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. Sahli et al. The essential characteristics of cloud computing help define what is a cloud environment. This can be defined as the ability to adapt the system to workload changes, by autonomously provisioning and deprovisioning resources, so that at each point in time, the available resources match the current service demand as closely as possible []. Question A [120 marks] 1. Cloud Computing Elasticity – Definition The elasticity of cloud computing can be compared to using a flexible rubber band that adjusts according to the needs of your computer resources. A key feature of cloud computing is elasticity, which allows the provisioning and de-provisioning of computing resources on. 5 Elastic Computing. Rapid elasticity and scalability. Cloud Elasticity is the property of a cloud to grow or shrink capacity for CPU, memory, and storage resources to adapt to the changing demands of an organization. NIST's definition of elasticity is as follows: "Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly. Learn about benefits and more. Security Concerns Associated with Rapid Elasticity. Some of the key differences between cloud models are like the different ways people stream digital movies and television shows. Broad network access. Amazon Web Services (AWS) is a comprehensive, evolving cloud computing platform provided by Amazon. ELB automatically distributes incoming application traffic and scales resources to meet traffic demands. Data storage capacity, processing power and networking can all be scaled using existing cloud. FAQ. Although. Cloud computing [1] is the on-demand availability of computer system resources, especially data storage ( cloud storage) and computing power, without direct active management by the user. Private cloud is a type of cloud computing that delivers similar advantages to public cloud, including scalability and self-service, but through a proprietary architecture. Elasticity allows their adaptation to input workloads by (de)provisioning resources as the demand rises and drops. It simply means the ability to quickly ramp up additional resources, which in the cloud usually involves scale-out techniques across widely distributed architectures. A. This is often an. Cloud elasticity is a fundamental part of modern cloud computing. This eliminates the need for extra capacity or lengthy purchasing processes. Rapid elasticity and scalability. The private cloud is defined as computing services offered either over the Internet or a private internal network and only to select users instead of the general public. And as technologies make it easier to do so, more. 1 In this paper, cloud. ”. , networks, servers, storage, applications, and. 4. For the cloud user, they will be given. Cloud Elasticity Definition- Elasticity in Cloud Computing refers to the system’s ability to increase or decrease its resources to adapt to the workload changes dynamically. 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 changing demands without worrying about capacity planning and engineering for peak usage. However, there is no clear, concise, and formal definition of elasticity measurement, and thus no effective approach to elasticity quantification has been developed so far. 4. Cloud computing is now a well-consolidated paradigm for on-demand services provisioning on a pay-as-you-go model. In simple words, it is the process of making the most of the technology and minimizing the manual effort. The cloud computing capabilities can be released elastically. Please describe the concept of elasticity in the context of cloud computing. Companies have now started to understand how much unstructured data they need to analyze over the coming years, and thus, letting a cloud provider manage scalability problems is likely to be more cost-effective and convenient. Therefore, elasticity, a critical feature of a cloud platform, is significant to measure the performance of lightweight. Cloud computing is defined as the process of providing computing resources. The public cloud can be defined as a multi-tenant computing service offered over the public internet. The real difference lies in the requirements and conditions under which they. Cloud technology offers businesses a key means of promoting agility and is a vital tool in the enterprise push toward better adaptability. g. For available resources, capacity planning seeks a heavy demand. Numerous business cases and applications may require strict full local (private) control over the. Put simply, elasticity is the ability to increase or decrease the resources a cloud-based application uses. This infrastructure improves. Cloud Models Explained. The central idea behind scalability is to provide sufficient resources to a computing system to deal with momentary demand. In other words, you've connected your device to the internet to store and manage data across your Apple devices. Explain the Platform-as-a-Service (PaaS) and its characteristics. You can deploy your applications in EC2 servers without any worrying about the underlying infrastructure. When demand is low, you can reduce resources and therefore avoid paying excess fees. [2] Large clouds often have functions distributed over multiple locations, each of which is a data center. This cloud model is composed of five essential characteristics: On-demand self-service. Rather than investing heavily in databases, software, and