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Optimizing Storage Performance with Calibrated Interrupts

Published:02 March 2022Publication History
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Abstract

After request completion, an I/O device must decide whether to minimize latency by immediately firing an interrupt or to optimize for throughput by delaying the interrupt, anticipating that more requests will complete soon and help amortize the interrupt cost. Devices employ adaptive interrupt coalescing heuristics that try to balance between these opposing goals. Unfortunately, because devices lack the semantic information about which I/O requests are latency-sensitive, these heuristics can sometimes lead to disastrous results.

Instead, we propose addressing the root cause of the heuristics problem by allowing software to explicitly specify to the device if submitted requests are latency-sensitive. The device then “calibrates” its interrupts to completions of latency-sensitive requests. We focus on NVMe storage devices and show that it is natural to express these semantics in the kernel and the application and only requires a modest two-bit change to the device interface. Calibrated interrupts increase throughput by up to 35%, reduce CPU consumption by as much as 30%, and achieve up to 37% lower latency when interrupts are coalesced.

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    • Published in

      cover image ACM Transactions on Storage
      ACM Transactions on Storage  Volume 18, Issue 1
      February 2022
      245 pages
      ISSN:1553-3077
      EISSN:1553-3093
      DOI:10.1145/3512348
      • Editor:
      • Sam H. Noh
      Issue’s Table of Contents

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      Publication History

      • Published: 2 March 2022
      • Accepted: 1 December 2021
      • Received: 1 October 2021
      Published in tos Volume 18, Issue 1

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