Scalability Optimization
Scalability Optimization is a systematic approach within performance optimization that enhances the ability of virtualized or web systems to maintain efficiency and responsiveness under increasing workloads by identifying and eliminating bottlenecks in resource allocation, utilization, and distribution.
79
Publications
3.3K
Citations
252
Authors
110
Institutions
Publications per year
2017–2026
18
79
Server Engineering Insights for Large-Scale Online Services
Christos Kozyrakis, Aman Kansal, Sriram Sankar et al. · IEEE Micro · 2010 · 108 citations
Performance Modeling and Scalability Optimization of Distributed Deep Learning Systems
Feng Yan, Olatunji Ruwase, Yuxiong He et al. · 2015 · 107 citations
1–5 of 79
252
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h-index
3
h-index
IBM Research - Thomas J. Watson Research Center, United States
2 publications · 57 citations
2
h-index
2
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2
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1–5 of 252
110
University of Maryland, College Park
College Park, United States
2 h-index
4 publications
114 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
2 h-index
5 publications
164 citations
Williams (United States)
Tulsa, United States
2 h-index
2 publications
157 citations
Northwestern University
Evanston, United States
2 h-index
2 publications
38 citations
Intel (United States)
Santa Clara, United States
2 h-index
4 publications
308 citations
Stanford University
Stanford, United States
2 h-index
2 publications
132 citations

Paderborn University
Paderborn, Germany
2 h-index
4 publications
110 citations
Microsoft (United States)
Redmond, United States
2 h-index
6 publications
645 citations
1–8 of 110
TON · 3 publications · 837 citations
3
h-index
2 publications · 33 citations
2
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2 publications · 61 citations
2
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Repository · 1 publications · 13 citations
1
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Repository · 1 publications · 41 citations
1
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1–5