全文下载：2012060619
陈真
（韩山师范学院 潮州师范分院， 广东 潮州 521000）
摘要： 基于云计算环境的特点，采用改进蚁群优化的计算资源分配算法,分析诸如带宽占用、网络负载和响应时间等因素对云端资源分配的影响。仿真实验的分析和比较说明该算法能够在云中快速、合理地找到所需访问的数据库，并能够优化搜索性能，减少搜索时间，降低云数据库整体网络负载，比其他一些针对云计算的分配算法具有更优的效率。
关键词： 云计算； 网络负载； 蚁群算法； 数据库
中图分类号： TP 316文献标志码： A
Resource Allocation for Cloud Computing Base on Ant Colony Optimization Algorithm
CHEN Zhen
(Chaozhou Teacher’s College,Hanshan normal University,Chaozhou 521000,China)
Abstract: Based on the characteristics of cloud computing environment, using the improved ant colony optimization calculation resource allocation algorithm, through the analysis such as bandwidth, the load of network and response time factors on the influence of the distribution of the clouds resources, and through the analysis and comparison of the simulation experiment, the algorithm can quickly and reasonable find the required database in the cloud, and also improve the search performance, reduce the search time and lower the load of the whole network cloud database, so as to get better efficiency than the other algorithm which is in allusion to the cloud computing.
Key words:cloud computing； load of network； ant colony optimization(ACO)； database
收稿日期：2012-04-17
作者简介： 陈真（1985—），男，硕士.
