Cogset vs. Hadoop: Measurements and Analysis

  • Authors:
  • Steffen Viken Valvag;Dag Johansen;Age Kvalnes

  • Affiliations:
  • -;-;-

  • Venue:
  • CLOUDCOM '10 Proceedings of the 2010 IEEE Second International Conference on Cloud Computing Technology and Science
  • Year:
  • 2010

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Abstract

Cog set is an efficient and generic engine for reliable storage and parallel processing of data. It supports a number of high-level programming interfaces, including a MapReduce interface compatible with Hadoop. In this paper, we evaluate Cogset’s performance as a MapReduce engine, comparing it to Hadoop. Our results show that Cog set generally outperforms Hadoop by a significant margin. We investigate the causes of this gap in performance and demonstrate some relatively minor modifications that markedly improveHadoop’s performance, closing some of the gap.