Earticle

초록

영어

Cloud computing is a facsimile of legalizing ubiquitous, expedient, on-demand network access to a shared pool of configurable computing resources that can be rapidly furnished and released with negligible management effort. It relies on sharing computing resources rather than having local servers or personal devices to handle applications. The resource allocation, still lack on sustaining tools that enable developers to compare different resource allocation strategies in cloud computing. In this paper we initiate the concept of “skewness” to measure the bumpy utilization of a server. By minimizing skewness, we can improve the overall utilization of servers in the face of multidimensional resource constraints. Here we use skewness metric to combine VMs with different resource characteristics suitably so that the capacities of servers are well utilized.

목차

Abstract
 1. Introduction
  1.1. Cloud Management
  1.2. Cloud Client
 2. Related Work
 3. Existing System
 4. Proposed System
 5. Implementation
  5.1. System Architecture
 6. Conclusion
 References

키워드

저자

• B. Abinaya. [ Master of Technology, Department of computer science and Engineering, Rajiv Gandhi College of Engineering and Technology, Pondicherry, India ]
• J. Suganthi [ Master of Technology, Department of computer science and Engineering, Rajiv Gandhi College of Engineering and Technology, Pondicherry, India ]
• R. G. Suresh Kumar [ Research Scholar, Vels University, Chennai, India ]
• T. Nalini [ Professor, Department of computer science and Engineering, Bharath University, Chennai, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605