Exploring Job Migration Technique for P2P Grid Systems

Exploring Job Migration Technique for P2P Grid Systems

Kuan-Chou Lai (National Taichung University, Taiwan), Chao-Chin Wu (National Changhua University of Education, Taiwan) and Shih-Jie Lin (National Taichung University, Taiwan)
Copyright: © 2009 |Pages: 10
DOI: 10.4018/jghpc.2009070802

Abstract

P2P Grids can potentially solve large-scale scientific problems by using geographically distributed heterogeneous resources. However, a number of major technical obstacles must be overcome before this potential can be realized. One problem critical to the effective utilization of P2P Grids is the efficient scheduling of jobs. This study addresses the above-mentioned problem by describing and evaluating a P2P communication model, a P2P resource monitoring system and a job migration mechanism. In this study, the authors propose a P2P communication mechanism, which is built to deliver various information across heterogeneous Grid systems. Based on this P2P communication mechanism, they can develop job migration technology and then improve the usage of distributed computing resources.
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There are many middlewares (e.g., Globus Toolkit, Unicore, gLite, etc.) which have been developed for cooperating with distributed grid resources. Most of them focus on providing the core middleware services for supporting high-level application development functionalities, and depend on specialized servers for maintaining distributed resource information. On the other hand, P2P systems adopt decentralized resource discovery approaches and thus do not rely on any specialized servers to capture distributed resource information. However, P2P systems lack the support of job migration capabilities for load balancing or task scheduling.

In this section, we present the related work of grid information systems and job migration policies.

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