Multi-workflow scheduling method based on multi-population hybrid intelligent optimization in cloud environment
A scheduling method and workflow technology, applied in energy-saving computing, genetic models, multi-programming devices, etc., can solve the problems of short running time of local search capabilities, lack of global search mechanism, easy to fall into local optimum, etc., to achieve enhanced global search Capabilities, Enhancing Diversity, Improving the Effects of Diversity
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[0095] In order to test the effect of the multi-group hybrid intelligent optimization algorithm (MSC-HIO) proposed by the present invention for multi-workflow task scheduling in the cloud environment, the present invention uses the cloud computing simulation tool WorkflowSim, and selects three kinds of multi-objective optimization scheduling algorithms Contrast: non-dominated sorting genetic algorithm (NSGA-II), multi-objective ant colony algorithm (MOACS), endocrine-based multi-population co-evolutionary multi-objective optimization algorithm (ECMSMOO).
[0096] Select four types of workflows of medium scale, namely Montage_50, Inspiral_50, Epigenomics_46 and Cybershake_50, use 30 virtual machines with different processing capabilities, and perform scheduling simulation under 3 constraint factors (for example: 0.25, 0.5, 0.75) experiment. To avoid the randomness of scheduling results, each method was run 20 times for statistical analysis. The total execution time, total exec...
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