摘要
网格计算是分布式环境中资源共享和协同工作的有效手段,资源管理是网格计算中的关键问题。基于对等计算的思想,提出了一个Grid-P2P资源管理模型,并设计出一种基于碟式洗牌遗传算法的任务调度优化方法。仿真实验结果表明,该模型有利于网格的扩展性和动态性,可以成功地应用于网格任务调度。
Grid computing is an efficient way to resolve the resource sharing and cooperative work in distributed environments. The resource management is a key problem in grid. This paper brings forward a Grid-P2P model based on Peer-to-Peer computing, and designs a butterfly shuffle genetic scheduling algorithm. The simulation results show that this modal is beneficial to scalability and dynamic of the grid. It can be applied to the optimization of task scheduling successfully.
出处
《武汉理工大学学报》
CAS
CSCD
北大核心
2009年第23期147-150,共4页
Journal of Wuhan University of Technology
基金
宁波市重点实验室开放基金项目(2007ZDSYSA003)
关键词
网格计算
资源管理
任务调度
对等计算
碟式洗牌遗传算法
Grid computing
resource management
task scheduling
Peer-to-Peer
butterfly shuffle genetic algorithm
