并行结构中非关键任务的服务选择方法

Hong-ning Zhu, Bin Zhang, Xian-wen Gao
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引用次数: 0

摘要

针对并行结构中非关键任务的忽略选择问题,提出了一种基于灰色关联分析的服务选择方法。以关键任务的执行时间作为非关键任务执行时间的上限,以非关键任务的执行时间作为参考序列,以其他QoS标准作为比较序列。灰色关联度表示QoS准则与执行时间之间的关联度;将灰色关联度化简为QoS准则的权重,然后对各准则的加权和进行评价,以选择优化的并行结构Web QoS服务候选。这种选择虽然牺牲了非关键任务的执行时间,但对并行结构的执行时间没有影响,同时提高了其他QoS标准。实例分析表明,该方法是一种复合服务QoS优化技术,在不影响复合服务执行时间的前提下,以牺牲非关键任务的执行时间为代价获得较好的服务质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Service Selection Method of Non-critical Task in Parallel Structure
Aiming at the neglected selection for non-critical task in parallel structure, this paper provides a method of services selection based on grey relational analysis. It regards the execution time of critical task as the upper limit for the execution time of non-critical task, uses the execution time of non-critical task as the reference series, and takes other QoS criteria as compared series. And the grey relational grades represent the relational degree between the QoS criteria and the execution time; the grey relational grades are reduced to the QoS criteria’s weights, then evaluating the weighted sum of criteria in order to choose the optimized candidate Web QoS service of parallel structure. Though the selection sacrifices the execution time of non-critical task, it has no influence on the execution time of parallel structure, and improves other QoS criteria simultaneously. The instance analysis shows that the method is a composite service QoS optimization technique which does not affect the execution time of composite services and obtains the better service quality at the cost of sacrificing the execution time of non-critical task.
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