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VIOS: A Variation-Aware I/O Scheduler for Flash-Based Storage Systems

Abstract : NAND flash memory has gained widespread acceptance in storage systems because of its superior write/read performance, shock-resistance and low-power consumption. I/O scheduling for Solid State Drives (SSDs) has received much attention in recent years for its ability to take advantage of the rich parallelism within SSDs. However, most state-of-the-art I/O scheduling algorithms are oblivious to the increasingly significant inter-block variation introduced by the advanced technology scaling. This paper proposes a variation-aware I/O scheduler by exploiting the speed variation among blocks to minimize the access conflict latency of I/O requests. The proposed VIOS schedules I/O requests into a hierarchical-batch structured queue to preferentially exploit channel-level parallelism, followed by chip-level parallelism. Moreover, conflict write requests are allocated to faster blocks to reduce access conflict of waiting requests. Experimental results shows that VIOS reduces write latency significantly compared to state-of-the-art I/O schedulers while attaining high read efficiency.
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Submitted on : Friday, November 24, 2017 - 4:48:52 PM
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Jinhua Cui, Weiguo Wu, Shiqiang Nie, Jianhang Huang, Zhuang Hu, et al.. VIOS: A Variation-Aware I/O Scheduler for Flash-Based Storage Systems. 13th IFIP International Conference on Network and Parallel Computing (NPC), Oct 2016, Xi'an, China. pp.3-16, ⟨10.1007/978-3-319-47099-3_1⟩. ⟨hal-01647995⟩



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