Serverless Benchmarking is a systematic evaluation methodology that quantifies the performance, cost, and scalability characteristics of serverless computing platforms by measuring their behavior under controlled workloads and environmental conditions.
22
Publications
1.1K
Citations
65
Authors
29
Institutions
Publications per year
2017–2026
22
Parents
Publications
22
Benchmarking, analysis, and optimization of serverless function snapshots
Dmitrii Ustiugov, Plamen Petrov, Marios Kogias et al. · 2021 · 153 citations · Full text
Marcin Copik, Grzegorz Kwaśniewski, Maciej Besta et al. · 2021 · 119 citations
Towards Demystifying Serverless Machine Learning Training
2021 · 102 citations · Full text
1–5 of 22
Authors
65
- JS
3
h-index
- PL
2
h-index
- MB
2
h-index
- EV
2
h-index
- WW
2
h-index
1–5 of 65
Institutions
29
The University of Texas at San Antonio
San Antonio, United States
2 h-index
6 publications
125 citations
Chalmers University of Technology
Gothenburg, Sweden
2 h-index
3 publications
218 citations
ETH Zurich
Zurich, Switzerland
2 h-index
12 publications
1.3K citations
University of Gothenburg
Gothenburg, Sweden
2 h-index
3 publications
218 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
1 h-index
1 publications
153 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
1 h-index
1 publications
153 citations
Tallaght University Hospital
Dublin, Ireland
1 h-index
2 publications
96 citations
University of Bologna
Bologna, Italy
1 h-index
3 publications
42 citations
1–8 of 29
Venues
- arXiv (Cornell University)
Repository · 2 publications · 29 citations
2
h-index
- Journal of Software Evolution and Process
JSEP · 1 publications · 22 citations
1
h-index
- The Journal of Supercomputing
1 publications · 48 citations
1
h-index
- Journal of Systems and Software
JSS · 1 publications · 100 citations
1
h-index
- IEEE Internet of Things Journal
1 publications · 14 citations
1
h-index
1–5