hardware, companies opt to access their compute power via the internet, or the cloud, and pay for it as they use it. 8. System scalability is the system’s infrastructure to scale for handling growing workload requirements while retaining a consistent performance adequately. chapter 6 team exercise. According to Statista: The worldwide public cloud computing market continues to grow and is expected to reach an estimated 397 billion U. The vendor provides support, maintenance, upgrades, and even remote management of the private cloud. They are provided on-demand via self-service, so vast amounts of computing resources can be provisioned in minutes. ) can be elastically provisioned and released, based on demand. However, cloud scaling works much the same. Scalability is. Now the main function of an Elastic Load Balancer, commonly referred to as an ELB, is to help manage and control the flow of inbound requests destined to a group of targets by distributing these requests evenly across the targeted resource group. While it is a Distributed computing architecture. Cloud computing offers secure on-demand storage, servers, databases, networking, and software accessible over the internet (the cloud). These targets could be a fleet of EC2 instances, Lambda functions, a range of IP addresses, or even. The increase / decrease is triggered by business rules defined in advance (usually related to application's demands). Most people, when thinking of cloud computing, think of the ease with which they can procure resources when needed. The definition of cloud computing is the system of computer resources, infrastructure, computing power, and data storage that are available on-demand without user involvement. Service Provider and Service consumer are. Security is one of the biggest concerns when it comes to elastic computing. Utility Computing. Let’s explore some key. Vertical scalability includes adding more power to the current resources, and horizontal scalability means adding more resources to divide. Though adjacent in scope and seemingly identical, cloud scalability and cloud elasticity are not the same. Cloud Scalability vs. Explain the components of cloud computing. Provide you low-cost software. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e. Cloud Scalability vs. Scalability is one of the hallmarks of the cloud and the primary driver of its explosive popularity with businesses. (30 points) Describe the differences between mainframe, client-server, and cloud architectures. This also adds an expertise planning for improvement and optimizes performance. It allows businesses to efficiently and effectively manage their resources. While grid computing is a decentralized executive. The cloud deployment model identifies the specific type of cloud environment based on ownership, scale, and access, as well as the cloud’s nature and purpose. " In general, there are three cloud computing characteristics that are common among all cloud-computing vendors: The back-end of the application (especially. For Cisco, speed and accuracy are crucial to rectifying customer service requests. Some operations which can be performed with cloud computing are –. Elastic computing is a subset of cloud computing that involves dynamically operating the cloud server. On-demand self-service. Horizontal cloud scaling is the addition of computing nodes to cloud infrastructure to enhance bandwidth capabilities. Service elasticity is a common feature offered by many cloud platforms and virtualized data-centers. The National Institute of Standards and Technology (NIST) includes rapid elasticity as an essential characteristic of its definition of cloud computing: “Rapid elasticity. Cloud computing with AWS. ; Implementation: As the number of users streaming the new content increases, the cloud infrastructure instantly adds additional computing resources to handle the higher load. Both are essentially the same, except that they occur in different situations. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly ward and out ward in commensurate with demand. 3. In fact different computing paradigms have existed before the cloud computing paradigm. Abstract: Elasticity is a fundamental feature of cloud computing and can be considered as a great advantage and a key benefit of cloud computing. Elasticity is a defining characteristic that differentiates cloud computing from previously proposed computing paradigms, such as grid computing. It provides a mix of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS) offerings. Ability to dynamically scale the services provided directly to customers. Study with Quizlet and memorize flashcards containing terms like How do the five components of cloud computing defined by the NIST work together to provide users with cloud computing services?, Which type of cloud would your organization be likely to use?, A cloud service should exhibit rapid elasticity, allow users to access resources on. An elastic cloud is a cloud computing offering that provides variable service levels based on changing needs. Broad network access: Cloud capabilities are accessible over the. Device agnostic: Users can access cloud services over a network through a broad range of devices. What is cloud scalability vs. Cloud Elasticity assists companies in avoiding either under- or over-provisioning i. The technology foundations for cloud computing led to a new approach of reusing what was achieved in GRID