Using Ant Colony Optimization for SuperScheduling in Computational Grid
The problem of how to allocate the resources optimally and adoptively in the dynamic, scalable and distribute-controlled grid environment is introduced and discussed numerously. But recent researches cant satisfy with the needs of resource allocation in grid system thoroughly. In this paper, we use the SuperScheduling concept in grid system, which is with no explicit model. And we introduce Ant Colony Optimization applied for those models to implement resource allocation. We test the validity of Ant Colony Optimization which gets good results to satisfy with the needs of resource allocation in the dynamic, scalable grid environment with no global control.
Li Liu Yi Yang Lian Li Wanbin Shi
Department of Computer Science, Lanzhou University, P. R. China;School of Mathematics, Lanzhou Unive Department of Computer Science, Lanzhou University, P. R. China
国际会议
2006 Asia-Pacific Services Computing Conference(IEEE亚太地区服务计算会议)
广州
英文
539-545
2006-12-12(万方平台首次上网日期,不代表论文的发表时间)