IT resources as needed to meet changing demand. Rapid elasticity B. Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e. With the term “fine grain”, they point to the granularity of one server at a time; however, they. It is a popular cloud platform that provides a document aided database, cloud computing, and elastic database. Consumers benefit from rapid elasticity because they can expand or reduce their resources how and when they would like. It differs from single-tenancy, in which a server runs a single instance of the operating system and application. This cloud model includes the five essential characteristics of cloud computing: On-demand self-service. Rapid elasticity (1) Let's step through these of these concepts individually. g. For example, if the user needs to access more computing power, they can quickly and easily add more computing resources as. Rapid elasticity. The ability to dynamically scale services being provided in direct response to the need of customers for space and other services. Cloud Elasticity can refer to ‘cloudbursting’ from on-premises infrastructure into the public cloud for example to meet a sudden or seasonal demand. Broad network access plays a vital role in facilitating connectivity, resource accessibility, and mobility within the cloud computing landscape. Private Cloud - A private cloud is established for a specific group or organization and limits access to just that group. In a cloud computing environment, which type of service would include the configuration of virtual gateways, virtual private networks, virtual servers, and virtual switches?. Explanation: Answer options E, D, C, and B are correct. This. Here cloud platform offers many benefits to users cloud-based data storage, transfer of application and management storage. For marketing purposes, the term elastic-ity is heavily used in cloud providers’ advertisements and even in the naming of specific products or services. g. Data storage capacity, processing power and networking can all be scaled using existing cloud. Customers access these resources on the Internet using a pay-as-per use model. Yang mana Scalability disini merupakanthe context of cloud computing and is commonly con-sidered as one of the central attributes of the cloud paradigm [10]. C)Resource pooling. Measured ServiceThere has been a lack of consensus in extant literature in terms of how cloud computing should be defined. A. The service is typically provided over the Internet. " Elastic computing is critical to cost reductions and time to market (TTM). This cloud model is composed of five essential characteristics: On-demand self-service. It is the third-largest cloud platform that powers Machine Intellect, Google. 2 Resource pooling or Multitenancy. Able to scale outward and inward according to demand. In other words, cloud scalability is. Measured service is a term that IT professionals apply to cloud computing. See figure 3. Cost-effective. This article reviews both classical and recent elasticity solutions. Rapid elasticity. Right-sized infrastructure is also something that these two bring along. This could include growing the capacity of a cloud-based system's central processing unit (CPU), for instance, or its storage resources or memory. Measured Service. They are all characteristics of cloud computing: Elasticity should not be confused with efficiency or scalability. Explanation: Answer options E, D, C, and B are correct. D. 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. (from What is Rapid Elasticity? -. Fewer in-house servers reduce power costs in the business' data center. The move to the cloud has resulted in a slew of new business-friendly. The examples of cloud computing are everywhere from the messaging apps to audio and video streaming services. Google Cloud Platform. , country, state, or datacenter). Cloud computing pools a provider's computing resources to serve multiple customers using a multi-tenant model, with different physical and virtual resources assigned and reassigned according to customer demand. On-demand self service. This, again, is potentially confusing since the term elasticity has been listed as an essential characteristic of cloud computing from the beginning 6,9,24,34 with, for example, the NIST Definition of Cloud Computing 34 speaking of rapid elasticity defined as "capabilities [that] can be elastically provisioned and released, in some cases. Cloud computing resources are monitored and metered,. • Rapid elasticity. These services and their delivery are at the core of cloud. D. False. 2 Resource pooling or Multitenancy. Rapid Elasticity. However,. Cloud computing customers do not own the physical engineering; they miet the usage coming a third-party provider. 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 . Grade: A. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort. Let’s talk about the differences between scalability and elasticity. Nov 8, 2018. 7. As the name suggests, elastic compute services offer a cloud service provider the ability to scale up and down the computing resources like memory, bandwidth, infrastructure, etc. 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. Scalability provides the ability to increase the workload capacity within a preset framework (hardware, software, etc. Elasticity in cloud computing allows you to scale computer processing, memory, and storage capacity to meet changing demands. For example, it’s very common to track how many virtual. This cloud model promotes availability and is composed of five essential characteristics (On. Most people, when thinking of cloud computing, think of the ease with which they can procure resources when needed. 