computing with support from virtualization. Elasticity is a key property of cloud computing environments and one of the features which distinguishes this paradigm from other ones. It’s the cloud’s way of saying, “I’ve got you covered, no matter what. It is a technology that uses remote servers on the internet to store, manage, and access data online rather than local drives. Scalable environments only care about increasing capacity to accommodate an increasing workload. The cloud allows any device to transmit information to a central location instantly. In both cases, elasticity is an intuitive concept and can be precisely described using mathematical formulas. By using cloud computing, users and companies do not have to manage physical servers themselves or run software applications on their. e. It saves your business money by only. The goal of this technique is to adapt to. 4 = 3. Mobile cloud computing is. Cloud computing offers faster innovation, flexible resources, and economies of scale. S. • Elastic: refers to the ability to be increased or decreased dynamically. Elasticity. Elasticity is one of the key characteristics of cloud. Cloud computing has revolutionized the way businesses and individuals access, store, and process data. 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 changing demands without worrying about capacity planning and engineering for peak usage. A public cloud uses the internet; a private cloud uses a local area network. Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud, offering over 200 fully featured services from data centers globally. g. The provider securely stores, manages, and maintains the storage servers, infrastructure, and network to ensure you have. Scalability is the ability to add or remove capacity, mostly processing, memory, or both, from an IT environment. Scalability is one of the prominent features of cloud computing. Cloud load balancing includes holding the circulation of workload traffic and demands. IaaS is one of the four types of cloud services, along with software as a service ( SaaS ), platform as a service ( PaaS ), and serverless. To better understand this concept, let us consider a. Iaas is also known as Hardware as a Service (HaaS). Context: In cloud computing, there is a multitude of definitions and metrics for scalability, elasticity, and efficiency. Cloud computing is the On-demand availability of computing services including servers, storage, databases, networking, software, analytics, and intelligence, over the Internet. 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. What is cloud computing? "The cloud" refers to servers that are accessed over the Internet, and the software and databases that run on those servers. Article. Service-Oriented Architecture (SOA) allows organizations to access on-demand cloud-based computing solutions according to the change of business needs. If the workload increases, more resources are released to the system; on the contrary, resources are Elastic cloud storage. Simply put, scalability is the ability to add or subtract computing resources as needed. Some operations which can be performed with cloud computing are –. According to Wikipedia, “In cloud computing, elasticity is defined as “the degree to which a system can 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. For the majority of this guide, we’ve chosen to keep things simple by using on-premise non-cloud scaling for our examples. 1. Now the main function of an Elastic Load Balancer, commonly referred to as an ELB, is to help manage and control the flow of inbound requests destined to a group of targets by distributing these requests evenly across the targeted resource group. The definition is as follows: “Cloud computing is a computing model: IT resources, data and applications are provided as services to users through the network. g. Apart from the above, some other Cloud Computing advantages are: On-Demand Self-service. These 5 characteristics of cloud computing are what make the technology the most buzzing and in-demand technology of today. 4. ”. In contempt of the importance of load balancing techniques to the best. Efficiency. Private cloud combines many of the benefits of cloud. Cloud scalability in cloud computing refers to the ability to increase or decrease IT resources as needed to meet changing demand. Simply put, scalability is the ability to add or subtract computing resources as needed. Amazon Elastic Compute Cloud (Amazon EC2) offers the broadest and deepest compute platform, with over 700 instances and choice of the latest processor, storage, networking, operating system, and purchase model to help you best match the needs of your workload. Cloud elasticity allows businesses to easily adjust their capacity, manually or automatically, to meet increased demand. Resource pooling. The shift to cloud computing amplified by COVID-19 and remote work has. A cloud can be private or public. Here all the computer systems are. Serverless computing is a cloud computing model that enables developers to build and run code on servers that are managed by the cloud provider and available on demand. 