Data Scheduling
Data Scheduling is a computational coordination mechanism that determines the optimal timing, placement, and sequence of data processing tasks across distributed edge devices and infrastructure to minimize latency, conserve bandwidth, and enhance real-time decision-making in edge data processing environments.
349
Publications
16.2K
Citations
1.2K
Authors
487
Institutions
Publications per year
2017–2026
130
349
1–5 of 349
1.2K
University at Buffalo, State University of New York, United States
6 publications · 158 citations
6
h-index
6
h-index
5
h-index
5
h-index
4
h-index
1–5 of 1.2K
487

Harbin Institute of Technology
Harbin, China
12 h-index
22 publications
748 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
12 h-index
23 publications
2.2K citations
Tsinghua University
Beijing, China
11 h-index
38 publications
1.7K citations
Georgia State University
Atlanta, United States
9 h-index
15 publications
923 citations

City University of Hong Kong
Hong Kong, Hong Kong
7 h-index
13 publications
1.2K citations
Sungkyunkwan University
Seoul, South Korea
7 h-index
14 publications
312 citations
Nanyang Technological University
Singapore, Singapore
6 h-index
14 publications
395 citations
University of Wisconsin–Madison
Madison, United States
6 h-index
14 publications
1.8K citations
1–8 of 487
11 publications · 576 citations
11
h-index
TMCCI · 11 publications · 644 citations
11
h-index
TPDS · 8 publications · 458 citations
8
h-index
7 publications · 259 citations
7
h-index
6 publications · 104 citations
6
h-index
1–5