On the Parallelism of I/O Scheduling Algorithms in MEMS-Based Large Storage Systems

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Provided by: WSDOT
Topic: Data Management
Format: PDF
MEMS-based storage is being developed as a new storage media that has several salient characteristics such as high-parallelism, high density, and low-power consumption. Because physical structures of MEMS-based storage is different from those of hard disks, new software management techniques for MEMS-based storage are needed. Specifically, MEMS-based storage has thousands of parallel-activating heads, which requires parallelism-aware request scheduling algorithms to maximize the performance of the storage media. In this paper, the authors compare various versions of I/O scheduling algorithms that exploit high-parallelism of MEMS-based storage devices.
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