1. ; Implementation: As the. A cloud architecture is how individual technologies are integrated to create cloud computing environments. Cloud computing is also referred to as Internet-based computing, it is a technology where the resource is provided as a service through the Internet to the user. The service, often incorrectly referred to as Elastic Block Storage, provides highly available block-level storage volumes for use with Amazon Elastic Compute Cloud (EC2) instances. Cloud computing is defined as the use of hosted services, such as data storage, servers, databases, networking, and software over the internet. It specifies how your cloud infrastructure will look, what you. First, we present a new, quantitative, and formal definition of elasticity in cloud computing, i. 2. A new, quantitative, and formal definition of elasticity in cloud computing, i. term elasticity is nowadays heavily used in the context of cloud computing. It is a. Elastic computing refers to a scenario in which the overall resource footprint available in a system or consumed by a specific job can grow or shrink on demand. This is one of the main benefits of using the cloud — and it allows companies to better manage resources and costs. This model increasingly affects more areas of the technology landscape on more levels than ever before. e. 2. Gartner provides this definition that encompasses the essence of the cloud: “Cloud computing is a style of computing in which scalable and elastic IT-enabled. Google App Engine, one of the earliest PaaS cloud offerings, offered automatic scaling from the early days of cloud computing. Load balancing techniques cater the solution for load unbalancing situation for two undesirable facets- overloading and under-loading. 4. 1. Scalability in cloud computing is more of a constant process of adding more to your system so that it would keep up with the demand. e. Elastic computing is defined as the ability of a cloud service provider to swiftly scale the usage of resources such as storage, infrastructure, memory, etc. These are distributed systems and its peripherals, virtualization, web 2. Its ability to quickly make adjustments in the resources without hindering the system’s. The ability to dynamically scale services being provided in direct response to the need of customers for space and other services. Published: 20 Sep 2022. And in the cloud, resource pooling is a multi-tenant process that depends on user demand. PaaS Definition. This cloud model promotes. Private cloud is a cloud environment in which all cloud infrastructure and computing resources are dedicated to, and accessible by, one customer only. There is a significant amount of confusion among buyers about storage scalability, elasticity and on-demand. Speed to market: Developing in the cloud enables users to get their applications to market quickly. The autoscaling of containers can adaptively allocate computing resources for various data volumes over time. Elasticity differs in that it's not defined by those limits, because if a server reaches its full capacity and additional resources are needed, that resource. , 2) What does the term elastic in the definition of the cloud mean? A) It means that the computing resources leased can be increased or decreased dynamically in cloud-based hosting. In making cloud computing what it is today, five technologies played a vital role. Rapid elasticity. 6 Conclusion 5 Towards Benchmarking Elasticity In this short paper, we proposed a refined definition of Characterizing the elasticity of a single system is not a elasticity to contribute in establishing a common under- simple task on its own and it becomes even more com- standing of this term in the context of cloud computing. Elasticity. Cloud Elasticity Definition- Elasticity in Cloud Computing refers to the system’s ability to increase or decrease its resources to adapt to the workload changes dynamically. Cloud Elasticity: Elasticity refers to the ability of a cloud to automatically expand or. 1 Elasticity definition and its related terms according to a utility model to satisfy. A user can create, launch, and terminate server instances as needed, paying by the hour for active servers, hence the term "elastic". Cloud Elasticity assists companies in avoiding either under- or over-provisioning i. Fast and effective virtualization. memory space, calculation power etc. Capabilities can be elastically provi- sioned and released, in some cases automatically, to Fig. There are the following operations that we can do using cloud computing:Cloud load balancing is the process of distributing workloads and computing resources in a cloud computing environment. Summary. Elastic computing refers to a scenario in which the overall resource footprint available in a system or consumed by a specific job can grow or shrink on demand. Growing demand for cloud computing professionals. Auto scaling, also referred to as autoscaling, auto-scaling, and sometimes automatic scaling, is a cloud computing technique for dynamically allocating computational resources. While elasticity usually involves the dynamic allocation of memory and CPU resources, scalability often consists of the provisioning of new servers to meet static demand growth. Elasticsearch, powered by Elastic Cloud on the Google Kubernetes Engine (GKE), is the most sophisticated open search platform available. Let us take a look at all the computing paradigms below. 4. The different sub-processes and components of elasticity management were also introduced and discussed. