Distributed System Tuning
Distributed System Tuning is a methodological framework within performance tuning that specializes in optimizing the efficiency, scalability, and reliability of distributed systems by systematically adjusting configuration parameters, resource allocation strategies, and communication protocols across interconnected nodes.
40
Publications
3.1K
Citations
139
Authors
59
Institutions
Publications per year
2017–2026
5
Parents
40
Starfish: A Self-tuning System for Big Data Analytics.
Herodotos Herodotou, Harold Lim, Gang Luo et al. · 2011 · 573 citations
Wook-Shin Han, Sangyeon Lee, Kyungyeol Park et al. · 2013 · 263 citations
Magpie: online modelling and performance-aware systems
Paul Barham, Rebecca Isaacs, Richard Mortier et al. · 2003 · 174 citations
Automatically Tuned Collective Communications
Sathish Vadhiyar, Graham E. Fagg, Jack Dongarra · 2000 · 148 citations
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59
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
5 publications
280 citations
Seoul National University
Seoul, South Korea
3 h-index
10 publications
300 citations
Microsoft (United States)
Redmond, United States
3 h-index
7 publications
774 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
5 publications
180 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
2 h-index
3 publications
232 citations

Delft University of Technology
Delft, The Netherlands
2 h-index
7 publications
136 citations

University of British Columbia
Vancouver, Canada
2 h-index
2 publications
113 citations
Queen's University
Kingston, Canada
1 h-index
1 publications
16 citations
1–8 of 59
EL · 1 publications · 11 citations
1
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1 publications · 558 citations
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1 publications · 51 citations
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JSS · 1 publications · 29 citations
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1 publications · 21 citations
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