The elasticity process should proceed quickly, almost instantly. The examples of cloud computing are everywhere from the messaging apps to audio and video streaming services. Cloud elasticity is used as a benchmark for improving cloud computing performance. Rapid elasticity. One example is Rapid Elasticity, which refers to the ability of cloud services to be elastically provisioned and released, typically following the demand. an example, a cloud customer can rent a. Cloud scalability. A. D. 3 Measured Service. Measured Service. On-demand self-service: This is the ability to provision a cloud resource on demand without requiring any human interaction with the service provider. cloud computing, Regarding the IT infrastructure ecosystem, Microsoft Windows, Unix, and Mac OS X are examples of ________. Measured Service. 2. On-demand self-service. Rapid elasticity Rapid elasticity is (nearly) exactly what it says on the tin. Example. - [Instructor] Rapid elasticity is a cloud computing characteristic. Rapid Elasticity . 21. On-demand self-service: A consumer can unilaterally provision computing capabilities, such as server. This is a service that provides on-demand resources such as server instances, data storage, databases, or applications. ) without it negatively affecting performance. Because the cloud is elastic, you will only be given the assets needed to run that application. Rapid elasticity is an essential cloud characteristic, along with on-demand self-service, broad network access, resource pooling, and measured service. Cloud computing customers do not own the physical infrastructure; they rent the usage from a third-party provider. We’re probably going to get higher seasonal demand at Christmas time. Learn vocabulary, terms, and. show more content…. A) Open Finder and then open the iCloud Drive. Each correct answer represents a complete solution. Customers generally have no control or knowledge of. . Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e. When demand is low, you can reduce resources and therefore avoid paying excess fees. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction “. Cloud services have a lot to know about. Another prime benefit of cloud elasticity is paying only for the computing, networking, and storage resources that you actually use, offering the opportunity to save substantial IT investment capital formerly wasted on paying for idle resources. Cost-effective. Cloud Elasticity can be triggered and executed automatically based on workload. The findings. Cloud computing is a model for enabling convenient, on-demand network access to a shared. Conversely, when demand is high, you can rapidly scale up to accommodate needs without overloading your systems. 1. Rapid elasticity in cloud computing allows infrastructure to expand or contract in response to demand fluctuations, ensuring that businesses can scale their operations seamlessly without being encumbered by fixed capacities. Essential characteristic of cloud computing. How Do the 3 Cloud Computing Service Models Differ? The three cloud service models mainly differ in what they offer out of the box. Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e. To understand multitenancy, think of how banking works. Clouds Computing or the Necessary characteristics of cloud services belong On-demand self- service, Broad network zugangs, Resource pooling, rapid elasticity. Rapid Elasticity • Consumers can adapt to variationsin workloads and maintain required performance levels • Consumers may be able to avoid excessive costs from over-provisioning resources Module: Introduction to Cloud Computing Capabilities can be elastically provisioned and released, in some casesPay only for what you use. Rapid Elasticity d. DISTRIBUTED COMPUTING 1 Securing Elasticity in the Cloud Elastic computing has great potential, but many security challenges remain. Rapid elasticity and scalability. Underneath I portray the three types of versatility as I see them, depicting what makes them not quite the same as one another. The Panel discussed the Options. Rapid elasticity and scalability. , country, state, or datacenter). PaaS helps developers build customized applications via an application programming interface that can be delivered. (e. Updates are more viable with devices and perform faster than previous versions. Economical. Lesson 06: is Rapid Elasticity? - Lesson 05To learn more about "A Practical. Rapid elasticity You work for a small startup company that just hired five new employees, doubling its number of team members. broad network access, (3) resource pooling, (4) rapid elasticity and (5) measured service. Pay only for what you use. This feature swiftly scales the resources to meet the varying demand. Cloud computing is now a well-consolidated paradigm for on-demand services provisioning on a pay-as-you-go model. Elasticity is used to meet dynamic changes, where the resources need can increase or decrease. Broad network access. They just need basic knowledge of computers. Amazon’s Elastic Cloud Computing (EC2) is a facility for providing virtual servers. Resource pooling. It is one of the layers of the cloud computing platform. When a user requests services, they are given, and the service is scaled down once the user’s needs are met. D) Log on to icloud. " Access to resources in the cloud is available over multiple. 