Task Scheduling Algorithm Based on Bidirectional Optimization Genetic Algorithm in Cloud Computing Environment

被引：0
|
作者：
Wei Guanghui [1 ]
机构：
[1] Chongqing Coll Elect Engn, Chongqing, Peoples R China
来源：
AGRO FOOD INDUSTRY HI-TECH | 2017年 / 28卷 / 03期
关键词：
cloud computing; bidirectional optimization; genetic algorithm; task scheduling; CloudSim3.0;
D O I：
暂无
中图分类号：
Q81 [生物工程学（生物技术）]; Q93 [微生物学];
学科分类号：
071005 ; 0836 ; 090102 ; 100705 ;
摘要：
the task scheduling of cloud computing was studied, from the point of reducing the completion time and execution cost of tasks, a cloud computing task scheduling algorithm was proposed. Firstly, establish the models of completion time and execution cost for cloud computing tasks, and carry out the weight setting for the two optimization goals time and cost; and then, propose a Bidirectional Optimization Genetic Algorithm (BOGA), use the normal distribution function and optimal individuals to preserve the design selection, crossover and mutation operators and solve the optimal scheme for task scheduling. Perform the simulation of BOGA algorithm in CloudSim, the results show that the proposed scheduling algorithm can achieve the bidirectional optimization for the completion time and execution cost of tasks and is a feasible scheduling algorithm in cloud computing.
引用
收藏
页码：3062 / 3067
页数：6
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