Scalability Metrics is a quantitative evaluation framework within performance analysis that differentiates itself by specifically measuring the efficiency and effectiveness of a system's ability to handle increasing workloads or scale in size, typically through indicators such as throughput, response time, latency, and resource utilization under varying load conditions.
76
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3.8K
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200
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101
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Publications per year
2017–2026
16
Publications
76
Characteristics of scalability and their impact on performance
André B. Bondi · 2000 · 516 citations
ACM SIGARCH Computer Architecture News · 1990 · 162 citations
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Authors
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- XS
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- DS
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Institutions
101
Lawrence Livermore National Laboratory
Livermore, United States
3 h-index
7 publications
732 citations
University College London
London, United Kingdom
3 h-index
5 publications
221 citations
Carleton University
Ottawa, Canada
2 h-index
3 publications
315 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
2 publications
200 citations
AT&T (United States)
Bedminster, United States
2 h-index
3 publications
566 citations
Keele University
Newcastle-under-Lyme, United Kingdom
2 h-index
4 publications
166 citations
Louisiana State University
Baton Rouge, United States
2 h-index
2 publications
194 citations
The University of Texas at San Antonio
San Antonio, United States
2 h-index
5 publications
130 citations
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Venues
- Journal of Parallel and Distributed Computing
2 publications · 64 citations
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- IEEE Access
2 publications · 75 citations
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- IEEE Transactions on Parallel and Distributed Systems
TPDS · 2 publications · 460 citations
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- Theory and Decision
1 publications · 120 citations
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- Energies
1 publications · 41 citations
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