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基于概率的实时任务调度分析
引用本文:吴炜炜,张有仁. 基于概率的实时任务调度分析[J]. 计算机工程, 2006, 32(2): 56-58,72
作者姓名:吴炜炜  张有仁
作者单位:华东理工大学计算机科学与工程系,上海,200237;华东理工大学计算机科学与工程系,上海,200237
摘    要:在某些软实时系统中,为了降低系统成本,允许系统过载,并且允许过载时少量任务能错失时限;对于这样的系统,常常能设法获得其任务的执行时间所服从的概率分布。针对这样的系统,提出了基于概率的可调度分析方法,对系统的性能作出概率上的估计,在概率意义上预测系统的可行性;并提出以数据挖掘技术估算任务执行时间的分类方法,这对预测系统的性能和提高系统利用率有重要的意义。

关 键 词:实时系统  实时任务调度  概率密度  数据挖掘
文章编号:1000-3428(2006)02-0056-03
收稿时间:2005-03-25
修稿时间:2005-03-25

Probability-based Schedulability Analysis for Real-time Systems
WU Weiwei,ZHANG Youren. Probability-based Schedulability Analysis for Real-time Systems[J]. Computer Engineering, 2006, 32(2): 56-58,72
Authors:WU Weiwei  ZHANG Youren
Affiliation:Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237
Abstract:In some soft real-time systems, tasks can miss their deadlines especially when the systems are overloaded, and the probability of execution time of tasks can be known. This paper provides a method of schedulability analysis based on probability for such systems, and describes how to predict the performance and estimates the execution time of tasks by data-mining, which will be contributive to the improvement of the utility of the systems.
Keywords:Rcal-time systems   Real-time task scheduling   Probability   Data mining
本文献已被 CNKI 维普 万方数据 等数据库收录!
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