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Application of Ant Colony Optimization in Cloud Computing Load Balancing

机译:蚁群优化在云计算负载平衡中的应用

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In cloud computing, because all the tasks are submitted and requested by the users, it is the key to improve the quality of service whether all tasks are scheduled to every host to achieve the shortest completion time for all tasks. In this paper, the basic ant colony algorithm is modified appropriately to enable task scheduling and load balancing. The simulation results show that the ant colony algorithm can effectively obtain the global optimal solution and realize the shortest task completion time.
机译:在云计算中,因为用户提交和请求所有任务,是提高所有任务的服务质量,以实现所有任务的最短完成时间。在本文中,适当地修改基本蚁群算法,以实现任务调度和负载平衡。仿真结果表明,蚁群算法可以有效地获得全局最优解决方案并实现最短的任务完成时间。

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