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. 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. Netflix: Handling Peak Streaming Demand. 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. Leveraging it enables organizations to develop and deploy applications faster, without needing to invest in hardware upfront. 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 elasticity process should proceed quickly, almost instantly. Rapid Elasticity. Essential characteristic of cloud computing. How elasticity affects cloud spend. Rapid Elasticity Juga Merupakan Karakteristik Wajib. - Rapid elasticity or cloud elasticity is used in cloud computing to get scalable provisioning. Rapid elasticity. The essential characteristics of cloud computing include rapid elasticity and limited network access. Elasticity allows for systems to dynamically add or remove resources to meet changing demand. 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. Cloud computing provides rapid elasticity, which refers to its ability to scale quickly to meet demand. Clouds Computing or the Necessary characteristics of cloud services belong On-demand self- service, Broad network zugangs, Resource pooling, rapid elasticity. Elastic computing is the ability of a cloud service provider to swiftly scale the usage of resources such as storage, infrastructure, computer processing, CPU memory,. Rapid elasticity in cloud computing refers to the cloud’s capability to scale quickly to meet demand. 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. AWS, Microsoft Azure, Google Cloud and other public cloud platforms make resources available to users at the click of a button or API call. 3. Public Cloud - A public cloud can be accessed by any subscriber with an internet connection and access to the cloud space. Resource pooling. Another essential characteristic of cloud computing is its elasticity and scalability, which are key components of its services. (resource pooling), (4) elastic (rapid elasticity), and (5) measured service (measured service). Elasticity. 1. Dijiang Huang, Huijun Wu, in Mobile Cloud Computing, 2018. We would like to show you a description here but the site won’t allow us. Rapid Elasticity. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction “. Metrology is the use of technology and other means to achieve unity and accurate and reliable measurement. For example, a cloud provider might offer a third party service that provides users with access to a software application. Scalability is one of the hallmarks of the cloud and the primary driver of its exploding popularity with businesses. Rapid Elasticity. Abstract and Figures. Scalability refers to the ability of a cloud to cope with increased. The way it works is we can monitor the load on the server’s CPU, memory and bandwidth etc. A New Model for IT Infrastructure. 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. Cloud Computing. What aspect of cloud computing has worked to your advantage? a. 3 Measured Service. Data backup with elasticity-enabled Cloud imparts flexibility and supports continual disaster recovery. since ,its inception With its services delivery model, cloud computing add technical and strategic business value to companies. Rapid Elasticity. 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. Cloud computing is a promising technology that is expected to transform the healthcare industry. How is rapid Elasticity implemented in cloud computing? Rapid elasticity: the capabilities of the cloud should appear unlimited to the user. This article reviews both classical and recent elasticity solutions. Cloud computing, or the cloud, is the access of information through the internet from a third. Cloud Computing. Company administrations saw that the different requests for funding and de-allocation could affect the system. 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. What we're referring to here is the ability for cloud tenants to provision or deprovision cloud. The National Institute of Standards and Technology(NIST) recognizes cloud computing as an evolving paradigm, but has issued working definitions. Elasticity is best defined as a cloud computing service's ability to dynamically adapt to meet an organization's changing demands. The provider administers the data stored in real-time without conflicting with the client’s need for data. The resources will differ depending upon the. Unlike elasticity, which is more of makeshift resource allocation – cloud scalability is a part of infrastructure design. B. To user the capabilities available for provisioning can appear unlimited and can be got at anytime. Gravity. Rapid provisioning and de. 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. Scalability is one of the hallmarks of the cloud and the primary driver of its exploding popularity with businesses. Resource pooling. Scalability and Rapid Extensibility. The goal of cloud elasticity is to avoid either over-provisioning or under-provisioning a particular service or application. PaaS helps developers build customized applications via an application programming interface that can be delivered. This allows cloud resources, including computing, storage and memory resources, to quickly be reallocated as demands change. g. Cloud deployment. Underneath I portray the three types of versatility as I see them, depicting what makes them not quite the same as one another. Cloud Rapid Elasticity Example 2. Q2. Examples of. Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to. Cloud elasticity is the automatic provisioning and deprovisioning of resources from a data center when demand from a customer increases or decreases. What is cloud scalability vs. PLAY. Broad network access. Elasticity, on the other hand, is the ability of a system to adjust its resources in response to changing workloads dynamically. Measured Service c. Capacity of the cloud enables business to store information about user. The ability to acquire resources as you need them and release resources when you no longer need them. 2. 3. A cloud provider must ensure that it provides its customers with broad network access capabilities. Cloud services exhibit fiv e essential characteristics that With rapid elasticity, you won’t need to buy computer hardware. It is highly secure and offers great flexibility with APIs. Wats app is also a cloud-based infrastructure as it comes in communication it is also one of the examples of cloud computing. Conversely, when demand is high, you can rapidly scale up to accommodate needs without overloading your systems. 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). Underneath I portray the three types of versatility as I see them, depicting what makes them not quite the same as one another. Scalability And Rapid Elasticity. elasticity? Cloud scalability is the ability of a cloud computing system to handle increased workloads by adding more resources. This is the ability to handle spikes in usage at least semi-automatically. cloud computing has five main characteristics: resource pooling, broad network access, rapid elasticity, on. FaaS. Cloud is a model of computing where servers, networks, storage, development tools, and even applications (apps) are enabled through the internet. A simple example architecture is provided below. Cloud computing provides a way to store and access data from anywhere by connecting applications using the Internet. At moment , the website is unpopular and a. Scalability refers to how well your application scales up when additional capacity for services is needed. Cloud servers are easy to maintain with low to almost. “Google Slide” is an example of a. This gives their customers the perception of unlimited capacity. Projects, workflows, and processes are elastically allocated cloud resources. 3. We’re probably going to get higher seasonal demand at Christmas time. Experts point to this kind of scalable model as one of five fundamental aspects of cloud computing. Public clouds are operated and owned by third-party providers. The ability to deliver to customers only on request is not sufficient. Elastic resources are critical to reducing costs and decreasing time to market (TTM). a. Rapid elasticity: Cloud comp uting resources can be rapidly scaled up or down to mee t . In distributed system and system resource, elasticity is defined as "the degree to which a system is able to adapt to workload changes by provisioning and de-provisioning resources in an autonomic manner, such that at each point in time the available resources match the current demand as closely as possible". This cloud model promotes. Answer B is correct: Rapid elasticity in cloud computing refers to the cloud’s capability to scale quickly to meet demand. ) Resource pooling. Elasticity is automatic scalability in response to external conditions and situations. 6 Resiliency. With elastic scaling, resources are dynamically allocated based on demand. Scalability is one of the prominent features of cloud computing. enterprise computing D. 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. 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. Cloud computing is to successful why from its. Resources are automatically provisioned behind the scenes, without the end user even. On-demand self service refers to the service provided by cloud computing vendors that enables the provision of cloud resources on demand whenever they are required. Scalability is one of the hallmarks of the cloud and the primary driver of its explosive popularity with businesses. Also, as more and more people start using such SaaS services as service providers. country, state, or datacenter). 6 Resiliency. b. Manual versatility starts with determining the normal responsibility on a bunch or homestead of assets, then. Rapid Elasticity: In the digital realm, flexibility is not just a virtue; it’s a necessity. Dalam bahasa Indonesia, rapid elasticity memiliki arti elastisitas cepat. Elasticity: Cloud computing resources can be quickly provisioned or de-provisioned in response to changes in demand. Elasticity is a fundamental property in cloud computing that has recently witnessed major developments. To understand multitenancy, think of how banking works. Cloud computing is so successful because of its simplicity in its usage. demand self-service, broad network access, resource pooling, rapid elasticity and measured service. Five Essential Characteristics – On-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. 