Scheduling In Cloud Based On Hyper Heuristics
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 7
Abstract
Traditional scheduling algorithms are used for scheduling tasks in many cloud computing systems. They are used mainly because of their simplicity and easiness to implement. Heuristics when applied to these algorithms the performance increases. Hyper heuristics is used here. Genetic and simulated annealing algorithms are used in the candidate pool as low level heuristic algorithms. The performance of genetic algorithm is further increased by combining it with other evolutionary algorithm such as differential evolution. Comparisons based on maximum lateness, maximum tardiness, makespan and maximum flowtime show that the combined heuristic algorithm performs better than when each of these low level candidate solutions used individually.
Authors and Affiliations
Bini T Bhaskaran, Sindhu S
Keywords
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