Metric Monitoring is a data observability practice that involves the systematic tracking and evaluation of quantitative indicators to detect anomalies, ensure data quality, and maintain the reliability of data pipelines.
9
Publications
308
Citations
38
Authors
17
Institutions
Publications per year
2017–2026
7
Parents
Publications
9
Smartphone Background Activities in the Wild
Xiaomeng Chen, Abhilash Jindal, Ning Ding et al. · 2015 · 86 citations
David Basin, Felix Klaedtke, Eugen Zălinescu · Kalpa publications in computing · 2018 · 50 citations · Full text
MONIT: Monitoring the CERN Data Centres and the WLCG Infrastructure
A Aimar, Asier Aguado Corman, Pedro Andrade et al. · EPJ Web of Conferences · 2019 · 24 citations · Full text
1–5 of 9
Authors
38
- FB
2
h-index
- ZF
1
h-index
- AA
1
h-index
- YA
1
h-index
- RK
1
h-index
1–5 of 38
Institutions
17
Koç University
Istanbul, Türkiye
2 h-index
4 publications
82 citations
AGH University of Krakow
Krakow, Poland
1 h-index
1 publications
24 citations
European Organization for Nuclear Research
Geneva, Switzerland
1 h-index
6 publications
144 citations
Film Independent
Los Angeles, United States
1 h-index
2 publications
62 citations
Huazhong University of Science and Technology
Wuhan, China
1 h-index
5 publications
75 citations
NEC (Japan)
Tokyo, Japan
1 h-index
1 publications
50 citations
University of Copenhagen
Copenhagen, Denmark
1 h-index
1 publications
15 citations
ETH Zurich
Zurich, Switzerland
1 h-index
1 publications
50 citations
1–8 of 17
Venues
- Kalpa publications in computing
1 publications · 50 citations
1
h-index
- International Journal of Scientific Research in Computer Science Engineering and Information Technology
1 publications · 31 citations
1
h-index
- EPJ Web of Conferences
1 publications · 24 citations
1
h-index
- Consciousness and Cognition
1 publications · 19 citations
1
h-index
- Cognition
1 publications · 22 citations
1
h-index
1–5