2008年3月
A comparison of multiprocessor task scheduling algorithms with communication costs
COMPUTERS & OPERATIONS RESEARCH
- ,
- ,
- 巻
- 35
- 号
- 3
- 開始ページ
- 976
- 終了ページ
- 993
- 記述言語
- 英語
- 掲載種別
- DOI
- 10.1016/j.cor.2006.05.013
- 出版者・発行元
- PERGAMON-ELSEVIER SCIENCE LTD
Both parallel and distributed network environment systems play a vital role in the improvement of high performance computing. Of primary concern when analyzing these systems is multiprocessor task scheduling. Therefore, this paper addresses the challenge of multiprocessor task scheduling parallel programs, represented as directed acyclic task graph (DAG), forexecution on multiprocessors with communication costs. Moreover, we investigate an alternative paradigm, where genetic algorithms (GAs) have recently received p much attention. which is a class of robust stochastic search algorithms for various combinatorial optimization problems. We design the new encoding mechanism with a multi-functional chromosome that uses the priority representation-the so-called priority-based multi-chromosome (PMC). PMC can efficiently represent a task schedule and assign tasks to processors. The proposed priority-based GA has show effective performance in various parallel environments for scheduling methods. (c) 2006 Elsevier Ltd. All rights reserved.
- リンク情報
- ID情報
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- DOI : 10.1016/j.cor.2006.05.013
- ISSN : 0305-0548
- Web of Science ID : WOS:000250256100026