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HIGA: Hybrid Immune - Genetic Algorithm for Dependent Task Scheduling in Large Scale Distributed Systems

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3 Author(s)
Istin, M. ; Fac. of Automatics & Comput. Sci., Univ. Politeh. of Bucharest, Bucharest, Romania ; Pop, F. ; Cristea, V.

Optimization of the task scheduling represent one of the most important open issues of large scale distributed systems. Generally, the overall performance of a distributed system is highly influenced by the quality of the scheduling solution. This paper addresses the problem of dependent task scheduling, by proposing an innovative solution based on a memetic algorithm that combines the advantages of both imuune and genetic algorithm. The experiments proved that the proposed algorithm converges very fast and provides near-optimal solution by minimizing the make span (or schedule length).

Published in:

Parallel and Distributed Computing (ISPDC), 2011 10th International Symposium on

Date of Conference:

6-8 July 2011