Network-aware Scheduling
Network-Aware Scheduling is a scheduling methodology that optimizes task placement and resource allocation in distributed computing environments by explicitly incorporating network topology, bandwidth constraints, and data transfer costs to minimize latency and maximize data locality, particularly within cluster, edge-cloud, and federated infrastructure contexts.
148
Publications
5.9K
Citations
434
Authors
199
Institutions
Publications per year
2017–2026
59
148
Dynamic scheduling of network updates
Xin Jin, Hongqiang Harry Liu, Rohan Gandhi et al. · 2014 · 333 citations · Full text
Decentralized task-aware scheduling for data center networks
Fahad R. Dogar, Thomas Karagiannis, Hitesh Ballani et al. · 2014 · 247 citations · Full text
1–5 of 148
434
Universidad Nacional de Educación a Distancia, Spain
6 publications · 134 citations
6
h-index
5
h-index
5
h-index
5
h-index
Hong Kong University of Science and Technology, Hong Kong SAR China
4 publications · 101 citations
4
h-index
1–5 of 434
199

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
7 h-index
23 publications
854 citations
University of Southern California
Los Angeles, United States
6 h-index
18 publications
398 citations
University of Castilla-La Mancha
Ciudad Real, Spain
5 h-index
15 publications
306 citations

University of Toronto
Toronto, Canada
5 h-index
9 publications
296 citations

Ghent University
Ghent, Belgium
5 h-index
19 publications
1.2K citations
Georgia Institute of Technology
Atlanta, United States
4 h-index
4 publications
62 citations
Microsoft (United States)
Redmond, United States
4 h-index
14 publications
2.3K citations
Purdue University West Lafayette
West Lafayette, United States
4 h-index
7 publications
541 citations
1–8 of 199
TPDS · 4 publications · 175 citations
4
h-index
FGCS · 4 publications · 99 citations
4
h-index
4 publications · 495 citations
4
h-index
4 publications · 87 citations
4
h-index
3 publications · 170 citations
3
h-index
1–5