Task scheduling in distributed computing systems with a genetic algorithm

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24 Citations (Scopus)

Abstract

Scheduling a directed acyclic graph (DAG) which represents the precedence relations of the tasks of a parallel program in a distributed computing system (DCS) is known as an NP-complete problem except for some special cases. Many heuristic-based methods have been proposed under various models and assumptions. A DCS can be classified in two types according to the characteristics of the processors on a network: a distributed homogeneous system (DHOS) and a distributed heterogeneous system (DHES). This paper defines a general model for a DHOS and a DHES and presents a genetic algorithm (GA) to solve the task scheduling problem in the defined DCS. The performance of the proposed GA is compared with the list scheduling algorithm in a DHOS and with the one-level reach-out greedy algorithm (OLROG) in a DHES. The proposed GA has shown better performance in various environments than other scheduling methods.

Original languageEnglish
Pages301-305
Number of pages5
Publication statusPublished - 1997
EventProceedings of the 1997 2nd High Performance Computing on the Information Superhighway, HPC Asia'97 - Seoul, South Korea
Duration: 1997 Apr 281997 May 2

Other

OtherProceedings of the 1997 2nd High Performance Computing on the Information Superhighway, HPC Asia'97
CitySeoul, South Korea
Period97/4/2897/5/2

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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    Woo, S. H., Yang, S. B., Kim, S. D., & Han, T. D. (1997). Task scheduling in distributed computing systems with a genetic algorithm. 301-305. Paper presented at Proceedings of the 1997 2nd High Performance Computing on the Information Superhighway, HPC Asia'97, Seoul, South Korea, .