Scalable Load Balancing
Scalable Load Balancing is a load balancing strategy that belongs to the class of distributed resource allocation mechanisms, distinguished by its ability to maintain performance efficiency and system responsiveness under increasing workloads by dynamically adapting to system growth without requiring proportional increases in management overhead.
90
Publications
3.4K
Citations
245
Authors
115
Institutions
Publications per year
2017–2026
16
Parents
90
James Dinan, D. Brian Larkins, P. Sadayappan et al. · 2009 · 267 citations
Heterogeneity and load balance in distributed hash tables
P. Brighten Godfrey, Ion Stoica · 2005 · 136 citations
1–5 of 90
245
University of Illinois Urbana-Champaign, United States
4 publications · 184 citations
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3
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3
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3
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2
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1–5 of 245
115
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
12 publications
620 citations
IBM (United States)
Armonk, United States
4 h-index
6 publications
214 citations

Beijing University of Posts and Telecommunications
Beijing, China
3 h-index
7 publications
255 citations

University of Rome Tor Vergata
Rome, Italy
3 h-index
4 publications
348 citations

University of Minnesota
Minneapolis, United States
3 h-index
7 publications
588 citations

Lawrence Livermore National Laboratory
Livermore, United States
3 h-index
4 publications
124 citations
Argonne National Laboratory
Lemont, United States
3 h-index
8 publications
166 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
2 h-index
2 publications
202 citations
1–8 of 115
TPDS · 3 publications · 117 citations
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3 publications · 291 citations
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TON · 2 publications · 46 citations
2
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1 publications · 26 citations
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Conference · 1 publications · 35 citations
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