| 云计算环境下人工蜂群作业调度算法设计 |
| |
| 引用本文： | 杨海军.云计算环境下人工蜂群作业调度算法设计[J].数学的实践与认识,2012,42(10):115-120. |
| |
| 作者姓名： | 杨海军 |
| |
| 作者单位： | 兰州商学院信息工程学院,甘肃兰州,730020 |
| |
| 摘 要： | 针对云计算环境下作业调度优化问题,提出了一种基于人工蜂群的调度算法.分析人工蜂群算法的求解组合优化问题过程,建立了收益度函数和蜜源位置更新公式,最后论述了利用该算法求解的具体步骤.并通过实验分析了该算法的性能.
|
| 关 键 词： | 人工蜂群算法 作业调度算法 收益度函数 |
A Job Scheduling Algorithm Based on Artificial Bee Colony in Cloud Computing |
| |
| YANG Hai-jun.A Job Scheduling Algorithm Based on Artificial Bee Colony in Cloud Computing[J].Mathematics in Practice and Theory,2012,42(10):115-120. |
| |
| Authors: | YANG Hai-jun |
| |
| Institution: | YANG Hai-jun (School of Information Science and Engineering Lanzhou University of Finance and Economics,Lanzhou,730020 China) |
| |
| Abstract: | This paper proposes a job scheduling algorithm based on artificial Bee Colony (ABC),to optimize job scheduling in cloud computing environment.The Artificial Bee Colony (ABC) algorithm is analysed for solving combinatorial optimization problems.The utility function for honey plant and formula for new solution are also created.Finally,the paper shows how to solve problems using this algorithm,and analyses the performance of the algorithm based on testing report. |
| |
| Keywords: | job scheduling algorithm artificial bee colony algorithm utility function for honey plant |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