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. A metric provides knowledge about a cloud property through both its definition (e. Cloud computing is also referred to as Internet-based computing, it is a technology where the resource is provided as a service through the Internet to the user. In a few words, elasticity consists of the ability to tackle changes in the workload of a computing system. Rapid elasticity refers to the ability of cloud computing systems to rapidly and automatically adjust computing resources, such as processing power, storage, and bandwidth, in response to changes in demand. 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. Agility: Cloud services can allocate and deallocate resources quickly. dollars in 2022. Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e. With the emergence of the Internet of Things (IoT), where there is a need for interconnectivity between singular devices, the cloud paradigm has. Cloud elasticity is generally used by small enterprises whose workload expands only for a specific period. The dynamic adaptation of. Cloud Edge Computing Elasticity. Rapid Elasticity in Cloud Computing. This feature swiftly scales the resources to meet the varying demand. Originating from the field of physics and economics, the term elasticity is nowadays heavily used in the context of cloud computing. Automated Resource Allocation. The concept of elasticity has been transferred to the context of cloud computing and is commonly con- ELASTICITY - ability of the hardware layer below (usually cloud infrastructure) to increase or shrink the amount of the physical resources offered by that hardware layer to the software layer above. , along with the QoS (quality of service); these resources are analogous to. Elasticity implies the ability to shift and pool resources across disparate infrastructure so that data needs and resource availability can. In this work the stress is defined taking into account the accuracy while the strain is defined considering the. When the phrase “the cloud” first began popping up in the early 2000s, it had an esoteric ring. Cloud Elasticity can refer to ‘cloud bursting’ from on-premises infrastructure into the public cloud for example to meet a sudden or seasonal demand. b) Virtual appliances are becoming a very important standard cloud computing deployment object. Cloud Computing Elasticity – Definition The elasticity of cloud computing can be compared to using a flexible rubber band that adjusts according to. On-demand self-service. The advantages of using SOA is that it is easy to maintain, platform independent, and highly scalable. Cloud-native. Enter the email address you signed up with and we'll email you a reset link. Cloud elasticity serves as a cornerstone in the modern organizational infrastructure, offering a pathway to navigate the dynamic digital landscape with agility and precision. g. Cloud infrastructure refers to the hardware and software components -- such as servers , storage, a network and virtualization software -- that are needed to support the computing requirements of a cloud computing model. Security. Explain the Software-as-a-Service (SaaS) and its. This infrastructure improves. These services and their delivery are at the core of cloud computing. Despite that, there is no precise and common understanding of the term. The ability of the cloud to grow to. การประมวลผลใดๆ ผ่านเครือข่าย Internet ที่พร้อมให้บริการกับผู้ใช้งาน เมื่อไรก็ตามที่มี. Existing work on elasticity lack of solid and. Cloud load balancing is defined as the method of splitting workloads and computing properties in a cloud computing. Rapid Access Computing Environment (RACE) is a United States federal government infrastructure-as-a-service ( IaaS ) initiative for developing and testing new Department of Defense (DoD) software applications. To handle such high volumes of traffic, most. The data which is stored can be files, images, documents, or any other storable document. Computing resources such as CPU/processing,. dollars in 2022. Private cloud is a cloud environment in which all cloud infrastructure and computing resources are dedicated to, and accessible by, one customer only. A Static IPv4 address more suited for dynamic cloud computing is called an Elastic IP (EIP) address. Public cloud is for users that want to access compute infrastructure on-demand with increased scalability, elasticity, and on a pay-per-use basis for CPU cycles, storage and bandwidth consumed over a given time period such as per. The structure of an ECS is defined via three types of BRS: front-end, back-end and the elasticity controller. Certifications in cloud computing can help clearly define who is qualified to support an organization’s cloud requirements. Distributed Computing : Distributed computing is defined as a type of computing where multiple computer systems work on a single problem. Cloud computing is defined as the process of providing computing resources. The authors define elasticity as the ability of a system to add and remove resources such as CPU cores, memory, VM and container instance, “on the fly". Cloud computing is the on-demand delivery of computing resources and services over a hybrid, private, public, or multi-cloud network. 