Towards optimal I/O scheduling for MEMS-based storage
Hailing Yu; Agrawal, D.; El Abbadi, A.
Mass Storage Systems and Technologies, 2003. (MSST 2003). Proceedings. 20th IEEE/11th NASA Goddard Conference on
Volume , Issue , 7-10 April 2003 Page(s): 58 - 61
Digital Object Identifier  
Summary: MEMS-based storage devices are currently being developed to narrow the gap between processor and disk speeds. MEMS-based storage devices have a different architecture from disk devices, thus algorithms, such as I/O scheduling and data placement, designed for disks need to be revisited. In this paper we focus on developing an I/O scheduling algorithm for MEMS-based storage devices. Our theoretical analysis shows that this algorithm is guaranteed to perform within twice the optimal time for any workload.

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