Scalability and elasticity are top priorities as up-front capacity planning is nearly. Cloud elasticity is a fundamental part of modern cloud computing. Service-Oriented Architecture (SOA) allows organizations to access on-demand cloud-based computing solutions according to the change of business needs. Computing resources such as CPU/processing,. Broad network access: The Computing services are. Muhammad Raza. 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. It refers to the ability of cloud infrastructure to dynamically allocate and de-allocate computing resources in response to your constantly changing needs. Elastic computing is a concept in cloud computing in which computing resources can be scaled up and down easily by the cloud service provider. Implement redundant systems: Using redundant systems, such as multiple servers or data centers, can help ensure that the system continues to function even if one component fails. 28 They. Depending on application. Actuating (processing data); and Communicating (distributing data). IaaS is one of the four types of cloud services, along with software as a service ( SaaS ), platform as a service ( PaaS ), and serverless. 3. Explanation: Answer options E, D, C, and B are correct. Maybe with an example, that would be great :) On-Premise Vs. Infrastructure as a service (IaaS) is a type of cloud computing service that offers essential compute, storage, and networking resources on demand, on a pay-as-you-go basis. Elastic Load Balancing (ELB) is a load-balancing service for Amazon Web Services (AWS) deployments. Cloud load balancing includes holding the circulation of workload. Both elasticity and scalability are key to modern storage systems. Cloud computing is the the use of various services, such as software development platforms, servers, storage and software, over the internet, often referred to as the "cloud. Clients, users, or businesses acquire amenities such as data storage space, computing capabilities, applications services, virtual servers, or even hardware rentals such as CPUs, monitors, and input. Elasticsearch, powered by Elastic Cloud on the Google Kubernetes Engine (GKE), is the most sophisticated open search platform available. broad network access, resource pooling, rapid elasticity, and measured service. Broad network access. The NIST definition of cloud computing contains five characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service (Mell & Grance, 2011). Growing demand for cloud computing professionals. Background. This is one of the five fundamental aspects of cloud computing. Define cloud computing and explain the three key terms in your definition. Cloud computing allows on-demand self-services. Despite that, there is no precise and common understanding of the term. In other words, cloud computing refers to provisioning and maintaining resources in computing; cloud agility refers to issues like security. In cloud computing, resources can be dynamically provisioned on demand, and a customer has to pay only for the consumed resources. 1. 6 IEEE TRANSACTIONS ON CLOUD COMPUTING, VOL. A: The performance cloud in cloud computing refers to a high-performance infrastructure designed to meet demanding computing needs. plicated when. Cloud computing has revolutionized the way businesses and individuals access, store, and process data. One key aspect of cloud computing is its elasticity, which refers to the ability to scale resources up or down dynamically based on demand. Cloud storage is a cloud computing model that enables storing data and files on the internet through a cloud computing provider that you access either through the public internet or a dedicated private network connection. 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. Cloud elasticity allows organizations to easily add or remove capacity based on workload trends. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. It determines whether the systems are working properly, used to measure their performance, determine the usage of patterns and predict future demand of cloud-capacity. 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". Courses. Multitenant architecture is a feature in many types of public cloud computing, including IaaS, PaaS, SaaS, containers, and serverless computing. 1. Published: 20 Sep 2022. 6. ; Implementation: As the. These 5 characteristics of cloud computing are what make the technology the most buzzing and in-demand technology of today. Explain the Platform-as-a-Service (PaaS) and its characteristics. The ability of cloud computing to automatically install, configure and maintain a cloud service is known as automation in cloud computing. Computing resources such as CPU/processing,. Nous avons modélisé le modèle de déploiement des AbSs en utilisant les réseaux de. Attitudes toward security have changed significantly. Rapid elasticity. Elasticity implies the ability to shift and pool resources across disparate infrastructure so that data needs and resource availability can. Data backup with elasticity-enabled Cloud imparts flexibility and supports continual disaster recovery. 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. 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". 1 shows a cost-related elasticity requirement specified by, e. This cloud. g. Rapid elasticity and scalability. A cloud service provider (CSP) may implement hyper-converged infrastructure-based horizontal scaling or choose to use virtual distributed services. Autoscaling is a critical aspect of modern cloud computing deployments. 