Efficient and Robust KPI Outlier Detection for Large-Scale Datacenters-Reference-Cited by-同舟云学术

Efficient and Robust KPI Outlier Detection for Large-Scale Datacenters

Published:2023-10 Issue:10 Volume:72 Page:2858-2871
ISSN:0018-9340
Container-title:IEEE Transactions on Computers
language:
Short-container-title:IEEE Trans. Comput.

Author:

Sun Yongqian¹^ORCID,Cheng Daguo²,Yang Tiankai³^ORCID,Ji Yuhe¹,Zhang Shenglin⁴^ORCID,Zhu Man¹,Xiong Xiao¹,Fan Qiliang¹^ORCID,Liang Minghan¹,Pei Dan⁵^ORCID,Ma Tianchi⁶,Chen Yu⁶

Affiliation:

1. College of Software, Nankai University, Tianjin, China

2. Institute for Network Sciences and Cyberspace, Tsinghua University, Beijing, China

3. Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA

4. College of Software, Haihe Laboratory of Information Technology Application Innovation (HL-IT), Nankai University, Tianjin, China

5. Department of Computer Science, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China

6. Kuaishou Technology, Beijing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Tianjin Municipality

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Theoretical Computer Science,Software

Link

http://xplorestaging.ieee.org/ielx7/12/10243393/10113794.pdf?arnumber=10113794

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