Study Cloud Computing flashcards. Elastic resources match the current needs and resources are added or removed automatically to meet future demands. Working Group analyzed the NIST cloud computing definition and developed guidance on how to use it to evaluate cloud services. Broad network access: The Computing services are. Agility: Cloud services can allocate and deallocate resources quickly. Metered services are becoming increasingly common in enterprise information technology ( IT ) environments. This means that the data is kept on the AWS EBS servers even when the EC2 instances are shut down. The shift to cloud computing amplified by COVID-19 and remote work has. 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. ” Elasticity is a defining. Cloud computing has gathered great attention recently as a method for eliminating or at least reducing expensive setup and maintenance cost of computing. 2. Explain the cloud data center and its application. Cloud computing is a technology that enables us to create, configure, and customize applications through an internet connection. Rapid elasticity and scalability. Elasticity, however, is a fuzzier term. Elastic Computing is the capability of the cloud services to decrease or expand the computer storage, memory, processing for overcoming the fluctuating demands that arise every day. Cloud Elasticity can be automatic, without need to perform capacity planning in advance of the occasion, or it can be a manual process where the organization is notified they are running low on. cloud that his data or information will be isolated in the cloud and cannot be accessed by other members sharing the cloud. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. Cloud elasticity is the automatic provisioning and deprovisioning of resources from a data centre when demand from a customer increases or decreases. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. Cloud Computing Overview - Cloud Computing provides us means of accessing the applications as utilities over the Internet. Using Amazon EC2 reduces hardware costs so you can develop and deploy applications faster. This gives their customers the perception of. Name the 5 essential characteristics of cloud computing. Conversely, when demand is high, you can rapidly scale up to accommodate needs without overloading your systems. Serverless computing frees developers from backend infrastructure management and provides a scalable and flexible environment for companies. What is cloud scalability vs. Summary. Cloud Elasticity. I read from the book of T. It ensures fast data processing, low latency, and high availability, making it suitable for applications with stringent performance requirements, such as scientific research, AI/ML, and real-time. If cloud infrastructure is the tools. Definitions: A model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e. Elasticity is a key feature in the cloud computing context, and perhaps what distinguishes this computing paradigm of the other ones, such as cluster and grid computing. Explore these eight key characteristics of cloud computing that explain why it's the go-to destination for building and deploying modern applications. plicated when. 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]. Cloud technology offers businesses a key means of promoting agility and is a vital tool in the enterprise push toward better adaptability. If any feature is missing from the defining feature, fortunately, it is not cloud computing. Definition of Cloud Computing: Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e. Benefits of Cloud Computing. Scalability is largely manual, planned, and predictive, while elasticity is automatic, prompt, and reactive to expected conditions and preconfigured rules. e. The essential characteristics of cloud computing help define what is a cloud environment. Elasticity can be defined as how a cloud adapts to variations in its workload through resources provisioning and deprovisioning. 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. Horizontal elasticity consists in adding or removing. 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. Apart from the above, some other Cloud Computing advantages are: On-Demand Self-service. 28 They. Elastic Load Balancing (ELB) is a load-balancing service for Amazon Web Services (AWS) deployments. Cloud computing allows on-demand self-services. In NIST’s definition of cloud computing, the five essential characteristics of cloud computing are addressed. This infrastructure improves. Numerous business cases and applications may require strict full local (private) control over the. 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. 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. Amazon EC2 allows a developer to spin up virtual machines (), which provide compute capacity for IT projects and cloud workloads that run with global AWS data centers. 2. Businesses are investing heavily in cloud computing resources, and professionals with the right set of skills are much in demand. The technology foundations for cloud computing led to a new approach of reusing what was achieved in GRID computing with support from virtualization. Azure SQL Database Elastic Jobs preview faces a refresh, introducing customer-requested features and additions including Microsoft Entra ID support, Service. Virtualization is technology that you can use to create virtual representations of servers, storage, networks, and other physical machines. 