On evaluating decentralized parallel I/O scheduling strategies for parallel file systems
VECPAR'06 Proceedings of the 7th international conference on High performance computing for computational science
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As computation and communication hardware performancecontinue to rapidly increase, I/O represents a growing fraction of application executiontime.This gap between the I/O subsystem and others is expected to increase in future since I/O performanceis limited by physical motion.Therefore,it is imperative that novel techniques for improveingI/O performance be developed.Parallel I/Ois a promising approach to alleviating this bottleneck.However, very little work exist with respectto scheduling parallel I/O operations explicitly.In this paper, we address the problem of effective managementof parallel I/O in cluster computing systemsby using appropriate I/O scheduling strategies.We propose two new I/O scheduling algorithmsand compare them with two existing schedulingApproaches.The preliminary results show thatthe proposed policies outperform existing policiessubstantially.