Cloud Usage Pattern Mining
Cloud Usage Pattern Mining is a computational method within Cloud Consumption Analytics that identifies, analyzes, and extracts recurring temporal, behavioral, or structural usage behaviors from cloud resource utilization data to optimize cost, performance, and capacity planning.
12
Publications
402
Citations
49
Authors
31
Institutions
Publications per year
2017–2026
6
Parents
12
PerfAugur: Robust diagnostics for performance anomalies in cloud services
Sudip Roy, Arnd Christian König, Igor Dvorkin et al. · 2015 · 51 citations
Cloud Computing Pattern Identification with Machine Learning: A Study
Pardeep Kumar Jindal, Manbir Kaur, Durgesh Srivastava et al. · 2023 · 30 citations
Research and Application of Cloud Storage
Jiabin Deng, Juanli Hu, Anthony Chak Ming Liu et al. · 2010 · 26 citations
1–5 of 12
49
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 49
31

Centre National de la Recherche Scientifique
Paris, France
2 h-index
5 publications
208 citations
Wuhan University
Wuhan, China
1 h-index
1 publications
26 citations

Université du Québec
Québec, Canada
1 h-index
3 publications
42 citations

Data61
Sydney, Australia
1 h-index
2 publications
226 citations
Google (United States)
Mountain View, United States
1 h-index
1 publications
51 citations

Chungbuk National University
Cheongju-si, South Korea
1 h-index
2 publications
30 citations

École Normale Supérieure de Lyon
Lyon, France
1 h-index
3 publications
168 citations
Ericsson (Canada)
Mississauga, Canada
1 h-index
2 publications
28 citations
1–8 of 31
1 publications · 18 citations
1
h-index
FGCS · 1 publications · 14 citations
1
h-index
1 publications · 15 citations
1
h-index
JNCA · 1 publications · 113 citations
1
h-index
1 publications · 20 citations
1
h-index
1–5