Research and Advances

Minimal-total-processing time drum and disk scheduling disciplines

This article investigates the application of minimal-total-processing-time (MTPT) scheduling disciplines to rotating storage units when random arrival of requests is allowed. Fixed-head drum and moving-head disk storage units are considered, and emphasis is placed on the relative merits of the MTPT scheduling discipline with respect to the shortest-latency-time-first (SLTF) scheduling discipline. The results of the simulation studies presented show that neither scheduling discipline is unconditionally superior to the other. For most fixed-head drum applications, the SLTF discipline is preferable to MTPT, but for intra-cylinder disk scheduling the MTPT discipline offers a distinct advantage over the SLTF discipline. The computational requirements of an algorithm that implements the MTPT scheduling discipline are shown to be comparable to SLTF algorithms. In both cases, the sorting procedure is the most time-consuming phase of the algorithm.

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Research and Advances

On the near-optimality of the shortest-latency-time-first drum scheduling discipline

For computer systems in which it is practical to determine the instantaneous drum position, a popular discipline for determining the sequence in which the records are to be accessed is the so-called shortest-latency-time-first, SLTF, discipline. When a collection of varying-length records is to be accessed from specified drum positions, it is known that the SLTF discipline does not necessarily minimize the drum latency time. However, we show that the total time to access the entire collection for any SLTF schedule is never as much as a drum revolution longer than a minimum latency schedule.

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