1 On-demand service. 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. This is a service that provides on-demand resources such as server instances, data storage, databases, or applications. Capabilities can be rapidly and. Cloud computing is the delivery of computer resources like data storage via the internet. Elasticity is a fundamental property in cloud computing that has recently witnessed major developments. ”. This cloud model promotes. On-demand service, remote accessibility through a variety of networks, resource pooling, rapid elasticity and measured service are the key characteristics of cloud computing. See full list on javatpoint. Since cloud computing began, the world has witnessed an explosion of cloud-based applications and services in IT, which continue to expand. g. Cloud computing is defined by five essential characteristics: resource pooling, broad network access, on-demand self-service, rapid elasticity, and a measured service. Cloud computing services allow businesses and their clients to do their work seamlessly. This paper. Cloud scalability has many examples. To explain elasticity in the cloud, let’s look at the example of storing and running an application in the cloud. Data backup with elasticity-enabled Cloud imparts flexibility and supports continual disaster recovery. Conclusion. The rapid evolution of deep learning (DL) in the artificial intelligence (AI) domain has brought many benefits that can be utilized to address industrial security issues in the cloud. Cloud Elasticity can also refer to the ability to grow or shrink the resources used by a cloud-based application. Multitenant architecture is a feature in many types of public cloud computing, including IaaS, PaaS, SaaS, containers, and serverless computing. Cloud computing provides rapid elasticity, which refers to its ability to scale quickly to meet demand. Cloud Computing. Automated Resource Allocation. And still, you wish to know. 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. Which cloud computing characteristic is synonymous with pay-as-you-go? A)Broad access. Broad network access:. The function Elastic Computing Cloud got its name from is elasticity. Q2. 1. Cloud Computing. In on-demand self service,the user accesses cloud services through an online control panel. 1. This. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. In 2021, almost every small and large. Cloud is a model of computing where servers, networks, storage, development tools, and even applications (apps) are enabled through the internet. Scalable software can be easily copied for use in multiple servers deployed in multiple network environments. Third, the decentralized cloud is more reliable. If you see the cloud as an operating model – sure is the cloud the right place to host your applications! Smart in this context is that the application landscape is understood, and depending on each application. The arrival of the Internet of Things (IoT) paved the way for vast. Rapid elasticity is only suitable for a domain whose resource requirements suddenly up and down for a specific time interval. Otherwise, one would be able to use the cloud service only from a limited set of platforms. Prediction 4: Cloud computing takes off in emerging economies Much of the angst about what form of cloud computing end-user organizations should use (see End User Predictions below. Cloud computing provides a way to store and access data from anywhere by connecting applications using the Internet. In order to qualify as a Cloud compatible service, the Infrastructure, Platform, and Software must meet the NIST guidelines listed below. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. 1 Rapid elasticity A cloud is said to be elastic [49] if the resources it provides can be provisioned and deprovisioned dynamically and automatically. Industries and application providers have moved or plan to move to clouds in order to focus on their coreBeing a cloud computing provider doesn’t mean just supplementing IT resources, it means providing strategic, core information technology. C. On-demand self service resource sourcing is a prime feature of most. Scalability is one of the hallmarks of the cloud and the primary driver of its exploding popularity with businesses. This, again, is potentially confusing since the term elasticity has been listed as an essential characteristic of cloud computing from the beginning 6,9,24,34 with, for example, the NIST Definition of Cloud Computing 34 speaking of rapid elasticity defined as "capabilities [that] can be elastically provisioned and released, in some cases. This cloud model promotes availability and is composed of five essential characteristics (On. Most people, when thinking of cloud computing, think of the ease