Adaptive parallel I/O scheduling algorithm for multiprogrammed systems

  • Authors:
  • J. H. Abawajy

  • Affiliations:
  • Deakin University, School of Information Technology, Geelong, Vic. 3217, Australia

  • Venue:
  • Future Generation Computer Systems - Parallel input/output management techniques (PIOMT) in cluster and grid computing
  • Year:
  • 2006

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Abstract

As the rate at which disk drives read and write data is improving at a much slower pace than the speed of processors, I/O has risen to become the bottleneck in high-performance computing for many applications. A possible approach to address this problem is to schedule parallel I/O operations explicitly. To this end, we propose two new I/O scheduling algorithms and evaluate the relative performance of the proposed policies against two baseline policies. Simulation results show that the proposed policies outperform the baseline policies.