Distributed Process Scheduling
Distributed Process Scheduling is a scheduling paradigm in distributed operating systems that orchestrates the allocation and execution of processes across interconnected nodes to optimize resource utilization, minimize latency, and ensure load balancing, distinguished from centralized or local scheduling by its inherent reliance on global system state and inter-node coordination.
31
Publications
1.7K
Citations
73
Authors
33
Institutions
Publications per year
2017–2026
3
31
The timed asynchronous distributed system model
Flaviu Cristian, Christof Fetzer · 2002 · 266 citations
Dynamic end-to-end guarantees in distributed real time systems
Marco Di Natale, Stanković · 1994 · 168 citations
1–5 of 31
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Universidade Estadual de Campinas (UNICAMP), Brazil
1 publications · 11 citations
1
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1
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1–5 of 73
33
Purdue University West Lafayette
West Lafayette, United States
2 h-index
2 publications
84 citations
University of California San Diego
San Diego, United States
2 h-index
4 publications
1.1K citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
1 h-index
2 publications
148 citations
Virginia Tech
Blacksburg, United States
1 h-index
2 publications
56 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
2 publications
208 citations

Universidade Estadual de Campinas (UNICAMP)
Campinas, Brazil
1 h-index
3 publications
33 citations
Jožef Stefan Institute
Ljubljana, Slovenia
1 h-index
1 publications
12 citations
Institut Mines-Télécom
Palaiseau, France
1 h-index
3 publications
39 citations
1–8 of 33
TPDS · 2 publications · 326 citations
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Conference · 1 publications · 14 citations
1
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1 publications · 29 citations
1
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TOCS · 1 publications · 82 citations
1
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1 publications · 17 citations
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