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多机多任务实时系统云调度策略
引用本文:宋远骏,杨孝宗,李德毅,崔东华.多机多任务实时系统云调度策略[J].计算机学报,2000,23(10):1107-1113.
作者姓名:宋远骏  杨孝宗  李德毅  崔东华
作者单位:1. 哈尔滨工业大学计算机科学与工程系,哈尔滨,150001;总参谋部通信部,北京,100840
2. 哈尔滨工业大学计算机科学与工程系,哈尔滨,150001
3. 总参谋部通信部,北京,100840
4. 海军装备论证研究中心,北京,100083
基金项目:国家自然科学基金!(6 9873 0 13 ),国家“八六三”高技术研究发展计划!(86 3 -3 0 6 -ZT0 6 -0 7-2 )
摘    要:采用云方法对多要实时系统任务的重要性和任务处理的适时性进行分析,实时计算被激活任务的价值及其在不同资源条件下的作业执行时间,提出一种兼顾任务价值和作业执行时间两方面因素的新的调度策略-云调度策略,有效地解决了任务优先级的判定和任务处理适时性问题,提高了系统资源利用效率、运行质量和系统整体效能。仿真证明,此策略优于现在广泛采用的固定优先级和先到先处理调度策略。

关 键 词:多处理机  实时系统  适时性  云调度策略
修稿时间:1999-10-29

The Cloud Scheduler Politics of Multiprocessor Multitask Real Time Systems
SONG Yuan-Jun,YANG Xiao-Zong,LI De-Yi,CUI Dong-Hua.The Cloud Scheduler Politics of Multiprocessor Multitask Real Time Systems[J].Chinese Journal of Computers,2000,23(10):1107-1113.
Authors:SONG Yuan-Jun  YANG Xiao-Zong  LI De-Yi  CUI Dong-Hua
Abstract:The scheduler of multiprocessor among tasks is a key technology to massively parallel processing (MPP) and real time systems.This paper analyses the importance and operating timing of tasks with cloud method,evaluates the value and elapsed time of activated tasks,and puts forward a new scheduler policy,cloud scheduler policy, which can take both the value and elapsed time of tasks into account.Cloud scheduler policy may solve the problem of how to define task PRI and task operating timing well,improve the using efficiency of system resources,operating quality,and enhance the system effectiveness.By means of simulation,it is proved that cloud scheduler policy is better than PRI and FIFO scheduler policies that are very widely used today.
Keywords:cloud model  scheduler  multiprocessor  real time system  timing
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