Efficient Batch Job Scheduling in Grids Using Cellular Memetic Algorithms

DOI10.1007/978-3-540-69277-5_10zbMath1153.68344OpenAlexW4245154747MaRDI QIDQ3603118

Bernat Duran, Bernabé Dorronsoro, Enrique Alba, Ajith Abraham, Fatos Xhafa

Publication date: 13 February 2009

Published in: Studies in Computational Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-540-69277-5_10

zbMATH Keywords

simulationmakespanjob schedulinggrid computingcellular memetic algorithmsdynamic computing environmentETC model

Mathematics Subject Classification ID

Performance evaluation, queueing, and scheduling in the context of computer systems (68M20)

Related Items (3)

Task scheduling using two-phase variable neighborhood search algorithm on heterogeneous computing and grid environments ⋮ Meta-heuristics for Grid Scheduling Problems ⋮ LUNAR: cellular automata for drifting data streams

Cites Work

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• Cellular genetic algorithms
• Handbook of Bioinspired Algorithms and Applications
• A comparison of eleven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems

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