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Optimal Read-Once Parallel Disk Scheduling

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Abstract

An optimal prefetching and I/O scheduling algorithm L-OPT, for parallel I/O systems, using a read-once model of block references is presented. The algorithm uses knowledge of the next $L$ references, $L$-block lookahead, to create a minimal-length I/O schedule. For a system with $D$ disks and a buffer of capacity $m$ blocks, we show that the competitive ratio of L-OPT is $\Theta(\sqrt{mD/L})$ when $L \geq m$, which matches the lower bound of any prefetching algorithm with $L$-block lookahead. Tight bounds for the remaining ranges of lookahead are also presented. In addition we show that L-OPT is the optimal offline algorithm: when the lookahead consists of the entire reference string, it performs the absolute minimum possible number of I/Os. Finally, we show that L-OPT is comparable with the best online algorithm with the same amount of lookahead; the ratio of the length of its schedule to the length of the optimal schedule is always within a constant factor.

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Correspondence to Mahesh Kallahalla or Peter J. Varman.

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Kallahalla, M., Varman, P. Optimal Read-Once Parallel Disk Scheduling. Algorithmica 43, 309–343 (2005). https://doi.org/10.1007/s00453-004-1129-7

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  • DOI: https://doi.org/10.1007/s00453-004-1129-7

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