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. , by altering the use of computing resources, to meet a varying workload is called "elastic computing". The technical aspects of the service are fully managed by the provider. Elastic computing is the ability of a cloud service provider to provision flexible computing power when and wherever required. Approach: The streaming service leverages elastic scaling to automatically respond to changes in demand without manual intervention. Cloud Elasticity. 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. An elasticity metric could be used to define and to monitor Service Level Agreements (SLAs), to compare and to benchmark different cloud providers or to improve provisioning and management. Storing data in the cloud allows users to take advantage of new software and services and gain insight into their business operations. Elasting computing is usually associated with scale-out solutions or so-called horizontal scaling, which allow the user to add or remove resources dynamically when it is needed. Computing resources such as CPU/processing,. A key feature of cloud computing is elasticity, which allows the provisioning and de-provisioning of computing resources on. Elastic computing plays a pivotal role in managing the cloud servers in cloud computing. One of the reasons for the popularity of cloud computing is due to its elasticity feature. You can use Amazon EC2 to launch as many or as few virtual servers as you need, configure security and networking, and manage. Some operations which can be performed with cloud computing are –. A cloud service provider (CSP) may implement hyper-converged infrastructure-based horizontal scaling or choose to use virtual distributed services. Cloud load balancing includes holding the circulation of workload. 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. Auto scaling, also referred to as autoscaling, auto-scaling, and sometimes automatic scaling, is a cloud computing technique for dynamically allocating computational resources. In simple words, it is the process of making the most of the technology and minimizing the manual effort. The system’s measure of elasticity estimates how readily the. g. The data which is stored can be files, images, documents, or any other storable document. 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. Elasticity of the EC2. A metric provides knowledge about a cloud property through both its definition (e. First, we present a new, quantitative, and formal definition of elasticity in cloud computing, i. This type of private cloud is managed by a third-party vendor. CSIT 8th semester old question collection :Introduction to Cloud Computing 2072. Step by step Solved in 3 steps. 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. Existing work on elasticity lack of solid and. Cloud Computing Elasticity – Definition The elasticity of cloud computing can be compared to using a flexible rubber band that adjusts according to. While we often use it to refer to a system’s ability to grow, it is not exclusive to this definition. broad network access, resource pooling, rapid elasticity, and measured service. 8. The goal of cloud elasticity is to avoid either over-provisioning or under-provisioning a particular service or application. Cloud is a model of computing where servers, networks, storage, development tools, and even applications (apps) are enabled through the internet. A Static IPv4 address more suited for dynamic cloud computing is called an Elastic IP (EIP) address. Services include storage, networking, analysis, etc. Originating from the field of physics and economics, the term elasticity is nowadays heavily used in the context of cloud computing. 2. Describe on-demand self-service. Rapid elasticity goes like this. Rapid Elasticity: Computing resources can be quickly and automatically provisioned and released at any. e. In simple words, it is the process of making the most of the technology and minimizing the manual effort. It includes a development platform, hard drive, software, and database. The elasticity of cloud computing makes it possible to provide services in varying quantities at any given time. A: The performance cloud in cloud computing refers to a high-performance infrastructure designed to meet demanding computing needs. Rapid Elasticity in Cloud Computing. It eliminates the need for individuals and businesses to self-manage physical resources themselves, and only pay for what they use. Cloud computing resources can scale up or down rapidly and, in some cases, automatically, in. The public cloud provides a rich feature set when providing both IaaS and PaaS. 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. In the coming sections, we provide taxonomy for classifying mechanisms and techniques employed to manage elasticity in. Cloud and edge computing complement each other to form a mutually beneficial and inter-dependent service. What is the difference between elasticity and scalability in cloud computing. In contempt of the importance of load balancing techniques to the best. This. A cloud can be private or public. 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 Scalability vs. Automation is an essential feature of cloud computing. In the cloud, you want to do this automatically. This cloud. 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. It is a composition of multiple independent systems. 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. Other services require vertical scaling. This allows cloud resources, including computing, storage and memory resources, to quickly be reallocated as demands change. Security. This infrastructure improves. PaaS Definition. You need cloud scalability to meet customer demand. The process of adding more nodes to accommodate growth is. 3. In the cloud computing model, theCloud computing is composed of 5 essential characteristics, viz: On-demand Self Service. 