Task Scheduling Performance Models
Task Scheduling Performance Models is a formal analytical framework that characterizes the efficiency and effectiveness of task scheduling strategies in computational systems by modeling performance metrics such as execution time, resource utilization, and throughput under varying workload conditions.
59
Publications
2.1K
Citations
152
Authors
82
Institutions
Publications per year
2017–2026
5
Parents
59
The performance of bags-of-tasks in large-scale distributed systems
Alexandru Iosup, Ozan Sonmez, Shanny Anoep et al. · 2008 · 157 citations
Bounds for List Schedules on Uniform Processors
Yookun Cho, Sartaj Sahni · SIAM Journal on Computing · 1980 · 145 citations
A comprehensive model of the supercomputer workload
Walfredo Cirne, Fran Berman · 2001 · 141 citations
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Aristotle University of Thessaloniki
Thessaloniki, Greece
4 h-index
6 publications
128 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
6 publications
314 citations
Ben-Gurion University of the Negev
Beersheba, Israel
2 h-index
3 publications
44 citations
George Washington University
Washington, United States
2 h-index
7 publications
229 citations
Syracuse University
Syracuse, United States
2 h-index
3 publications
52 citations

Beihang University
Beijing, China
2 h-index
3 publications
131 citations

Universidade Federal da Paraíba
João Pessoa, Brazil
2 h-index
2 publications
225 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
2 h-index
2 publications
58 citations
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2 publications · 179 citations
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2 publications · 118 citations
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2 publications · 51 citations
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PER · 2 publications · 26 citations
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1 publications · 19 citations
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