摘要
针对云计算环境下的资源分配和使用不均衡的问题,提出了一种改进型的人工蜂群算法。该算法通过对邻近因子的修改,使得改进后的算法能够有效提高局部搜索能力。通过在3个函数的仿真比较测试中,在搜索精度和性能上有了显著的提高。通过在CloudSim仿真平台上实验发现在云计算模型下,改进型的人工蜂群算法可以有效的减少任务处理请求的平均完成时间,从而提高了云计算下的任务处理的效率。
This paper to the imbalance problem for the allocation and use of resources in the cloud computing environment, proposed an improved artificial bee colony algorithm,the algorithm through modifications to the neighboring factor,making the improved algorithm can effectively improve the local search capabilities.By simulation comparison test in 3 functions,the search precision and performance have been significantly improved.Found by experiment on CloudSim simulation platform in the cloud computing model,the improved artificial bee colony algorithm can effectively reduce the average completion time of the request of the task processing,thereby improving the efficiency of cloud computing task processing.
出处
《科技通报》
北大核心
2013年第5期142-146,189,共6页
Bulletin of Science and Technology
基金
浙江省教育厅科研项目(Y201122576)
关键词
人工蜂群
云计算
资源分配
artificial bee colony
cloud computing
resource allocation
