A New Dynamic Scheduling Algorithm for Real-Time Homogenous Multiprocessor Systems
Many time-critical applications require predictable performance and tasks in these applications have deadlines to be met. In this paper, we develop a new algorithm for non-preemptive scheduling of dynamically arriving real-time tasks (aperiodic task) in multiprocessor systems.The new algorithm includes two policies: task selection policy and processor selection policy, named grouping policy and properly choosing policy (PCP), respectively.Grouping policy and PCP aim to maximize the effective utilization of resources and processors, respectively.Simulation results show this algorithm outperforms the myopic algorithm and the thrift algorithm.
Multiprocessor Systems Dynamic Scheduling Non-preemptive Scheduling And Aperiodic Task
Yuhai Yang Xuelian Bin Shengsheng Yu Jingli Zhou
National Storage System Laboratory, School of Computer Science & Technology, Huazhong University of Airforce Army Radar Academy, Wuhan, Hubei 430019, China National Storage System Laboratory, School of Computer Science & Technology, Huazhong University of
国际会议
杭州
英文
1064-1068
2006-10-12(万方平台首次上网日期,不代表论文的发表时间)