with which they can procure resources when needed. for example, a company or government, and it is accessed by only authorized users within that organization. Rapid elasticity: Rapid elasticity deals with the ability to expand or decrease the capacity of cloud resources as necessary. The charges for the services tend to be quite low. Rapid Elasticity. Iaas is also known as Hardware as a Service (HaaS). Brian Curtis. This article reviews both classical and recent elasticity solutions and provides an overview of containerization, a new technological trend in lightweight virtualization. What is cloud scalability vs. The final trait highlighted in the NIST definition of cloud computing is rapid elasticity. Resource pooling. For example, Google app engine and Openshift. Test. 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. ) Measured service C. -. Here we will examine the primary goal of rapid cloud elasticity. - [Instructor] Rapid elasticity is a cloud computing characteristic. Rapid Elasticity. The public cloud enables companies to tap into remote computing resources. Otherwise, one would be able to use the cloud service only from a limited set of platforms. If you have an iPhone, you've likely backed up its contents to iCloud. Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to. g. 5. So, the main objective to adopt cloud computing here is to provide rapid elasticity. Public clouds are operated and owned by third-party providers. It is the third-largest cloud platform that powers Machine Intellect, Google. While the advantages of cloud computing is: (1) without any. Computing resources such as CPU/processing, memory, input/output. AWS offers over three dozen cloud services spanning the IaaS, PaaS, and SaaS models of cloud computing, and is the most popular cloud service provider, with nearly 30% global. 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. For example, server overloads and outages would result from delaying expansion. Another example of cloud computing in action is the use of IaaS clouds for web hosting and application development. 7. 2. And in the cloud, resource pooling is a multi-tenant process that depends on user demand. For example, you can free up your IT staff to focus on core business functionality rather than scalability. Cloud elasticity and scalability optimize the infrastructure and ensure that the organizations keep up to the compliance levels. A. These capabilities should be elastically scalable both outward and inward in accordance with demand, whatever the quantity of resources required, and at any time. Cloud Elasticity Use Cases and Examples. Rapid elasticity B. Multiple people can store their money in one bank, and their assets are completely separate even though they are stored in the same place. Three Service Models – Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), and infrastructure-as-a-Service (Iaas). Cloud elasticity is a fundamental part of modern cloud computing. Rapid elasticity in cloud computing uses increased automation in your IT environment, which has many benefits. A key feature and advantage of cloud computing is its rapid scalability. Essential characteristic of cloud computing. Study with Quizlet and memorize flashcards containing terms like In cloud computing, how does a business benefit by the ability to scale resources on demand. Elasticity is a fundamental property in cloud computing that has recently witnessed major developments. [] Measured service [] On-demand self-service [] Broad network access [] Rapid elasticity. With the term “fine grain”, they point to the granularity of one server at a time; however, they. The age of automation has arrived, allowing businesses to automate more of their processes. In preparation for the new employees' first day in the office, you add five new user accounts to your CRM (customer relationship management) software subscription, a service that is hosted in the cloud. Cloud computing is a promising technology that is expected to transform the healthcare industry. In cloud computing, the term "Measured service" refers to a billing model in which gaining access to resources does not require payment of a flat fee. Real-world Examples of Cloud Computing Success. Conclusion of Cloud Elasticity in Cloud Scalability. We would like to show you a description here but the site won’t allow us. Each characteristic may be used once, more than once, or not at all. 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. One example of a challenge faced in achieving elasticity in cloud computing is resource allocation and management. com These examples showcase how rapid elasticity, facilitated by leading cloud providers, empowers organizations to meet fluctuating workloads efficiently, delivering superior user experiences while managing costs effectively. Cloud elasticity in cloud computing is a necessity for any infrastructure or applications that may experience sudden bursts in popularity—for example, websites for auctions or concert tickets that. Rapid elasticity in cloud computing is a feature that allows users to quickly and easily adjust their computing resources. C. b. So for this specific period of time, the. Rapid elasticity Measured service On-demand self-service Resource pooling. 