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LinKV: An RDMA-Enabled KVS for High Performance and Strict Consistency Under Skew

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

We present LinKV, a novel distributed key-value store that can leverage RDMA network to simultaneously provide high performance and strict consistency (i.e., per-key linearizability) for skewed workloads. To avoid the potential performance loss caused by load imbalance under skew, existing solutions will replicate popular items into different nodes’ caches to support quick and even accesses. But for those writes hitting cache, there will be multiple consistency actions to guarantee linearizability, which degrade the overall performance. In this paper, we present a batch method to make multiple writes amortize those overheads caused by a round of consistency actions. While for reads, we introduce a lease-based scheme to make them quickly return the most recently completed batches of writes. Comparing to the state-of-the-art solutions, LinKV with above strategies can improve the throughput by 1.5 - 3 × and reduce the latency to about 10 % with different write ratios under skew.

源语言英语
主期刊名Web and Big Data - 5th International Joint Conference, APWeb-WAIM 2021, Proceedings
编辑Leong Hou U, Marc Spaniol, Yasushi Sakurai, Junying Chen
出版商Springer Science and Business Media Deutschland GmbH
190-198
页数9
ISBN(印刷版)9783030858957
DOI
出版状态已出版 - 2021
活动5th International Joint Conference on Asia-Pacific Web and Web-Age Information Management, APWeb-WAIM 2021 - Guangzhou, 中国
期限: 23 8月 202125 8月 2021

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12858 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议5th International Joint Conference on Asia-Pacific Web and Web-Age Information Management, APWeb-WAIM 2021
国家/地区中国
Guangzhou
时期23/08/2125/08/21

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