A Study on Using Uncertain Time Series Matching Algorithms in Map-Reduce Applications

Abstract

In this paper, we study CPU utilization time patterns of several MapReduce applications. After extracting running patterns of several applications, the patterns along with their statistical information are saved in a reference database to be later used to tweak system parameters to efficiently execute future unknown applications. To achieve this goal, CPUโ€ฆย (More)
DOI: 10.1002/cpe.2895

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