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. There are five main characteristics of cloud computing that make this technology easy to use and affordable. Rapid elasticity: Cloud computing provides elastic and fast computing capacity that facilitates instant scaling out and quick release too fast scaling in. NIST Definition of Cloud Computing : ”Rapid elasticity: Capabilities can be. Cloud scalability in cloud computing refers to the ability to increase or decrease IT resources as needed to meet changing demand. Resource Pooling. 5. Elasticity [91] is a wellestablished concept in Cloud Computing, and it defines the ability of a system to adapt its resources to the workload variations by autonomously provisioning or. Conclusion of Cloud Elasticity in Cloud Scalability. Which of the following is NOT a driver for use of cloud computing? Use of specialized computing hardware. Cloud computing have high interest from companies . Which Cloud characteristic refers to the ability of a subscriber to increase or decrease its computing requirements as needed without having to contact a human representative of the Cloud provider? A. Being able to adjust available CPU resources depending on the dairy loadScaling the network, load balancers and other infrastructure tools like monitoring is needed when the system grows to surpass their capacity [60]. Types & Examples; Cloud Computing Model: Characteristics & Descriptions; Cloud Service. 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 ). Also, as more and more people start using such SaaS services as service providers. In the cloud world, a multitenant cloud architecture. It is one of the scalable parts ofcomputing. Cloud computing refers to the different computer system resources that are always available to a client when needed from any remote location, usually in regards to data storage and computing. Cloud deployment. To understand multitenancy, think of how banking works. Another prime benefit of cloud elasticity is paying only for the computing, networking, and storage resources that you actually use, offering the opportunity to save substantial IT investment. Find out the advantages of cloud computing and its benefits you can bring to your business. Measured Service. However, still, there might be some confusion in your mind. This article reviews both classical and recent elasticity solutions and provides an overview of containerization, a new technological trend in lightweight virtualization. In the cloud, you want to do this automatically. 2 Resource pooling or Multitenancy. Rapid elasticity: Cloud comp uting resources can be rapidly scaled up or down to mee t . Elasticity. Some popular examples of fog computing include . Referring to the question the online retailer wants to migrate to public cloud services during peak season, then wants it to be removed "automatically" when the peak is over. Google Cloud Platform. Cloud computing public – private. Five Essential Characteristics – On-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Q1. In this section, we give you the basics of what you need to know. In addition, in large-scale cloud data centers, tens of thousands of compute and storage nodes are connected by a data center network to deliver a single-purpose cloud service. Rapid elasticity: Unlike on-premise hardware and software, cloud computing resources can be rapidly increased, decreased, or otherwise modified based on the cloud user’s changing needs. A. Rapid elasticity. Data storage capacity, processing power and networking can all be scaled using existing cloud. B)Rapid elasticity. This cloud model is composed of five essential characteristics: On-demand self-service. Data: Information. Here cloud platform offers many benefits to users cloud-based data storage, transfer of application and management storage. The quicker a cloud provider can allocate varying resources to dynamic customer demands, the more elastic its cloud services are. , networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. Measured Service. In a. Cloud Computing. A simple example of horizontal scaling in AWS Cloud is adding/removing Amazon EC2 instances from your application architecture behind Elastic Load Balancer. Amazon EC2 provides scalable computing capacity in the AWS cloud. Cloud computing pools a provider's computing resources to serve multiple customers using a multi-tenant model, with different physical and virtual resources assigned and reassigned according to customer demand. Which of the following is not an example of cloud computing?. Oracle Cloud Platform. Able to scale outward and inward according to demand. Rapid elasticity. FaaS. Unlike elasticity, which is more of makeshift resource allocation – cloud scalability is a part of infrastructure design. For example, a cloud provider might offer a third party service that provides users with access to a software application. The National Institute of Standards and Technology (NIST) includes rapid elasticity as an essential characteristic of its definition of cloud computing: “Rapid elasticity. Leveraging it enables organizations to develop and deploy applications faster, without needing to invest in hardware upfront. Cloud Elasticity can be triggered and executed automatically based on workload. Computer hardware consists of technology for computer processing, data storage, input, and output, such as large mainframes, servers, midrange computers, desktop and laptop computers. Abstract. B) Go to the Apple menu, select System Preferences, then select iCloud. Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e. Cloud Computing and the Essential characteristics of cloud services are On-demand self- service, Broad network access, Resource pooling, rapid elasticity. It means your business can increase or decrease its computing resources as needed, enabling you to avoid setbacks and unnecessary expenses. 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. Figure 1-1. Click the card to flip 👆. Elasticity. Elasticity. Physical control over data B. What is Cloud Scalability? Cloud scalability is the ability of a cloud computing system to adapt to changing computing requirements by either increasing or decreasing its resources, such as computing power,. 3. The ability to acquire resources as you need them and release resources when you no longer need them. Essential Characteristics of Cloud Computing NIST has identified five essential characteristics of cloud computing: on -demand service, broad network access, resource pooling, rapid elasticity, and measured service. E. Multitenant architecture is a feature in many types of public cloud computing, including IaaS, PaaS, SaaS, containers, and serverless computing. This cloud model includes the five essential characteristics of cloud computing: On-demand self-service. For example, a cloud user may rent computing power, memory and data storage devices and run an operating system with applications of their choice on it. It defines Cloud Computing as “ a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e. By. Study with Quizlet and memorize flashcards containing terms like Cloud Computing Characteristics, Multi-tenancy, Compute Services and more. Rapid Elasticity: The services can be provided rapidly and elastically, in some cases also automatically. 1. Broad network access plays a vital role in facilitating connectivity, resource accessibility, and mobility within the cloud computing landscape. Cloud Scalability vs. 1. Right-sized infrastructure is also something that these two bring along. Which of the following cloud models is this an example of?Iaas is also known as Hardware as a Service (HaaS). Elasticity is a landmark of cloud computing and it implies that manufacturing organizations can rapidly provision and de-provision any of the cloud computing resources. • Rapid elasticity. Scalability is one of the hallmarks of the cloud and the primary driver of its explosive popularity with businesses. 5 Ubiquitous Access. Rapid provisioning of resources. Karakteristik cloud computing wajib selanjutnya bernama rapid elasticity. Abstract. B)Encryption. 1. 15. The pros of cloud elasticity include: High availability and reliability: Cloud elasticity allows users to enjoy a highly consistent, predictable experience, without the risk of services failing or becoming unavailable. Cloud computing is so successful because of its. upvoted 2 times. Cloud Computing refers to providing computing and communications-related services with the aid of remotely located, network-based resources without a user of such resources having to own. Cloud computing is so successful because of its simplicity in its usage. What is community cloud example? Community cloud is a cloud infrastructure that allows systems and services to be accessible by a group of. Choose all that apply. Below are some of rapid elasticity in cloud computing examples: 1. Rapid Elasticity Measured Service On-Demand Self-Service Essential Characteristics Models Deployment Models Platform as a Service (PaaS) Infrastructure as a Service (IaaS) Resource Pooling National Institute of Standards and Technology (NIST) Cloud Computing Model Based on the U. In other words, you've connected your device to the internet to store and manage data across your Apple devices. AWS Elastic Compute Cloud (EC2) is an example of an IaaS cloud platform that. Elastic computing is the ability of a cloud service provider to swiftly scale the usage of resources such as storage, infrastructure, computer processing, CPU memory,. Rapid Elasticity in Cloud Computing. B. Rapid elasticity (1) Let's step through these of these concepts individually. Rapid Elasticity is one of the critical features of Cloud Computing. Rapid elasticity: It indicates provision of resources on demand. Abstract. Automation capability. Rapid elasticity. Rapid Elasticity. Rapid elasticity – Describes the. Resource pooling is an IT term used in cloud computing