Stochastic Batch Scheduling
Stochastic Batch Scheduling is a batch scheduling framework in which job processing times, arrival times, or other parameters are modeled as random variables, distinguishing it from deterministic batch scheduling by explicitly incorporating uncertainty into the scheduling decision process.
7
Publications
485
Citations
18
Authors
12
Institutions
Publications per year
2017–2026
0
Parents
7
1–5 of 7
18
2
h-index
Rutgers, The State University of New Jersey, United States
1 publications · 20 citations
1
h-index
1
h-index
London School of Economics and Political Science, United Kingdom
1 publications · 56 citations
1
h-index
1
h-index
1–5 of 18
12

Imperial College London
London, United Kingdom
2 h-index
4 publications
96 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
1 publications
294 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
1 h-index
5 publications
160 citations

Sultan Qaboos University
Muscat, Oman
1 h-index
1 publications
294 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
1 h-index
2 publications
74 citations
University of Oklahoma
Norman, United States
1 h-index
5 publications
160 citations

Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
1 h-index
1 publications
10 citations
Samsung (South Korea)
Seoul, South Korea
1 h-index
1 publications
36 citations
1–8 of 12
2 publications · 93 citations
2
h-index
2 publications · 56 citations
2
h-index
1 publications · 294 citations
1
h-index
1 publications · 10 citations
1
h-index
1 publications · 32 citations
1
h-index
1–5