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
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;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.556
