Offline Job Scheduling
Offline Job Scheduling is a job scheduling paradigm in which all job characteristics, including arrival times, execution requirements, and deadlines, are known in advance, distinguishing it from online scheduling by enabling globally optimal scheduling decisions through prior knowledge of the entire job set.
18
Publications
680
Citations
60
Authors
26
Institutions
Publications per year
2017–2026
4
Parents
18
Scheduling in mapreduce-like systems for fast completion time
Hyunseok Chang, Murali Kodialam, Ramana Rao Kompella et al. · 2011 · 146 citations
Dynamic pricing and profit maximization for the cloud with geo-distributed data centers
Jian Zhao, Hongxing Li, Chuan Wu et al. · 2014 · 89 citations
1–5 of 18
60
3
h-index
2
h-index
2
h-index
1
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1
h-index
1–5 of 60
26

University of Hong Kong
Pok Fu Lam, Hong Kong
4 h-index
14 publications
703 citations
Dalian University of Technology
Dalian, China
2 h-index
3 publications
145 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
4 publications
338 citations
Tsinghua University
Beijing, China
1 h-index
2 publications
38 citations

Harbin Institute of Technology
Harbin, China
1 h-index
1 publications
23 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
1 h-index
1 publications
19 citations
University of Florida
Gainesville, United States
1 h-index
3 publications
30 citations
Georgia State University
Atlanta, United States
1 h-index
1 publications
23 citations
1–8 of 26
JOS · 2 publications · 73 citations
2
h-index
1 publications · 17 citations
1
h-index
TMCCI · 1 publications · 17 citations
1
h-index
1 publications · 19 citations
1
h-index
NSE · 1 publications · 23 citations
1
h-index
1–5