Integrating collective I/O and cooperative caching into the "clusterfile" parallel file system

  • Authors:
  • Florin Isaila;Guido Malpohl;Vlad Olaru;Gabor Szeder;Walter Tichy

  • Affiliations:
  • University of Karlsruhe, Karlsruhe, Germany;University of Karlsruhe, Karlsruhe, Germany;University of Karlsruhe, Karlsruhe, Germany;University of Karlsruhe, Karlsruhe, Germany;University of Karlsruhe, Karlsruhe, Germany

  • Venue:
  • Proceedings of the 18th annual international conference on Supercomputing
  • Year:
  • 2004

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Abstract

This paper presents the integration of two collective I/O techniques into the Clusterfile parallel file system: disk-directed I/O and two-phase I/O. We show that global cooperative cache management improves the collective I/O performance. The solution focuses on integrating disk parallelism with other types of parallelism: memory (by buffering and caching on several nodes), network (by parallel I/O scheduling strategies) and processors (by redistributing the I/O related computation over several nodes). The performance results show considerable throughput increases over ROMIO's extended two-phase I/O.