Please use this identifier to cite or link to this item: https://doi.org/10.1504/IJGUC.2005.007056
Title: A peer-to-peer approach to task scheduling in computation grid
Authors: Cao, J.
Kwong, O.M.K.
Wang, X. 
Cai, W.
Keywords: Grid computing
P2P grid
Peer-to-peer
Task-scheduling
Issue Date: 2005
Citation: Cao, J.,Kwong, O.M.K.,Wang, X.,Cai, W. (2005). A peer-to-peer approach to task scheduling in computation grid. International Journal of Grid and Utility Computing 1 (1) : 13-21. ScholarBank@NUS Repository. https://doi.org/10.1504/IJGUC.2005.007056
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 decentralised 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. Copyright © 2005, Inderscience Publishers.
Source Title: International Journal of Grid and Utility Computing
URI: http://scholarbank.nus.edu.sg/handle/10635/114625
ISSN: 1741847X
DOI: 10.1504/IJGUC.2005.007056
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