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Maximizing the Accrued Utility of an Isochronal Soft Real-Time System Using Genetic Algorithms

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5 Author(s)
Kazem, A. ; Dept. of Comput. Eng., Islamic Azad Univ., Tabriz, Iran ; Seifzadeh, H. ; Kargahi, M. ; Movaghar, A.
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Many real-time systems are in fact isochronal, where both early and late responses are harmful to the system or lead to lower quality of service. Real-time task scheduling problems proved that are NP-hard problems. Therefore, it is necessary to apply a heuristic search strategy on these problems. In this paper, a multi-objective genetic algorithm is proposed for static task scheduling in non-overloaded isochronal soft real-time systems. Its objective is to maximize the total utility of jobs. Simulation results indicate that genetic algorithm could be a suitable heuristic search strategy for task scheduling in isochronal soft real-time systems.

Published in:

Computer and Information Science, 2009. ICIS 2009. Eighth IEEE/ACIS International Conference on

Date of Conference:

1-3 June 2009