Structured Logging
Structured Logging is a logging methodology that organizes log data into a standardized, machine-readable format—typically using key-value pairs or JSON—to enable efficient parsing, querying, and analysis in containerized environments.
12
Publications
584
Citations
51
Authors
16
Institutions
Publications per year
2017–2026
10
Parents
12
Tianzhu Zhang, Han Qiu, Gabriele Castellano et al. · IEEE Transactions on Knowledge and Data Engineering · 2023 · 68 citations
Navigating the Data Lake with DATAMARAN
Yihan Gao, Silu Huang, Aditya Parameswaran · 2018 · 50 citations · Full text
HyLog: a high performance approach to managing disk layout
Wenguang Wang, Zhao Yanping, Rick Bunt · 2004 · 49 citations
Shimin Tao, Weibin Meng, Yimeng Cheng et al. · ACM SIGMETRICS Performance Evaluation Review · 2022 · 38 citations
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16
Huawei Technologies (China)
Shenzhen, China
4 h-index
9 publications
520 citations
Chinese University of Hong Kong, Shenzhen
Shenzhen, China
2 h-index
4 publications
924 citations
Tsinghua University
Beijing, China
2 h-index
2 publications
106 citations

Beijing University of Posts and Telecommunications
Beijing, China
2 h-index
6 publications
153 citations
Virginia Tech
Blacksburg, United States
1 h-index
5 publications
145 citations
Flanders Make (Belgium)
Lommel, Belgium
1 h-index
2 publications
46 citations

Zhejiang University
Hangzhou, China
1 h-index
1 publications
25 citations

University of Toronto
Toronto, Canada
1 h-index
1 publications
38 citations
1–8 of 16
Conference · 1 publications · 29 citations
1
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TDSC · 1 publications · 231 citations
1
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PER · 1 publications · 38 citations
1
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TKDE · 1 publications · 68 citations
1
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1 publications · 22 citations
1
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