GRID COMPUTING AND CHECKPOINT APPROACH

Abstract

Grid computing is a means of allocating the computational power of a large number of computers to complex difficult computation or problem. Grid computing is a distributed computing paradigm that differs from traditional distributed computing in that it is aimed toward large scale systems that even span organizational boundaries. In this paper we investigate the different techniques of fault tolerance which are used in many real time distributed systems. The main focus is on types of fault occurring in the system, fault detection techniques and the recovery techniques used. A fault can occur due to link failure, resource failure or by any other reason is to be tolerated for working the system smoothly and accurately. These faults can be detected and recovered by many techniques used accordingly. An appropriate fault detector can avoid loss due to system crash and reliable fault tolerance technique can save from system failure. This paper provides how these methods are applied to detect and tolerate faults from various Real Time Distributed Systems. The advantages of utilizing the check pointing functionality are obvious; however so far the Grid community has not developed a widely accepted standard that would allow the Grid environment to consciously utilize low level check pointing packages. Therefore, such a standard named Grid Check pointing Architecture is being designed.

Authors and Affiliations

Pankaj Gupta

Keywords

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  • EP ID EP108941
  • DOI -
  • Views 131
  • Downloads 0

How To Cite

Pankaj Gupta (2011). GRID COMPUTING AND CHECKPOINT APPROACH. International Journal of Computer Science and Management Studies (IJCSMS) www.ijcsms.com, 11(1), 64-69. https://europub.co.uk./articles/-A-108941