Garbage Collection Tuning
Garbage Collection Tuning is a systematic methodology within performance tuning that optimizes the efficiency and behavior of automatic memory deallocation in managed runtime environments by adjusting garbage collection algorithms, parameters, and policies to minimize pause times, throughput overhead, and memory footprint according to application-specific demands.
20
Publications
603
Citations
50
Authors
20
Institutions
Publications per year
2017–2026
1
Parents
20
Time-triggered garbage collection
Sven Gestegård Robertz, Roger Henriksson · ACM SIGPLAN Notices · 2003 · 64 citations
Tuning garbage collection in an embedded Java environment
Gong Chen, R. Shetty, Mahmut Kandemir et al. · 2002 · 48 citations
Space-Reduction Strategies for Model Checking Dynamic Software
Robby, Matthew B. Dwyer, John Hatcliff et al. · Electronic Notes in Theoretical Computer Science · 2003 · 41 citations · Full text
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20

Lund University
Lund, Sweden
2 h-index
4 publications
198 citations

Pennsylvania State University
State College, United States
2 h-index
10 publications
440 citations

Australian National University
Canberra, Australia
2 h-index
4 publications
58 citations
Microsoft (United States)
Redmond, United States
1 h-index
2 publications
98 citations
Verimag
Gières, France
1 h-index
1 publications
41 citations
The University of Texas at Austin
Austin, United States
1 h-index
2 publications
26 citations

University of Manchester
Manchester, United Kingdom
1 h-index
3 publications
108 citations

The Max Stern Yezreel Valley College
Afula, Israel
1 h-index
1 publications
16 citations
1–8 of 20
2 publications · 77 citations
2
h-index
VAW · 1 publications · 16 citations
1
h-index
1 publications · 44 citations
1
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ENTCS · 1 publications · 41 citations
1
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TECS · 1 publications · 40 citations
1
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