Abstract
We consider the problem of static load balancing with the objective of minimizing the job response times. The jobs that arrive at a central scheduler are allocated to various processors in the system with certain probabilities. This optimization problem is solved using real-coded genetic algorithms. A comparison of this approach with the standard optimization methods are presented.
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© 2005 Springer-Verlag Berlin Heidelberg
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Mani, V., Suresh, S., Kim, H.J. (2005). Real-Coded Genetic Algorithms for Optimal Static Load Balancing in Distributed Computing System with Communication Delays. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3483. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424925_30
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DOI: https://doi.org/10.1007/11424925_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25863-6
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