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Metaphorical Revise of Cloud Service Platforms

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Metaphorical Revise of Cloud Service Platforms Metaphorical Revise of Cloud Service Platforms Prof. Reena S. Satpute Assistant Professor G. S. College of Commerce, Wardha Abstract: 21st century has come up with gigantic revolution in term of technology. In the present epoch, most of the world is connected through internet. Recent advancements in the field of computer network made possible for us, to access anything which is stored on WWW, from anywhere, through internet. A quantity of technologies like Cloud Computing, Internet of Things (IoT), Machine Learning, Data Science has made drastic change in many applications. Talking about internet based applications & with their resources, Cloud computing is the best solution to provide effortless access. Cloud computing is the latest computing model where IT services and applications are served over world-wide-web. On- demand services are relatively faster to deliver. They are demanded over internet and are enlightened as internet-centric software. Cloud is also capable of providing scalability for applications by providing virtualized resources dynamically (1). Though we have variety of Cloud Service Platforms available but widely platforms are Amazon Web Services, Google Cloud, Windows Azure platform, Alibaba Cloud & IBM Bluemix etc. Here, I am presenting a comparative study among five cloud service platforms so that choosing the optimal one for deployment and research development turn out to be easy. The objective of this study is to present the learner with the knowledge of various platforms so that they can choose whichever is suitable to them. Keywords: Alibaba cloud,Cloud, Cloud stack, Scalable, IBM Bluemix, ,Google App Engine, Web Azure INTRODUCTION “Cloud” is a latest development in the field of internet computing which allows users to access internet based application and resources from anywhere in the world through internet. These services are accessed by general internet protocols and networking principles. In case of Cloud Computing, resources are virtual and even unlimited. Moreover, configurations of machines on which cloud related software runs, are abstracted from the end-user. Cloud computing is the latest computing model where IT services and applications are served over world-wide-web(2). 248 Figure 1) Cloud Platforms When an in-house application ready to be exported to third party cloud is developed, much of application’s prerequisites already exist there. A Cloud based OS provides fundamental support for implementation of the application, interacting with storage, meanwhile other machines in the surroundings offer services such as remote storage. Development teams who wish to create a cloud app must call for a cloud platform which provides cloud based services for creating other supporting apps. BACKGROUND HISTORY A short overview of cloud computing environment is provided in this section as background. It formally defines cloud computing, presents various cloud computing platforms followed by related work and comparative revision with closing annotations to end with. A. Cloud Computing The term cloud is analogous to internet and in a relaxed way these can be used interchangeabily. Therefore, cloud computing refers to “a type of Internet-based computing,” where diverse services like servers, storage, and applications are delivered to machines and devices through the Internet(3). Cloud Computing facilitates real time network access to a distributed pool of configurable computational resources such as networks, servers, memory, apps, and services. Cloud services are meant to purchase the services instead of hiring them. According to famous cloud scientist and researcher Buyya and his team [1]: “Cloud is a parallel and distributed computing system consisting of a collection of inter-connected and virtual machines that are dynamically provisioned and presented as one or more unified 249 computing resources based on service-level agreements (SLA) established through negotiation between the service provider and consumers.” Cloud computing environment is shown in Figure 2). Figure 2) Cloud Computing Environment In the 21th century, cloud computing has possibly emerged into number of fields. The main attraction towards cloud computing explores its fundamental benefits as below: Minimized costs Easy access Data backup Data centralization Sharing capabilities Security Free storage Quick testing Enhanced flexibility Dependability B. CLOUD COMPUTING PLATFORMS In the current era, cloud computing became heart and soul of any organization. To inculcate this requirement cloud computing plays very important role (4). Cloud computing platforms basically possesses the five characteristics as below: 1) On-demand self-service. A consumer can unilaterally provision computing capabilities, 250 such as server time and network storage, as needed automatically without requiring human interaction with each service provider. 2) Broad network access. Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, tablets, laptops, and workstations). 3) Resource pooling. The provider's computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. 4) Rapid elasticity. Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the capabilities available for provisioning often appear unlimited and can be appropriated in any quantity at any time. 5) Measured service. Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported, providing transparency for both the provider and consumer of the utilized service. There have been number of comparative studies reported on comparison of cloud computing systems. This section introduces some cloud platforms with their comparative study. 1. Amazon Web Services “Amazon Elastic Compute Cloud” also known as Amazon EC2 offers scalable computing in the “Amazon Web Services (AWS)”. It provides “as and when required” computing resources and services and that too in the cloud, with “pay-as-you-go” costs (5). It allows users to manage the scale in order to handle the fluctuations in needs or spikes in popularity, thus we do not need to forecast traffic. Some common uses of AWS are as follows: Public or Private data storage. 251 Static or a Dynamic website hostage. Support for students to do online training programs like MOOCs. Processing business and scientific data. Handling peak loads with ease. 2. Google App Engine GAE is a PaaS that enables us to implement and execute apps on Google’s universally available infrastructure. These applications are “easy to build”, “easy to maintain”, and “easy to scale” as the traffic and data storage requirements alter. With App Engine, we do not have to maintain any servers(6). We just upload our app and it is ready to go within few seconds. GAE easies “build and deploy” of an application, and due to app engine only, applications runs reliably, even if there is heavy load and traffic. It includes the following characteristics: Constant storage with sorting, queries and transactional capabilities. Real time load balancing. Auto Scaling Asynchronous job queues for executing tasks even outside the scope of a request. Scheduled tasks for triggering activities at prior known timings or regular intervals just like in a round robin manner. Integration with other Google cloud services and Application Program Interfaces. 3. Window Azure Microsoft’s Window Azure is a set of tools, each one offering a particular collection of services to App. Developers; providing a well-known and flexible setting to drive and support specific requirements and services of the developers’ team, customers and users. It comprises of following four components. Windows Azure : This is a Windows environment for executing apps; storing data and information on machines; specifically in data-centers. SQL Azure : Presents relational data services in the cloud; based on Microsoft’s SQL Server. 252 Windows Azure AppFabric : AppFabric being a set of Cloud-based infrastructure services runs apps either over the cloud or on-premises. Windows Azure Marketplace: Marketplace is an online store for buying cloud data and apps. 4. IBM Bluemix: IBM Bluemix is the cloud computing solution from IBM that comes with the platform (PaaS) as well as infrastructure as a service (IaaS) offerings. With Bluemix IaaS, users can deploy and access virtualized compute power, storage and networking using the internet. The IBM service offerings can be used as a public, private or hybrid model whichever suits an organization’s need (7). The IBM Bluemix PaaS is based on an open source cloud platform - Cloud Foundry. IBM services can be used by developers to create, manage, run and deploy scalable applications for both public cloud and on-premises environments. The programming languages that are supported by IBM Bluemix include Java, Node.js, PHP, and Python. The solution can even be extended to support other languages. 5) Alibaba: Alibaba Cloud is the cloud initiative of the Chinese eCommerce giant - Alibaba Group. The Alibaba services dominate
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