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. First, we present a new, quantitative, and formal definition of elasticity in cloud computing, i. Cloud Elasticity assists companies in avoiding either under- or over-provisioning i. In the cloud, you want to do this automatically. Measured service. Autoscaling is related to the concept of burstable. Elasticity rather reflects the condition of your system. However, cloud scaling works much the same. To achieve them, some providers take expedient shortcuts, while others invest in discontinuous change. Abstract: Elasticity is a fundamental feature of cloud computing and can be considered as a great advantage and a key benefit of cloud computing. Experts point to this kind of scalable model as one of five fundamental aspects of cloud computing. Nov 8, 2018. By resources, it means the CPU memory, CPU cores, storage resources, etc. Rapid Elasticity in Cloud Computing. ECS enables organizations to capture, store, protect and manage unstructured data at public cloud-like scale while. g. However, stakeholders have little guidance for choosing fitting definitions and metrics for these quality properties, thus leading to potential misunderstandings. Using the Cloud means agility and adding business value. Elastic systems are systems that can readily allocate resources to the task when it arises. 5 Elastic Computing. informally, elasticity denotes the sensitivity of a depen-dent variable to changes in one or more other variables [1]. 1. Define elasticity as it pertains to cloud computing. 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. A private cloud, also known as an internal or corporate cloud, is dedicated to the needs and goals of a single organization whereas public clouds deliver services to. The cloud computing capabilities can be released elastically. The NIST cloud computing definition [1] is widely accepted as a valuable contribution toward providing. System monitoring tools control Elastic. A change of configuration is also possible with a short reaction time by the provider. It enables enterprise to manage workload demands or application demands by distributing resources among numerous computers, networks or servers. Using Amazon EC2 reduces. It can work without or with cloud computing. dollars in 2022. Cloud: The elastic leasing of pooled computer resources over the Internet. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly ward and out ward in commensurate with demand. Cloud Elasticity assists companies in avoiding either under- or over-provisioning i. It offers cost savings, scalability, high performance, economies of scale, and more. Cloud Elasticity enables organizations to rapidly scale capacity up or down, either automatically or manually. Cloud computing is all about renting computing services. 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. 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. Auto Scaling Definition. While we often use it to refer to a system’s ability to grow, it is not exclusive to this definition. Explain the Software-as-a-Service (SaaS) and its. The provisioning and scheduling processes may take define elasticity as the ability of a system to add. This section presented cloud computing elasticity and defined the process of elasticity management. It’s the way all the components that make up clouds—hardware, virtual resources, networks, operating systems, middleware, automation, management, containers, and more—are connected. This is often an. g. [2] The NIST Definition was intended for the statedCloud computing is an emerging distributed computing paradigm that has become one of the extremely popular computing paradigms nowadays. ”. 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. Simply put, cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale. Learn about benefits and more. Automated Resource Allocation. Businesses are investing heavily in cloud computing resources, and professionals with the right set of skills are much in demand. Cloud Elasticity. 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. 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. Google App Engine, one of the earliest PaaS cloud offerings, offered automatic scaling from the early days of cloud computing. Ability to dynamically scale the services provided directly to customers. Scalability in the cloud computing allows businesses to scale their computing resources up and down based on the requirement ensuring low infrastructure disruption. ; Implementation: As the number of users streaming the new content increases, the cloud infrastructure instantly adds additional computing resources to handle the higher load. 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. ELB helps an IT team adjust capacity according to incoming application and network traffic. 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. Cloud load balancing includes holding the circulation of workload traffic and demands. An overview of Cloud Scalable. Mobile cloud computing is. These 5 characteristics of cloud computing are what make the technology the most buzzing and in-demand technology of today. In simplified terms, Platform as a Service refers to a computing service in the cloud, where third-party cloud service providers employ virtualization technology to deliver a fully loaded, high-performing development platform to application developers over an Internet connection. Cloud computing is defined as the process of providing computing resources. Different clouds serve as central repositories for some or all of these services. In many ways, cloud computing is defined by its elastic nature, which also sets it apart from traditional computing paradigms including client-server, grid computing, and legacy infrastructure. Even the. 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. g. Introduction. A delivery model for computing resources in which various servers, applications, data, and other resources are integrated and provided as a service over the internet. 