本文采用蚁群优化算法(ACO)设计了基于光突发交换(OBS)网络的网格任务调度。该算法既考虑了网格用户的需求,同时结合了网格中计算资源和网络资源的分配。设计了基于ACO算法的两种通路选择规则,并在一个集中式的网格OBS仿真平台上对这两种选路规则的性能进行了对比分析。
This paper adopts ant colony opt imizat ion (ACO) to Switching (OBS) task not only consider design the gird Optical Burst scheduling. This the requirement algorithm does of grid users, but also combines the allocation of computational resource and network resource. Two ACO-based path selection rules are designed and their performance is evaluated on a centralized grid OBS simulation platform.