基于排队理论的MapReduce优先级调度

Cong Wan, Cuirong Wang, Shuo Jia
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引用次数: 1

摘要

MapReduce是一种编程模型和相关的实现,用于处理和生成大型数据集。以服务的形式提供MapReduce是未来的发展趋势。提出了一种基于队列理论的MapReduce框架调度方案。该方案将用户分为优先级用户和非优先级用户,用户分别对应于不同的队列。该方案确保优先级用户具有预先指定的延迟,而非优先级队列具有承诺的利用率。最后,通过实验验证了该方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Priority Scheduling in MapReduce Based on Queuing Theory
MapReduce is a programming model and an associated implementation for processing and generating large data sets. Providing MapReduce as a service is the development future trend. This paper present a queue theory based scheduling scheme for MapReduce framework. The scheme divides users into priority user and non-priority and users respectively corresponding to different queues. The scheme insures priority user has a pre-specified delay and the non-priority queue have a promised utilization ratio. At last, Experiments show the effectiveness of the scheme.
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