Hierarchic Genetic-Based Scheduler of Independent Jobs in Computational Grids

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• Dr Joanna Kolodziej, Department of Mathematics and Computer Science, University of Bielsko-Biala, Poland
• Monday 16 November 2009, 12:30-13:00
• UG40, School of Computer Science.

If you have a question about this talk, please contact Per Kristian Lehre.

Note unusual time

In this talk we will focus on resolution methods, namely meta-heuristic approaches for solving Grid Scheduling problems. Genetic Algorithms, and specifically an implementation of Hierarchic Genetic Strategy (HGS) for Independent Job Scheduling in Computational Grids will be presented. In HGS approach both makespan and flowtime parameters are simultaneously optimized. Our objective is to present the results of a simple experimental and theoretical analysis of HGS -scheduler and compare its efficiency with some selected single-population genetic algorithms for the benchmark of static scheduling in Grids.

This talk is part of the Artificial Intelligence and Natural Computation seminars series.

This talk is included in these lists:

• Artificial Intelligence and Natural Computation seminars
• Computer Science Departmental Series
• Computer Science Distinguished Seminars
• UG40, School of Computer Science
• computer sience

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