DocumentCode
507815
Title
Wasp Algorithm Used to Drive Dynamic Task Allocation in a Heterogeneous Computing System
Author
Zheng, Jun ; Hu, Wen-xin ; Ji, Jian-xiong
Author_Institution
Comput. Center, East China Normal Univ., Shanghai, China
Volume
3
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
334
Lastpage
337
Abstract
In this paper, swarm intelligence is introduced into the scheduling of a heterogeneous computing system and a novel dynamic task-scheduling model is proposed. The model describes the interaction between a wasp colony and the environment. Contesting for resources is addressed by dynamically allocating processors in sequence. Experimental results show the effectiveness of the proposed method.
Keywords
particle swarm optimisation; scheduling; task analysis; heterogeneous computing system; swarm intelligence; task allocation; task scheduling; wasp algorithm; Ant colony optimization; Application software; Drives; Dynamic scheduling; Insects; Particle swarm optimization; Processor scheduling; Resource management; Scheduling algorithm; System performance;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3736-8
Type
conf
DOI
10.1109/ICNC.2009.556
Filename
5363250
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