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. What is rapid elasticity? To the consumer, the resource pool appears to be unlimited (that is, expands quickly, so it is called elastic), and the requests for new services are filled quickly. , the probability that the computing resources provided by a cloud platform match the current. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. The shift to cloud computing amplified by COVID-19 and remote work has. e. In the cloud, you want to do this automatically. Cloud computing is the delivery of computer resources like data storage via the internet. Scalability is one of the hallmarks of the. Learn more. False. Millions of. Azure SQL Database Elastic Jobs preview faces a refresh, introducing customer-requested features and additions including Microsoft Entra ID support, Service. Elasticity is a 'rename' of scalability, a known non-functional requirement in IT architecture for many years already. Similarly, Edge and Cloud Computing life cycle is defined around three functions (Figure2, Figure 3). If the workload increases, more resources are released to the system; on the contrary, resources are Elastic cloud storage. You need reliability in cloud computing to ensure that your products and services work as expected. In NIST’s definition of cloud computing, the five essential characteristics of cloud computing are addressed. Using elasticity, you can scale the infrastructure up or down as needed. In cloud computing, resources can be dynamically provisioned on demand, and a customer has to pay only for the consumed resources. Elasticity of the EC2. In simple words, it is the process of making the most of the technology and minimizing the manual effort. The technical aspects of the service are fully managed by the provider. While it is a Distributed computing architecture. With Elastic integrated on Google Cloud, Cisco is able to increase operational efficiency with its ability to deliver accurate. Elasticity. Latency and bandwidth both play a major role in cloud computing. 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. It is of two types - horizontal and vertical. Cloud elasticity is the automatic provisioning and deprovisioning of resources from a data centre when demand from a customer increases or decreases. g. There are many characteristics of Cloud Computing here are few of them : On-demand self-services: The Cloud computing services does not require any human administrators, user themselves are able to provision, monitor and manage computing resources as needed. However, it is not always feasible for a business to relinquish full control over the data and infrastructure due to compliance, retention or cost [10]. " Elastic computing is critical to cost reductions and time to market (TTM). First, we present a new, quantitative, and formal definition of elasticity in cloud computing, i. Elasticity implies the ability to shift and pool resources across disparate infrastructure so that data needs and resource availability can. The essential characteristics of cloud computing help define what is a cloud environment. broad network access, resource pooling, rapid elasticity, and measured service. This feature swiftly scales the resources to meet the varying demand. Rapid elasticity is a cloud computing term for scalable provisioning, or the ability to provide scalable services. System scalability is the system’s infrastructure to scale for handling growing workload requirements while retaining a consistent performance adequately. Broad network access:. The elasticity process should proceed quickly, almost instantly. It allows businesses to efficiently and effectively manage their resources. This ease has played a major role in cloud adoption as both a supplement to local, or traditional, computing and cloud-first infrastructures. Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e. The NIST cloud computing definition [1] is widely accepted as a valuable contribution toward providing. These services and their delivery are at the core of cloud computing. Amazon EC2 allows a developer to spin up virtual machines ( VMs ), which provide compute capacity for IT projects and cloud workloads that run with global. 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. 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. PaaS Definition. 1. 2. Elasticity is the foundation of cloud performance and can be considered as a great advantage and a key benefit of cloud computing. In contempt of the importance of load balancing techniques to the best. A third group of services integrate with AWS Auto Scaling. Elastic. In this Cloud Computing Tutorial, you will learn the basics concepts of cloud computing which include multiple service models, deployment. Software engineers define how to deprovision resources for applications that are deployed in the cloud. 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. In a cloud computing context, agility often refers to developing, testing rapidly, and launching applications that drive business growth in a constantly changing IT environment. Thus, elasticity is a key enabler for economies of scale in the cloud that enhances utility. Elasticity of a cloud computing system refers to its ability to expand. The different sub-processes and components of elasticity management were also introduced and discussed. A Static IPv4 address more suited for dynamic cloud computing is called an Elastic IP (EIP) address. 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. Elasticity is considered to be the most beneficial characteristic of cloud environments, which distinguishes the cloud from clusters and grids. 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. 