Summary
Due to the complex nature of Grid systems, the design of efficient Grid schedulers is challenging since such schedulers have to be able to optimize many conflicting criteria in very short periods of time. This problem has been tackled in the literature by several different meta-heuristics, and our main focus in this work is to develop a new highly competitive technique with respect to the existing ones. For that, we exploit the capabilities of Cellular Memetic Algorithms, a kind of Memetic Algorithm with structured population, for obtaining efficient batch schedulers for Grid systems, and the resulting scheduler is experimentally tested through a Grid simulator.
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Xhafa, F., Alba, E., Dorronsoro, B., Duran, B., Abraham, A. (2008). Efficient Batch Job Scheduling in Grids Using Cellular Memetic Algorithms. In: Xhafa, F., Abraham, A. (eds) Metaheuristics for Scheduling in Distributed Computing Environments. Studies in Computational Intelligence, vol 146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69277-5_10
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DOI: https://doi.org/10.1007/978-3-540-69277-5_10
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