3 Elasticity Definition Elasticity is 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. Cloud. What is the definition of cloud-based scalability? Can the characteristics of cloud computing facilitate the implementation of scalability?Scalability and elasticity in cloud: Scalability can be defined as the cloud's ability to manage workloads by increasing or decreasing resources per the demand. Elasticsearch is a distributed, RESTful search and analytics engine that can address a huge number of use cases. Elasticity. Cloud Elasticity. Among the cloud features, we highlight elasticity as one of the most pertinent for this kind of demand, particularly because this facility is in charge of on-the-fly modifying resource. The central advantage of public cloud is that it offers great agility and elasticity—consumers can burst, expand, or contract resource consumption on the fly to. 1 7. The elasticity of these resources can be in terms of. 8. According to Statista: The worldwide public cloud computing market continues to grow and is expected to reach an estimated 397 billion U. Elasticity is related to the dynamic use of current resources, whereas scalability is the accommodation of larger workloads without the transformation of complete existing infrastructure. Cloud Edge Computing Elasticity Cloud and edge computing complement each other to form a mutually beneficial and inter-dependent service continuum. Elasticity. On-demand cloud computing is you spin up a cloud resource when YOU want to. Automation reduces the operational overhead of managing source servers and. 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. With the emergence of the Internet of Things (IoT), where there is a need for interconnectivity between singular devices, the cloud paradigm has. Scalability is one of the hallmarks of the. • Rapid elasticity. Conversely, when demand is high, you can rapidly scale up to accommodate needs without overloading your systems. 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. , the probability that the. 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. In cloud computing, the cloud computing infrastructure is analogous to a solid object. Amazon also provides local storage for EC2 instances. In simple terms, cloud computing allows you to rent instead of buy your IT. ELB automatically distributes incoming application traffic and scales resources to meet traffic demands. , networks, servers, storage, applications and services) that can be rapidly. Cloud Computing Overview - Cloud Computing provides us means of accessing the applications as utilities over the Internet. Cloud computing is all about renting computing services. Scalability in the cloud refers to adding or subtracting resources as needed to meet workload demand, while being bound by capacity limits within the provisioned servers hosting the cloud. Key Cloud Computing Drivers: Elasticity (define, plus sub-bullets V and S) Definition. Both elasticity and scalability are key to modern storage systems. Platform as a service (PaaS) is a cloud computing model in which a third-party provider delivers hardware and software tools -- usually those needed for application development -- to users over the internet. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. The NIST cloud computing definition [1] is widely accepted as a valuable contribution toward providing. Our research makes the following significant contributions. Resource Pooling. Elastic computing is a concept in cloud computing in which computing resources can be scaled up and down easily by the cloud service provider. The process of adding more nodes to accommodate growth is known as. plicated when. Whereas elasticity has become mainstream for web-based, interactive applications, it is still a major research challenge how to leverage elasticity for applications from the high-performance. The goal of this technique is to adapt to. A change of configuration is also possible with a short reaction time by the provider. These targets could be a fleet of EC2 instances, Lambda functions, a range of IP addresses, or even. Definitions: A model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e. Cloud computing resources can scale up or down rapidly and, in some cases, automatically, in. Cloud computing defined. Automation is an essential feature of cloud computing. Its practical definition of “cloud” is a metaphorical method used to express the abstraction of complex infrastructure. Working Group analyzed the NIST cloud computing definition and developed guidance on how to use it to evaluate cloud services. You configure the EC2-Instance in a very secure manner by using the VPC, Subnets. 1. Although many works in literature have surveyed cloud computing and its features, there is a lack of a detailed analysis about elasticity for the cloud. It states that the capacity and performance of any given cloud service can expand or contract according to a customer's requirements and that. Cloud load balancing is defined as the method of splitting workloads and computing properties in a cloud computing. Automation. 2. Engineers study application behavior during software testing to maintain a. Define cloud computing and explain the three key terms in your definition. characteristics of the cloud computing model. Load balancing is the method of distributing network traffic equally across a pool of resources that support an application. It is a long-term event that is used to deal with an expected growth in demand. Put simply, cloud computing is a remote virtual pool of on-demand shared resources offering compute, storage, and network services that can be rapidly deployed at scale. One can eliminate his investment in hardware upfront using the Amazon Elastic Compute Cloud and boost the development and deployment application process.