5 min read - The rise of digital transformation and the increased popularity of cloud computing helps companies deliver unique services to customers online and leads many organizations to consider themselves as technology companies. It is a technology that uses remote servers on the internet to store, manage, and access data online rather than local drives. Abstract. A cloud architecture is how individual technologies are integrated to create cloud computing environments. Data storage capacity, processing power and networking can all be scaled using existing cloud. For available resources, capacity planning seeks a heavy demand. , 2016). Amazon Elastic Compute Cloud (EC2) offers granular control for managing your infrastructure with the choice of. (2017) proposed a generic and exhaustive formal approach to model elastic cloud systems based on the combination of bigraphical reactive systems ( Milner, 2006 ), BRS for short, and Maude ( Clavel et al. This infrastructure improves. 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. It is a short-term event that is used to deal with an unplanned or sudden growth in demand. When demand is low, you can reduce resources and therefore avoid paying excess fees. A user can provide computer capabilities (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. Elasticity, one of the major benefits required for this computing model, is the ability to add and remove resources “on the fly” to handle the load variation. Most people, when thinking of cloud computing, think of the ease with which they can procure resources when needed. Cloud computing has and will continue to expand the IT operations and IT utilization options for organizations of all sizes. 1 7. The real difference lies in the requirements and conditions under which they function. 1. While in grid computing, resources are used in collaborative pattern. 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. 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. g. Load balancing techniques cater the solution for load unbalancing situation for two undesirable facets- overloading and under-loading. A precise definition of elasticity is proposed and its core properties and requirements explicitly distinguishing from related terms such as scalability and efficiency are analyzed. Users. Cloud-native. One of the most relevant cloud computing characteristics is the ability of these systems to provide resources as companies need them. Amazon Elastic Compute Cloud (Amazon EC2) is a web-based service that allows businesses to run application programs in the Amazon Web Services ( AWS ) public cloud. A PaaS provider hosts the hardware and software on its own infrastructure . Cloud computing has become an alternative to enable distributed computational resources to execute HPC-driven scientific applications. Elasticity allows their adaptation to input workloads by (de)provisioning resources as the demand rises and drops. Clouds are complex systems that provide computing resources in an elastic way. AWS elasticity allows users to dynamically scale up or down their resources based on traffic and usage patterns. , Scale-Up – can handle an increasing workload by adding resources to the existing infrastructure. One of the primary differences between scalability and elasticity is the scale of resources involved. Amazon Web Services (AWS) is a comprehensive, evolving cloud computing platform provided by Amazon. Elastic computing is the ability of a cloud service provider to provision flexible computing power when and wherever required. Working Group analyzed the NIST cloud computing definition and developed guidance on how to use it to evaluate cloud services. 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. S. Rapid Elasticity. It provides a mix of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS) offerings. It is one of the layers of the cloud computing platform. The main benefits of agility in cloud computing are as follows: 1. Cloud computing offers faster innovation, flexible resources, and economies of scale. This cloud model promotes. This eliminates the need for extra capacity or lengthy purchasing processes. 1. You can access cloud services over the network and on portable devices like mobile phones, tablets, laptops, and desktop computers. Elasticity, however, is a fuzzier term. It is very easy to. ”. Cloud servers are located in data centers all over the world. 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. Users enable ELB within a single availability. Sources: CNSSI 4009. 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. According to the official NIST definition, "cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e. The goal of cloud elasticity is to avoid either over-provisioning or under-provisioning a particular service or application. Cloud computing is used to speed up the provisioning, de-provisioning, and deployment of IT resources by using automation, user-friendly online consoles. Cloud computing is the delivery of computing resources over the internet. According to Statista: The worldwide public cloud computing market continues to grow and is expected to reach an estimated 397 billion U. Other services require vertical scaling. When the phrase “the cloud” first began popping up in the early 2000s, it had an esoteric ring. (For those who want more. Elasticity. Using Amazon EC2 reduces hardware costs so you can develop and deploy applications faster. Private cloud is a cloud environment in which all cloud infrastructure and computing resources are dedicated to, and accessible by, one customer only. Virtualization makes multi-cloud architecture accessible. How does cloud computing help scalability?Infrastructure as a service. It states that the capacity and performance of any given cloud service can expand or contract according to a customer's requirements and that. In [7], the traditional definition of elasticity used in physics is used to represent elasticity in cloud computing and to quantify how fast and efficiently the computing resources are varied in response to users’ demand. Cloud elasticity is generally used by small enterprises whose workload expands only for a specific period. This infrastructure improves. 