environments to describe a situation in which providers serve multiple clients, customers or "tenants" with provisional and scalable services. Elasticity [91] is a wellestablished concept in Cloud Computing, and it defines the ability of a system to adapt its resources to the workload variations by autonomously provisioning or. Cloud providers also offer rapid elasticity—the ability to add more servers as needed without having to wait until they become fully utilized before adding new ones. In preparation for the new employees' first day in the office, you add five new user accounts to your CRM (customer relationship management) software subscription, a service that is hosted in the cloud. Besides promoting cost efficiency, it also facilitates resource optimization. Thus, in most of the. These capabilities should be elastically scalable both outward and inward in accordance with demand, whatever the quantity of resources required, and at any time. Physical control over data. Explore these eight key characteristics of cloud computing that explain why it's the go-to destination for building and deploying modern applications. Cloud scalability in cloud computing refers to the ability to increase or decrease IT resources as needed to meet changing demand. System scalability is the system’s infrastructure to scale for handling growing workload requirements while retaining a consistent performance adequately. So an important cloud computing characteristic is the ability to measure how much of these services are in use. In the National Institute of Standards and Technology (NIST) formal definition of cloud computing, rapid elasticity is cited as an essential element of any cloud. g. Examples of resources include storage, processing, memory, and network bandwidth. Experts point to this kind of scalable model as one of five fundamental aspects of cloud computing. Rapid elasticity ; Measured service ; Broad network access is what makes the cloud available to any device from any location. To user the capabilities available for provisioning can appear unlimited and can be got at anytime. cloud computing has five main characteristics: resource pooling, broad network access, rapid elasticity, on. Rapid Elasticity in Cloud Computing and significants - Rapid Elasticity in Cloud Computing - Studocu. Measured service. Customers access these resources on the Internet using a pay-as-per use model. Latency. Users can launch virtual servers, configure security and networking, and manage cookies from an intuitive dashboard. This is only one aspect to elasticity. A. Cloud computing customers achieve not proprietary the physical infrastructure; they rent the usage from a third-party provider. Cloud allows network-based access to communication tools like emails and calendars. However, accurately predicting demands can be complex, leading to either underutilization or overprovisioning of resources. Metrology is the use of technology and other means to achieve unity and accurate and reliable measurement. Businesses are restructuring to embrace the various benefits of. Cloud servers are easy to maintain with low to almost. Rapid Elasticity is one of the critical features of Cloud Computing. This cloud. Which of the following fall(s) under the “essential characteristics” of cloud computing? a. Rapid Elasticity merupakan sebuah karakteristik dimana kapabilitas (kemampuan) dari layanan cloud provider bisa dipakai oleh cloud consumer secara dinamis berdasarkan kebutuhan. The figure illustrates the related elements that come together to create clouds. g. Elasticity in cloud computing allows you to scale computer processing, memory, and storage capacity to meet changing demands. g. For example, improved knowledge about the cloud services does not provide SMEs with. Rapid Elasticity: Cloud computing resources can be scaled up or down quickly and easily in response to changing demands. Vulnerability exists when there is a. Which of the following is the BEST example of rapid elasticity In cloud computing? A. Cloud computing resources can scale up or down rapidly and, in some cases, automatically, in response to. Cloud computing involves providing a service over the Internet, on-demand and utility computing, distributed systems, and data processing for resource pooling, scalability, rapid elasticity, and rapid recovery from failure. - Rapid elasticity or cloud elasticity is used in cloud computing to get scalable provisioning. 9. Cloud Rapid Elasticity Example 2. The shift to cloud computing amplified by COVID-19 and remote work has meant a whole host of benefits for companies: lower IT costs, increased efficiency and reliable security. The growth and use of public cloud services is one of the most significant changes in corporate computing history. Resource pooling. What aspect of cloud computing has worked to your advantage? a. rapid elasticity and measured service; Three service models—Software as a. On Demand self service broad network access resource pooling rapid elasticity and consumption based pricing. Abstract and Figures.