SUMMARY Cogset is a generic and efficient engine for reliable storage and parallel processing of distributed data sets. It supports a number of high‐level programming interfaces, including a MapReduce interface compatible with Hadoop. In this paper, we present Cogset's architecture and evaluate its performance as a MapReduce engine, comparing it with Hadoop. Our results show that Cogset generally outperforms Hadoop by a significant margin. We investigate the underlying causes of this difference in performance and demonstrate some relatively minor modifications that markedly improve Hadoop's performance, closing some of the gap.
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Valvåg et al. (2012) studied this question.
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