1: horizon- tal and vertical. Rapid elasticity. ELB automatically distributes incoming application traffic and scales resources to meet traffic demands. 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. While grid computing is a decentralized executive. Put simply, elasticity is the ability to increase or decrease the resources a cloud-based application uses. Capabilities can be elastically provi- sioned and released, in some cases automatically, to Fig. It is a technology that uses remote servers on the internet to store, manage, and access data online rather than local drives. 1. Top 8 Best Practices for Elastic Computing in 2021. 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. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. It means a cloud service can automatically change its. Key Cloud Computing Drivers: Elasticity (define, plus sub-bullets V and S) Definition. 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. The dynamic adaptation of capacity, e. 2016, 2016 IEEE International Conference on Services Computing (SCC). Originating from the field of physics and economics, the term elasticity is nowadays heavily used in the context of cloud computing. It enables enterprise to manage workload demands or application demands by distributing resources among numerous computers, networks or servers. The provisioning and scheduling processes may take define elasticity as the ability of a system to add. 2. This article explains the. Using Amazon EC2 reduces. David Carty, Site Editor. The final trait highlighted in the NIST definition of cloud computing is "rapid elasticity. Thus, elasticity is a key enabler for economies of scale in the cloud that enhances utility. Storage elasticity is less well known than scalability, but it helps admins with efficiency and cost. PaaS in cloud computing features. e. What is cloud computing, in simple terms? Cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over. By leveraging the benefits of rapid elasticity, organizations can achieve greater flexibility, agility, and cost efficiency in their operations. Elasticity. Although many works in literature have surveyed cloud computing and its features, there is a lack of a detailed. This cloud. , along with the QoS (quality of service); these resources are analogous to. 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. Computing resources such as CPU/processing,. For available resources, capacity planning seeks a heavy demand. Cloud computing is the delivery of computing resources over the internet. Considering the importance of elasticity in cloud computing context, the objective of this paper is to present a comprehensive study about the elasticity. 53. Enter the email address you signed up with and we'll email you a reset link. Elasticity is a ratio of one percentage change to. ”. Utility Computing. 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 provision of security applications and services via the cloud either to cloud-based infrastructure and software, or from the cloud to the customers on-premise systems. , networks, servers, storage,. {"matched_rule":{"source":"/blog(([/?]. The resources in cloud computing infrastructure are virtual machines, virtual memory, virtual CORE, etc. You typically pay only for cloud services you use, helping lower your operating. , the probability that the. It allows customers to outsource their IT infrastructures such as servers, networking, processing, storage, virtual machines, and other resources. Mobile cloud computing is. Now, with the definition of Cloud edge computing system new dimension, the proposed solutions should be revisited and extended to consider the discussed new system’s architecture and. Cloud Elasticity. For many companies, a cloud migration is directly related to data and IT modernization. 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. Rapid elasticity is a cloud computing term for scalable provisioning, or the ability to provide scalable services. 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. The elasticity process should proceed quickly, almost instantly. Elastic computing is the ability of a cloud service provider to provision flexible computing power when and wherever required. , the probability that the computing resources provided by a. 1 shows a cost-related elasticity requirement specified by, e. You need cloud availability to ensure that customers can access your cloud services whenever they need to and from anywhere in the world. Cloud elasticity is the ability to gain or reduce computing resources such as CPU/processing, RAM, input/output bandwidth, and storage capacities on demand without causing system performance disruptions. Broad network access: The Computing services are. When the phrase “the cloud” first began popping up in the early 2000s, it had an esoteric ring. In addition to this, the moment the necessary resource is used, whatever iis no longer useful is eliminated. Define cloud computing and explain the three key terms in your definition. Depending on the service, elasticity is sometimes part of the service itself. Abstract: Elasticity is a fundamental feature of cloud computing and can be considered as a great advantage and a key benefit of cloud computing. Thus, elasticity is a key enabler for economies of scale in the cloud that enhances utility of cloud. These targets could be a fleet of EC2 instances, Lambda functions, a range of IP addresses, or even. Cloud elasticity is a fundamental part of modern cloud computing. Elasticity is one of the most important characteristics of cloud computing paradigm which enables deployed application to dynamically adapt to a. Elastic computing is a concept in cloud computing in which computing resources can be scaled up and down easily by the cloud service provider. Courses. Cloud. Elasticity is typically connected to public cloud resources and is associated with pay-per-use or pay-as-you-grow services. Offers Resilient Computing. Right compute for your workloads. