Layered Contention Mitigation for Cloud Storage

Q1 Computer Science

IEEE Cloud Computing Pub Date : 2022-07-01 DOI:10.1109/CLOUD55607.2022.00036

Meng Wang, Cesar A. Stuardo, D. Kurniawan, Ray A. O. Sinurat, Haryadi S. Gunawi

引用次数: 0

Abstract

We introduce an ecosystem of contention mitigation supports within the operating system, runtime and library layers. This ecosystem provides an end-to-end request abstraction that enables a uniform type of contention mitigation capabilities, namely request cancellation and delay prediction, that can be stackable together across multiple resource layers. Our evaluation shows that in our ecosystem, multi-resource storage applications are faster by 5-70% starting at 90P (the 90thpercentile) compared to popular practices such as speculative execution and is only 3% slower on average compared to a best-case (no contention) scenario.

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云存储的分层争用缓解

我们在操作系统、运行时和库层中引入了一个争用缓解支持生态系统。该生态系统提供端到端请求抽象，支持统一类型的争用缓解功能，即请求取消和延迟预测，可以跨多个资源层堆叠在一起。我们的评估表明，在我们的生态系统中，多资源存储应用程序从90P(第90百分位数)开始比投机执行等流行实践快5-70%，与最佳情况(无争用)场景相比，平均只慢3%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Cloud Computing Computer Science-Computer Networks and Communications

CiteScore

11.20

自引率

0.00%

发文量

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