Analysis on Cloud Classification using Accessibility

Analysis on Cloud Classification using Accessibility

Anirban Kundu (Shenzhen Key Laboratory of Data Science and Modeling, Institute of Advanced Technology, Shenzhen, China), Guanxiong Xu (Guangdong Key Laboratory of Meta-RF Microwave Radio Frequency, Institute of Advanced Technology, Shenzhen, China) and Chunlin Ji (State Key Laboratory of Meta-RF Electromagnetic Modulation Technology of Kuang-Chi, Institute of Advanced Technology, Shenzhen, China)
Copyright: © 2014 |Pages: 10
DOI: 10.4018/ijcac.2014070103
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Abstract

In this paper, Cloud classification has been demonstrated using accessibility factor of distinct Cloud clusters. Group and non-group Cloud structures have been classified using its direction of scope of activities. Each type of Cloud is further divided into different clusters based on its unique status, such as reachable cluster, non-reachable cluster, basin cluster, momentary cluster, and initiation cluster. Set theory has been applied to realize our proposed Cloud system.
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Introduction

Background

Now-a-days, Cloud (http://en.wikipedia.org/wiki/Distributed_computing). Security issue is efficiently handled in Cloud systems measuring important information using specific mechanisms (Tai, 2009).

Cloud shows several ways to architect and manage resources with computing powers (Kundu, Banerjee, Saha, 2010). A client typically establishes an account for log into specific Web sites to build and deploy application systems into a Cloud for services (Kundu, Banerjee, 2010). Cloud systems typically contain Web applications having HTTP services, relational databases, hardware & software based infrastructures, message queues (http://www.tcs.com/SiteCollectionDocuments/White%20Papers/HighTech_Whitepaper_Business_Intelligence_Cloud_0412-1.pdf).

Cloud is created using typical distributed network structure available and accessible through Internet maintaining typical network topologies to facilitate the users round the clock basis (Xin, Baldine, Mandal, Heermann, Chase, Yumerefendi, 2011). Cloud maintains distinct services, either private or public, for the users to be facilitated on demand basis. In this modern era of computer, everyone wishes to have some idea about classification. A classifier has several types of implementations in different sectors of science and technology. Classifier is typically considered as a tree structure having featured inputs and outputs (Moretti, Steinhaeuser, Thain, Chawla, 2008). Typical classification has been clarified as reflecting evolutionary gaps and fundamental interaction between systems or modules. The systems of present era have had common roots in the past having same family members of the tree structure. The investigator in case of Cloud system inherits the customized modeling of the Cloud structure as a set of dynamic clusters (Pakin, 2007). Difficulties in evaluating behavior of a Cloud system from distinct Cloud clusters or designing a new Cloud architecture to realize the desired behavior have prolonged effects in different applications. An analytical formulation is reported in this paper to analyze state changing activities of a Cloud. A lot of researchers in the field of Cloud have tried to establish mathematical formalisms of computing models. There are a lot of research works available for designing Cloud architecture (Spinnato, Albada, Sloot, 2004).

Our proposed classification shows different types of Cloud structures based on its accessibility between specific source nodes and destination nodes.

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