摘要
文章将群体智能技术引入异构计算系统的优化调度问题当中,利用蜂群与环境的交互模型来实现异构计算系统中动态的任务调度和分配,提出了一种优化的动态任务分配模型.该模型通过处理器对待处理任务的动态选择,实现了异构计算系统中任务的动态分配和任务的优化分配.
In this paper, swarm intelligence was introduced to the scheduling of heterogeneous computing system. A novel dynamic task-scheduling model for heterogeneous computing system was proposed, where the model described the interaction between the wasp colony and the environment. By this model, the contest problem is solved according to the processors' dynamic selection of sequences.
出处
《南通大学学报(自然科学版)》
CAS
2007年第3期83-86,共4页
Journal of Nantong University(Natural Science Edition)
关键词
异构计算
优化调度
蜂群算法
heterogeneous computing
optimal scheduling
wasp algorithm