摘要
分布式系统中调度机制对负载共享系统性能有重要影响。基于CPU-MEM的负载共享策略考虑内存资源对系统性能的作用,降低了页失效次数,提高了资源利用率。在CPU-MEM负载共享机制基础上,考虑任务在执行过程中的变化特性,提出了在单节点上减少任务平均内存需求的多内存需求多时间片轮询策略(RR-MMMCS)和基于预测的多内存多时间片策略(MMMCS-P)。实验表明,无论是对计算密集型任务还是数据密集型任务,RR-MMMCS、MMMCS-P调度机制在平均响应时间方面具有较好的性能。
Scheduling schemes have important effects on the performance of load sharing in distributed systems. Because the load sharing policy based on CPU-memory made the system memory an important role in effecting the system performance, it could reduce the paging fault and enhance the usage of the system resource. In light of the characteristics of the load sharing based on the CPU-memory and the variation of the jobs in executing, presented new CPU local scheduling schemes named more memory-request more CPU slice based on round robin （RR-MMMCS） mechanism and more memory-request more CPU slice based on predicting（MMMCS-P） mechanism. The trace-driven simulation experiments show that the load sharing policy based on the CPU-memory and the RR-MMMCS, the MMMCS-P scheduling scheme are effective and have better performance in average response time for both CPU-memory and memory-bound jobs.
出处
《计算机应用研究》
CSCD
北大核心
2008年第5期1364-1367,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(0472044)
河南省信息网络重点开放实验室基金资助项目(2006)
作者简介
石磊（1967-），男，河南郑州人，副教授，博士，主要研究方向为Web预取与中间件技术、高性能计算（shilei@zzu．edu．cn）
孙雨岩（1982-），女，硕士研究生，主要研究方向为计算机网络技术及高性能计算．