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e. As a result, PaaS frees users from having to install in-house. They are all characteristics of cloud computing: On demand self-services: Computer services such as email, applications, network, or server service can be delivered without needing human interaction with each service provider. Context: In cloud computing, there is a multitude of definitions and metrics for scalability, elasticity, and efficiency. The ability to acquire resources as you need them and release resources when you no longer need them. Cloud computing is a general term for anything that involves delivering hosted services over the internet. It enables enterprise to manage workload demands or application demands by distributing resources among numerous computers, networks or servers. AWS, Microsoft Azure, Google Cloud and other public cloud platforms make resources available to users at the click of a button or API call. Measured Service. Cloud Elasticity enables organizations to rapidly scale capacity up or down, either automatically or manually. e. Broad network access: Cloud capabilities are accessible over the. What Is Elasticity In Cloud Computing? Cloud elasticity is the ability to gain or reduce computing resources such as CPU/processing, RAM, input/output bandwidth,. By 2025, 85% of enterprises will have a cloud-first principle — a more efficient way to host data rather than on-premises. 1. Explain elasticity as it relates to cloud computing. Similarly, Edge and Cloud Computing life cycle is defined around three functions (Figure2, Figure 3). Rapid Elasticity, simply put, is the ability of a cloud infrastructure to swiftly and seamlessly adapt to changing demands by automatically provisioning or de-provisioning resources as needed. Serverless definition. 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. 4. 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 dynamic adaptation of. Service elasticity is a common feature offered by many cloud platforms and virtualized data-centers. Abstract. Cloud load balancing is defined as the method of splitting workloads and computing properties in a cloud computing. Given the numerous overlapping factors that impact their elasticity and the unpredictable nature of the workload, providing accurate action plans to manage Cloud elasticity is a particularly challenging. ”. We can scale down, scale up, and scale out accordingly. g. Elasticity in Cloud Computing: State of the Art and Research Challenges Yahya Al-Dhuraibi, Fawaz Paraiso, Nabil Djarallah, Philippe Merle To cite this version: Yahya Al-Dhuraibi, Fawaz Paraiso, Nabil Djarallah, Philippe Merle. g. 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. Data backup with elasticity-enabled Cloud imparts flexibility and supports continual disaster recovery. An elastic cloud is a cloud computing offering that provides variable service levels based on changing needs. However, elasticity still lacks a. 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 some streaming platforms, users seamlessly switch between rentals and purchases. Cloud Edge Computing Elasticity. It’s the cloud’s way of saying, “I’ve got you covered, no matter what. Elastic Load Balancing (ELB) is a load-balancing service for Amazon Web Services (AWS) deployments. A change of configuration is also possible with a short reaction time by the provider. According to NIST definition of cloud computing, it has five characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service, while mobile computing focuses on device mobility and context awareness considering networking and mobile resource/data access. Cloud computing has revolutionized the way businesses and individuals access, store, and process data. Elasticity is one of these key features. A user can provide computer capabilities (e. IaaS is one of the four types of cloud services, along with software as a service ( SaaS ), platform as a service ( PaaS ), and serverless. This is one of the main benefits of using the cloud — and it allows companies to better manage resources and costs. For Cisco, speed and accuracy are crucial to rectifying customer service requests. Which of the following is NOT a driver for use of cloud computing? Use of specialized computing hardware. Elasticity is considered to be the most beneficial characteristic of cloud environments, which distinguishes the cloud from clusters and grids. Cloud scalability in cloud computing refers to increasing or decreasing IT resources as needed to meet changing demand. It monitors the health of its registered targets, and routes traffic only to the healthy targets. Experts point to this kind of scalable model as one of five fundamental aspects of cloud computing. Data storage capacity, processing power, and networking can all be increased by using existing cloud. One of the great things about cloud computing is the ability to quickly provision resources in the cloud as manufacturing organizations need them. Automation. Cloud computing offers secure on-demand storage, servers, databases, networking, and software accessible over the internet (the cloud). . The National Institute of Standards and Technology (NIST) includes rapid elasticity as an essential characteristic of its definition of cloud computing: “Rapid elasticity. 