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. Measured Service. The popularity of cloud computing is climbing, and organizations are adopting cloud technology at an overwhelming rate. Elasticity, one of the major benefits required for this. True or false: Resource pooling is the same as mulit-tenancy. Choose all that apply. Cloud computing have high interest from companies . virtualization and the cloud. With rapid elasticity, you won’t need to buy computer hardware. On-demand b. This is one of the five fundamental aspects of cloud computing. In this section, we give you the basics of what you need to know. Rapid elasticity B. Elasticity is used just to meet the sudden up and down in the workload for a small period of time. client/server C. These features can be linked to the five NIST characteristics of cloud-computing, i. Three Service Models – Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), and infrastructure-as-a-Service (Iaas). Most people, when thinking of cloud computing, think of the ease with which they can procure resources when needed. The ability to scale up is not as efficient as. Computer hardware consists of technology for computer processing, data storage, input, and output, such as large mainframes, servers, midrange computers, desktop and laptop computers. Rapid elasticity. Rapid elasticity: Cloud comp uting resources can be rapidly scaled up or down to mee t . Examples of resources include storage, processing, memory, network bandwidth, and virtual machines. Most people, when thinking of cloud computing, think of the ease with which they can procure resources when needed. 4. Cloud computing resources can scale up or down rapidly and, in some cases, automatically, in response to. Hybrid Clouds: Use public and. Cloud adoption drivers, barriers, and considerations. Amazon EC2 provides scalable computing capacity in the AWS cloud. 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. 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. Click the card to flip 👆. A key feature and advantage of cloud computing is its rapid scalability. Data storage capacity, processing power and networking can all be scaled using existing cloud. Rapid elasticity and scalability should be regarded as the landmark signature characteristics of cloud computing. Answer:- a,b,c. Cloud Elasticity can also refer to the ability to grow or shrink the resources used by a cloud-based application. 1 On-demand self-service On-demand self-service allows customers to use cloud computing as required without human contact between consumers and service. Cloud computing is a generic buzzword that generally refers to computing services offered on-demand from shared infrastructure somewhere on the Internet. Security Concerns Associated with Rapid Elasticity. 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. Lesson 06: is Rapid Elasticity? - Lesson 05To learn more about "A Practical. Test. Rapid elasticity. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. Thus, in most of the. 3. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. But as days pass,their company grows, and hence the length of their database also. cloud computing characteristic allows users to obtain additional resources, storage, and compute power as their need or workload requires. Some popular examples of fog computing include . And in the cloud, resource pooling is a multi-tenant process that depends on user demand. Cloud scalability has many examples. Cloud Computing and the Essential characteristics of cloud services are On-demand self- service, Broad network access, Resource pooling, rapid elasticity. Rapid Elasticity: Scaling up or down resources becomes effortless, ensuring organizations can promptly meet fluctuating demands. Public Cloud. One example of a challenge faced in achieving elasticity in cloud computing is resource allocation and management. Rapid Elasticity d. . The Pros of Cloud Elasticity. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. Rapid elasticity D. †Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e. Capabilities can be elastically provisioned and released, in some cases automatically, to scale. They’re. Cloud computing is economical. It defines Cloud Computing as “ a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e. What we're referring to here is the ability for cloud tenants to provision or deprovision cloud resources. Manual versatility starts with determining the normal responsibility on a bunch or homestead of assets, then. resource usage can be monitored controlled and reported this is transparent to the user and provider to see the performance and services provided. C)Compliance. This is only one aspect to elasticity. DISTRIBUTED COMPUTING 1 Securing Elasticity in the Cloud Elastic computing has great potential, but many security challenges remain. 1. To provide scalability the framework’s capacity is designed with some extra room to handle any surges in demand that might occur. This is a service that provides on-demand resources such as server instances, data storage, databases, or applications. Resource pooling. B. Cloud computing is now a well-consolidated paradigm for on-demand services provisioning on a pay-as-you-go model. B)Encryption. Cloud scalability in cloud computing refers to the ability to increase or decrease IT resources as needed to meet changing demand. Types & Examples; Cloud Computing Model: Characteristics & Descriptions; Cloud Service. In conclusion, to the question of Cloud First or Cloud Smart – this question underlines the misconception of the cloud as a place. For most industry observers, the cloud era began when Amazon Web Services offered their first service to the public on March 13, 2006. Measured service. Scalability will prevent you from having to worry about capacity planning and peak engineering. 7. 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. Conclusion of Cloud Elasticity in Cloud Scalability. Also, as more and more people start using such SaaS services as service providers. mainframe B. It is why it is known as SaaS or Software as a Service controlled in a centralized manner. For example, elastic scaling can be opened as a free service for users. Cloud Scalability vs. However,. Measured service. C.