PStorM: Profile Storage and Matching for Feedback-Based Tuning of MapReduce Jobs

Abstract

The MapReduce programming model has become widely adopted for large scale analytics on big data. MapReduce systems such as Hadoop have many tuning parameters, many of which have a significant impact on performance. The map and reduce functions that make up a MapReduce job are developed using arbitrary programming constructs, which make them black-box in… (More)
DOI: 10.5441/002/edbt.2014.02

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