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首页> 外文期刊>International Journal of Applied Mathematics & Statistics >Hybrid Genetic Algorithm-based Workflow Scheduling in Cloud Environment
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Hybrid Genetic Algorithm-based Workflow Scheduling in Cloud Environment

机译：云环境下基于混合遗传算法的工作流调度

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摘要

Aim at the long time of the processing time about tasks in cloud environment, a cloud workflow task scheduling algorithm based on the hybrid genetic algorithm is put forward. It uses the virus evolutionary mechanism with genetic algorithm to complete the optimization of the task scheduling. This algorithm can increase the diversity of the individual of the population workflow, and avoid premature convergence and earliness phenomenon of the main population workflow. And it has a better effect so as to reduce the time of the task scheduling. Through the CloudSim simulation platform, the experimental result shows that the hybrid genetic algorithm has the advantages of optimization ability and taking the less time, and has effectively reduced the time spending of workflow scheduling.
机译：针对云环境中任务的处理时间较长的问题，提出了一种基于混合遗传算法的云工作流任务调度算法。它利用病毒进化机制和遗传算法来完成任务调度的优化。该算法可以增加人口工作流程个体的多样性，避免主要人口工作流程的过早收敛和过早现象。效果更好，减少了任务调度的时间。通过CloudSim仿真平台，实验结果表明，混合遗传算法具有优化能力强，耗时少的优点，有效减少了工作流调度的时间。

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