Probabilistic Scheduling
Probabilistic Scheduling is a task scheduling approach that belongs to the class of scheduling methods in which uncertainty in task execution times, resource availability, or environmental conditions is explicitly modeled using probability distributions, distinguishing it from deterministic scheduling by incorporating stochastic models to compute the likelihood of meeting temporal constraints.
378
Publications
23.7K
Citations
861
Authors
423
Institutions
Publications per year
2017–2026
87
Parents
378
Scheduling: Theory, Algorithms, and Systems
Michael Pinedo · IIE Transactions · 1996 · 6.3K citations
1–5 of 378
861
12
h-index
8
h-index
Institut national de recherche en sciences et technologies du numérique, France
6 publications · 113 citations
6
h-index
6
h-index
Office National d'Études et de Recherches Aérospatiales, France
5 publications · 75 citations
5
h-index
1–5 of 861
423

Newcastle University
Newcastle upon Tyne, United Kingdom
11 h-index
16 publications
451 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
11 h-index
25 publications
719 citations
Massachusetts Institute of Technology
Cambridge, United States
11 h-index
20 publications
1.1K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
9 h-index
11 publications
339 citations
University of Michigan
Ann Arbor, United States
8 h-index
14 publications
296 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
8 h-index
8 publications
263 citations
University of California, Berkeley
Berkeley, United States
7 h-index
8 publications
684 citations
Purdue University West Lafayette
West Lafayette, United States
7 h-index
16 publications
734 citations
1–8 of 423
11 publications · 1.2K citations
11
h-index
11 publications · 737 citations
11
h-index
8 publications · 427 citations
8
h-index
7 publications · 204 citations
7
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6 publications · 177 citations
6
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1–5