Elasticity Of Cloud Computing

International Journal of Cloud Computing: Peer-reviewed open access journal, it publishes research crossing all aspects of Cloud Computing. Basically centered around center components, including Cloud applications, Cloud systems and the advances that will prompt the Clouds without bounds, the journal will likewise show review and survey papers that present new bits of knowledge and establish the frameworks for encouraging exploratory and experimental work. The journal disseminates research that imparts progressed hypothetical establishing and functional application of Clouds and related systems, as empowered by mixes of web-based programming, advancement stacks and database availability and virtualized equipment for storing, handling, analysis and visualizing data. A scope will look at Clouds nearby such different standards as Peer to Peer (P2P) figuring, Cluster processing and Grid registering. Scope reaches out to issues of administration, governance, trust and

Cloud computing is an attracting technology in the field of computer science. Cloud computing is an on demand service in which shared resources, information, software and other devices are provided according to the clients requirement at specific time. It’s a term which is generally used in case of Internet. The whole Internet can be viewed as a cloud.

Cloud computing is innovative which uses well advanced computational power resource and gigantic improvement in storage capabilities, Cloud is the long dreamed vision of computing utilities, which helps in enable ling the sharing of

Amazon Web Services (AWS) is a provider of infrastructure web services that are offered through the cloud. One of the primary and most attractive features of the AWS infrastructure is that it is incredibly affordable since organizations can pay per use. This makes the services attractive to smaller organizations that do not have the capital for expensive IT infrastructure projects. Not only can applications be offered as a service (SaaS) but an effectively unlimited amount of data can also be stored online through Amazon Simple Storage Service (Amazon Web Services, 2012).

The Important of Cloud Computing is increasing and it is receiving a growing attention in Scientific & Industrial Communities. Cloud computing is one of the top 10 most important technologies and has a greater possibility in successive years by companies and organizations. Cloud computing implement everywhere, favourable, on demand network access to a shared pool of configurable computing resources (e.g. networks, servers, storage, applications and servers) that can be immediately supply and released with minimal management effort.

In the academic field, projects like Virtual Computing Laboratory, Distributed University Campus and Seattle have been built for the purpose of educational platforms. Also, research platforms, such as the IBM/Google Academic Cloud Computing Initiative started with the emergence of Cloud Computing. In library computing, which is one of the most important academic activities, DuraCloud and WorldCat Cloud-based projects have started cutting down library computing costs. In the Scientific Computing research field, sophisticated projects like HPC, Large images processing, e-Science for Neuroscience are now moving to a better transition since the emergence of Cloud

System performance is one of the most important metrics to measure system efficiency. Organizations that need high-performance computing such as scientific ones can use cloud computing to perform their tasks faster. In the cloud there are many machines works together in parallel to provide high processing speed. Now, most of organizations use only 15 percent of their machines capacity. Moreover, cloud computing provides services for data-intensive applications such as data mining. Salesforce.com which provides cloud CRM applications says that the performance is faster five times comparing to traditional cline-server infrastructure.

At a minimum, IaaS public cloud services offer storage and compute services on a pay-per-use model. But the full array of public cloud providers services offered by all major is mind blowing. Virtual private networks, Highly scalable databases, big data analytics, machine learning , developer tools, application monitoring etc. Amazon Web Services was the first IaaS provider, followed by Microsoft Azure, Google Cloud Platform and IBM Cloud.

In this section, we review three recent research articles that address different aspects of the elasticity problem in the cloud, which can be used to improve cloud elasticity. In the first paper, Islam et al. [3] proposed ways to quantify the elasticity concept in a cloud for a consumer. In the second paper, Nguyen et al. [13] proposed an elastic resource scaling system for IaaS cloud providers to predict the future resource needs of a cloud application. In the third paper, Han et al. [14] proposed an elastic scaling approach to detect and analyze bottlenecks within multi-tier cloud applications. In the following sections, we summarize and critique these articles and then synthesize the articles.

The provision of computing resources (i.e. processing, memory, storage and network) to allow the customer to deploy and run their own operating systems and applications. Typically, virtualisation technologies are used to enable multiple customers to share the computing resources. The service provider is only responsible for managing and maintaining the underlying infrastructure hardware and virtualisation hypervisor3 . Examples of IaaS offerings include the government IaaS platforms, Amazon Web Services (AWS), Elastic Cloud Compute (EC2), Google Compute Engine and Rackspace Compute.

The need for computing systems has been increasing in the last decades. This can be proved by the increase on the use of cloud computing. According to the National Institute of Standards and Technology (NIST), cloud computing is an online system that allows to share different types of sources with slight resources (NIST 2012). In addition, cloud computing is changing the tradition definition of computation and information as products to services (Laykin 2013, p.142; Demir 2012, p.30). This change has brought a considerable number of advantages, such as “on demand self-service”, “broad network access”, “resource pooling”, “rapid elasticity” and “measure service” (NIST 2012). However, this new technology also has been rising new ethical

Large providers which have a vast number of resources are able to utilize their resources in a very efficient way. Furthermore public IaaS resources are utilized more efficient than private computer resources in average. Useful management approach for elastic virtual clusters, provide the capacity and environment according to specific requirements without the need to buy or use own hardware and software.

Rackspace: It doesn't have native automatic elasticity like Amazon but it provides the implementation of the Horizontal Elasticity.

Robust scalability: Cloud computing allows for immediate scaling, either up or down, at any time without long-term commitment.

This cloud architecture allows the cloud provider to create a computing platform that consist of components such as hardware, servers, routers, storage, and other networking modules. The model follows the pay as you model where each user takes the services offered and pays for what they use or consume. Users can deploy and run any software, which comprise Operation Systems, applications. The cloud provider is responsible for managing the core cloud infrastructure for which users deployed applications or operating environment. Examples of this cloud computing model include Amazon Elastic Compute Cloud (Amazon EC2) which is an Iaas model that facilitates scalable compute volume, on-demand, in the cloud. It actually allows users make use of a plethora of Amazon 's infrastructure with no up-front investments. Amazon EC2 decreases the clock needed to get hold of and boot latest server instances and permit users to immediately scale space – equally up and down as their computing needs vary.