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. The increase / decrease is triggered by business rules defined in advance (usually related to application's demands). 2. The term elasticity in cloud computing is directly related to response time (a server takes towards user request during resource providing and de-providing. Elastic Stack is a group of products that can reliably and securely take data from any source, in any format, then search, analyze, and visualize it in real-time. 2. This is one of the main benefits of using the cloud — and it allows companies to better manage resources and costs. Virtualization is technology that you can use to create virtual representations of servers, storage, networks, and other physical machines. 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. One of the most common examples of cloud computing is Apple's iCloud. And in the cloud, resource pooling is a multi-tenant process that depends on user demand. 3. One can eliminate his investment in hardware upfront using the Amazon Elastic Compute Cloud and boost the development and deployment application process. It means a cloud service can automatically change its. Cloud Elasticity can refer to ‘cloud bursting’ from on-premises infrastructure into the public cloud for example to meet a sudden or seasonal demand. Scalability describes a system’s elasticity. An elastic cloud is a cloud computing offering that provides variable service levels based on changing needs. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. The advantages of using SOA is that it is easy to maintain, platform independent, and highly scalable. 1. A cloud can be private or public. 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. Rapid elasticity goes like this. To handle such high volumes of traffic, most. Elastic computing is a concept in cloud computing in which computing resources can be scaled up and down easily by the cloud service provider. Simply put, scalability is the ability to add or subtract computing resources as needed. This also adds an expertise planning for improvement and optimizes performance. Virtual software mimics the functions of physical hardware to run multiple virtual machines simultaneously on a single physical machine. The cloud computing capabilities can be released elastically. server time, storage) as needed automatically without requiring any human interaction. cloud computing. This is only one aspect to elasticity. By 2025, 85% of enterprises will have a cloud-first principle — a more efficient way to host data rather than on-premises. Data storage capacity, processing power, and networking can all be increased by using existing cloud. It’s the cloud’s way of saying, “I’ve got you covered, no matter what. In simplified terms, Platform as a Service refers to a computing service in the cloud, where third-party cloud service providers employ virtualization technology to deliver a fully loaded, high-performing development platform to application developers over an Internet connection. Users enable ELB within a single availability. Users can select and use single or multiple services depending on their needs. It simply means the ability to quickly ramp up additional resources, which in the cloud usually involves scale-out techniques across widely distributed architectures. The final trait highlighted in the NIST definition of cloud computing is "rapid elasticity. Actually, two or more. Elasticity. Amazon Web Services (AWS) is a comprehensive, evolving cloud computing platform provided by Amazon. Metered services are becoming increasingly common in enterprise information technology ( IT ) environments. Cloud Computing Overview - Cloud Computing provides us means of accessing the applications as utilities over the Internet. Cloud Agility allows them to focus on other issues such as security, monitoring and analysis, instead of provisioning and maintaining. Rapid elasticity. Considering the importance of elasticity in cloud computing context, the objective of this paper is to present a comprehensive study about the elasticity. These services can be adjusted to suit each client's needs without any changes being apparent to the client or end user. Numerous business cases and applications may require strict full local (private) control over the. Containers have been a pervasive approach to help rapidly develop, test and update the Internet of Things applications (IoT). Vertical scale, e. NIST SP 800-145, The NIST Definition of Cloud Computing, Cloud Computing, SaaS, PaaS, IaaS, On-demand Self Service, Reserve Pooling, Rapid Elasticity, Measured Service. Description and Evaluation of Elasticity Strategies for Business Processes in the Cloud. Automation is an essential feature of cloud computing. A user can create, launch, and terminate server instances as needed, paying by the hour for active servers, hence the term "elastic". Horizontal elasticity consists in adding or removing. The significant business and technical advantages offered by the cloud are changing the landscape of how many companies and corporations operate on a huge scale. This type of private cloud is managed by a third-party vendor. These targets could be a fleet of EC2 instances, Lambda functions, a range of IP addresses, or even. Cloud scalability in cloud computing refers to the ability to increase or decrease IT resources as needed to meet changing demand.