Scalability Benchmarking is a systematic evaluation framework that measures and analyzes the performance of a system, algorithm, or model under varying scales of workload or resource constraints to assess its ability to maintain efficiency and effectiveness as scale increases.
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Publications
630
Citations
67
Authors
41
Institutions
Publications per year
2017–2026
6
Publications
23
A scalability benchmark suite for Erlang/OTP
Stavros Aronis, Nikolaos Papaspyrou, Katerina Roukounaki et al. · 2012 · 39 citations · Full text
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Authors
67
- SH
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- WH
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- NJ
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1–5 of 67
Institutions
41
Comcast (United States)
Philadelphia, United States
2 h-index
2 publications
51 citations
Christian-Albrechts-Universität zu Kiel
Kiel, Germany
2 h-index
4 publications
120 citations
University of Stuttgart
Stuttgart, Germany
1 h-index
3 publications
39 citations
National Technical University of Athens
Athens, Greece
1 h-index
5 publications
195 citations
University of California, Los Angeles
Los Angeles, United States
1 h-index
1 publications
41 citations
Nanjing University of Posts and Telecommunications
Nanjing, China
1 h-index
1 publications
41 citations
University of Delaware
Newark, United States
1 h-index
1 publications
19 citations
ETH Zurich
Zurich, Switzerland
1 h-index
1 publications
26 citations
1–8 of 41
Venues
- Journal of Parallel and Distributed Computing
2 publications · 49 citations
2
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- Digital Access to Scholarship at Harvard (DASH) (Harvard University)
Repository · 1 publications · 30 citations
1
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- Communications of the ACM
1 publications · 31 citations
1
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- IEEE Systems Journal
ISJ · 1 publications · 41 citations
1
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- International Symposium on Performance Evaluation of Computer and Telecommunication Systems
Conference · 1 publications · 11 citations
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