A comparison of multiprocessor task scheduling algorithms with communication costs |
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Authors: | Reakook Hwang Mitsuo Gen Hiroshi Katayama |
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Affiliation: | 1. Department of Industrial and Management Systems Engineering, Graduate School of Science and Engineering, Waseda University, Tokyo 169-8555, Japan;2. Department of Information Architecture, Graduate School of Information, Production and System, Waseda University, Kitakyushu 808-0135, Japan |
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Abstract: | 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), for execution on multiprocessors with communication costs. Moreover, we investigate an alternative paradigm, where genetic algorithms (GAs) have recently received 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. |
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Keywords: | Multiprocessor task scheduling Genetic algorithm Priority-based multi-chromosome (PMC) |
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