1. Clouds are complex systems that provide computing resources in an elastic way. Other Important Benefits of Cloud Computing. These 5 characteristics of cloud computing are what make the technology the most buzzing and in-demand technology of today. Cloud agility, on the other hand, implies a value statement as it is defined as the ability to create, test, and deploy applications and software in the cloud quickly, often in response to market changes. Click the card to flip 👆. Cloud computing lets you focus on your own customers, rather than on the heavy lifting of racking, stacking, and powering servers. One key challenge in cloud elasticity is lack of consensus on a quantifiable, measurable, observable, and calculable definition of elasticity and systematic approaches to modeling, quantifying, analyzing, and predicting elasticity. 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. Growing demand for cloud computing professionals. 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. 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. , deploying and allocating more IT resources than necessary to. As an attempt to fill this gap. The concept of elasticity has been transferred to the context of cloud computing and is commonly con-Cloud security refers to the processes, mechanisms and services used to control the security, compliance and other usage risks of cloud computing. This cloud model promotes. The elasticity afforded by the cloud platform also enabled the bank to dynamically scale almost 100 percent of its applications up and down based on customer demand. Let’s explore some key. Elasticity is “The ability to acquire resources as you need them and release resources when you no longer need them. To describe a “measured service”, one needs to identify the cloud service properties that have to be measured and what their standards of measurement or metrics are. While it is a Distributed computing architecture. Define elasticity as it pertains to cloud computing. In conclusion, rapid elasticity is a critical aspect of cloud computing that allows businesses to scale their resources dynamically, optimize costs, and quickly respond to changes in demand. In the cloud, you want to do this automatically. 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. 1 In this paper, cloud. By. They can be reached by authorized businesses and users with an internet connection. Millions of. Abstract. . 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. In both cases, elasticity is an intuitive concept and can be precisely described using mathematical formulas. ”. In simple terms, cloud computing allows you to rent instead of buy your IT. Load balancing techniques cater the solution for load unbalancing situation for two undesirable facets- overloading and under-loading. e. Cloud Scalability vs. How does cloud computing help scalability?Infrastructure as a service. EBS offers the same high availability and low-latency performance within the selected. Marc Staimer, Dragon Slayer Consulting. Again, as with the elasticity of demand, the elasticity of supply is not followed by any units. The ability of cloud computing to automatically install, configure and maintain a cloud service is known as automation in cloud computing. 2. (For those who want more. Cloud computing is a Client-server computing architecture. 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. Elasticity. A beginner’s guide. Elastic computing is a subset of cloud computing that involves dynamically operating the cloud server. Elasticity. Some of the key differences between cloud models are like the different ways people stream digital movies and television shows. 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. And then to remove them when they don’t need them. , networks, servers, storage, applications and services) that. We are the first major cloud provider that supports Intel, AMD, and Arm processors. Data security: Hardware failures do not result in data loss because of networked backups. 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. 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. Engineers study application behavior during software testing to maintain a. AWS Elastic Beanstalk: a web platform for software deployment and management, powered by the. PaaS in cloud computing features. Put simply, elasticity is the ability to increase or decrease the resources a cloud-based application uses. S. Growing demand for cloud computing professionals. Efficiency. The term elasticity in cloud computing is directly related to response time (a server takes towards user request during resource providing and de-providing. Scalability and elasticity in cloud computing are similar and often work together, though they have different definitions. Customers access these resources on the Internet using a pay-as-per use model. For the majority of this guide, we’ve chosen to keep things simple by using on-premise non-cloud scaling for our examples. If you have an iPhone, you've likely backed up its contents to iCloud. Rapid Elasticity. Resource pooling. These services are divided into three main categories or types of cloud computing: infrastructure as a service ( IaaS ), platform as a service ( PaaS) and software as a service ( SaaS ). 0, service orientation, and utility computing. Cloud elasticity is the process by which a cloud provider will provision resources to an enterprise’s processes based on the needs of that process. Learn more. 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.