摘要
介绍了基于云计算环境下的蚁群优化算法,给出了计算仿真平台的建立及体系架构,包含分布式处理、并行处理和网格计算等相关技术,并在该平台下采用蚁群算法得到任务调度的优化。通过在CloudSim平台进行仿真试验证明,该算法具有较强的寻优能力和实时计算能力,是一种实用和有效的算法,完全可以满足大部分互联网各终端的调用需要。
This paper mainly introduced the research of ant colony optimization algorithm based on cloud computing en- vironment, and put forward the establishment and the structure of simulation platform including the distributed computing, parallel computing and grid computing and other related technologies as well as the optimized task scheduling under the plat- form adopts ant colony the algorithm. Through simulation experiment on the CloudSim platform, proved that the algorithm has the ability of searching ability and real-time calculation of strong, is a practical, efficient algorithm. It can fully meet the needs of most of the Internet terminal call.
出处
《新技术新工艺》
2014年第8期49-52,共4页
New Technology & New Process
基金
中国科学院西安光学精密机械研究所资助项目(H201204XXX
关键词
云计算
仿真平台
蚁群优化算法
cloud computing, simulation platform, ant colony optimization algorithm
