ByteSeries: An In-Memory Time Series Database for Large-Scale Monitoring Systems

Xuanhua Shi; Zezhao Feng; Kaixi Li; Yongluan Zhou; Hai Jin; Yan Jiang; Bingsheng He; Zhijun Ling; Xin Li

doi:10.1145/3419111.3421289

ByteSeries: An In-Memory Time Series Database for Large-Scale Monitoring Systems

Xuanhua Shi, Zezhao Feng, Kaixi Li, Yongluan Zhou, Hai Jin, Yan Jiang, Bingsheng He, Zhijun Ling, Xin Li

Software, Data, People & Society

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

11 Citations (Scopus)

1242 Downloads (Pure)

Original language	English
Title of host publication	SoCC '20: Proceedings of the 11th ACM Symposium on Cloud Computing
Publisher	Association for Computing Machinery
Publication date	2020
Pages	60-73
ISBN (Electronic)	978-1-4503-8137-6
DOIs	https://doi.org/10.1145/3419111.3421289
Publication status	Published - 2020
Event	1th ACM Symposium on Cloud Computing - Virtuel Event, United States Duration: 19 Oct 2020 → 21 Oct 2020

Conference

Conference	1th ACM Symposium on Cloud Computing
Country/Territory	United States
City	Virtuel Event
Period	19/10/2020 → 21/10/2020

Access to Document

10.1145/3419111.3421289

ByteSeries_v_final

Cite this

ByteSeries : An In-Memory Time Series Database for Large-Scale Monitoring Systems. / Shi, Xuanhua; Feng, Zezhao; Li, Kaixi; Zhou, Yongluan; Jin, Hai; Jiang, Yan; He, Bingsheng; Ling, Zhijun; Li, Xin.

SoCC '20: Proceedings of the 11th ACM Symposium on Cloud Computing. Association for Computing Machinery, 2020. p. 60-73.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Shi, X, Feng, Z, Li, K, Zhou, Y, Jin, H, Jiang, Y, He, B, Ling, Z & Li, X 2020, ByteSeries: An In-Memory Time Series Database for Large-Scale Monitoring Systems. in SoCC '20: Proceedings of the 11th ACM Symposium on Cloud Computing. Association for Computing Machinery, pp. 60-73, 1th ACM Symposium on Cloud Computing, Virtuel Event, United States, 19/10/2020. https://doi.org/10.1145/3419111.3421289

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