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Author Chao-Tung Yang ♦ Keng-Yi Chou
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2009
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Chaos ♦ load balancing ♦ multiple clusters ♦ Dynamic scheduling ♦ cluster computing ♦ self-scheduling ♦ Proposals ♦ Information technology ♦ heterogeneous ♦ Computer science ♦ Fault tolerance ♦ Processor scheduling ♦ loop scheduling ♦ Load management ♦ Dispatching ♦ Resource management
Abstract In this paper we proposal a new scheduling system based on multi-clusters environments. The work we present is Adaptive Job Allocation Strategy (AJAS) in which the scheduler dispatches jobs that with self-scheduling scheme into appropriate resources across multi-clusters. The strategy focuses on how to increase resource utility, jobs via self-scheduling and dispatching jobs to nodes with similar performance capacities, thus equalizing execution times among all the nodes the jobs require. Experimental results show that the proposed approach performs better than previous schemes.
ISBN 9780769538365
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2009-10-11
Publisher Place China
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 737.55 kB
Page Count 6
Starting Page 209
Ending Page 214

Source: IEEE Xplore Digital Library