计算机与现代化 ›› 2013, Vol. 1 ›› Issue (9): 42-45.doi: 10.3969/j.issn.1006-2475.2013.09.010

• 人工智能 • 上一篇    下一篇

优化蚁群算法的云环境负载均衡

刘晓曦,李卓越   

  1. 国网技术学院信息中心,山东 济南 250002
  • 收稿日期:2013-05-24 修回日期:1900-01-01 出版日期:2013-09-17 发布日期:2013-09-17

Load Balancing of Cloud Environment Based on Optimized Ant Colony Algorithm

LIU Xiao-xi, LI Zhuo-yue   

  1. Information Center, State Grid of China Technology College, Jinan 250002, China
  • Received:2013-05-24 Revised:1900-01-01 Online:2013-09-17 Published:2013-09-17

摘要: 从云计算的资源负载均衡研究角度出发,提出一种优化蚁群算法与云计算负载均衡结合方案,将预优化排序策略和精英策略引入负载均衡蚁群算法中。仿真实验结果表明了该算法的有效性。

关键词: 优化蚁群算法, 云计算, 负载均衡, 精英策略, 预优化排序

Abstract: The perspective of this research is the load balancing of cloud computing resources. We put forward a program, which is an optimized ant colony algorithm for load balancing of cloud computing. The specific program introduces the pre-optimized sequencing strategy and elitist strategy into the load balancing of ant colony algorithm. We design a simulation for the algorithm, which tests and verifies the algorithm assumption, and the results of this experiment show the effectiveness of the algorithm.

Key words: OACA (optimized ant colony algorithm), cloud computing, load balancing, elitist strategy, pre-optimized sequencing strategy

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