Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/70253
Title: A peer-to-peer approach to task scheduling in computation grid
Authors: Cao, J 
Kwong, MK
Wang, X
Cai, W
Issue Date: 2004
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2004, v. 3032, p. 316-323 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: Most of the existing solutions on task scheduling and resource management in grid computing are based on the traditional client/server model, enforcing a homogenous policy on making decisions and limiting the system flexibility and scalability. In this paper, we propose a peer-to-peer (P2P)-based decentralized approach, which off-loads the intermediate server by letting the peers in the grid to make the scheduling decision among themselves using their own scheduling policies. A generic architecture for metascheduler on peers, called PGS (P2P Grid Scheduler), and the task scheduling framework based on PGS have been developed. Both push and pull modes are used for distributing the tasks to peers with the support of load balancing and fault tolerance. A prototype of the proposed architecture and mechanism has been developed and simple performance tests have been conducted.
Description: 2nd International Workshop on Grid and Cooperative Computing (GCC 2003), Beijing, China, 30 Nov - 3 Dec 2003
URI: http://hdl.handle.net/10397/70253
ISBN: 978-3-540-21988-0
978-3-540-24679-4
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-540-24679-4_65
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