Edge Resource Scheduling
Edge Resource Scheduling is a computational orchestration framework that dynamically allocates and manages heterogeneous resources at distributed edge nodes to optimize service latency, energy efficiency, and workload balance in cloud edge networking environments.
368
Publications
16.1K
Citations
1.2K
Authors
504
Institutions
Publications per year
2017–2026
358
Parents
368
Resource Scheduling in Edge Computing: A Survey
Quyuan Luo, Shihong Hu, Changle Li et al. · IEEE Communications Surveys & Tutorials · 2021 · 517 citations
Marcos Dias de Assunção, Alexandre da Silva Veith, Rajkumar Buyya · Journal of Network and Computer Applications · 2017 · 300 citations · Full text
Dynamic service migration and workload scheduling in edge-clouds
Rahul Urgaonkar, Shiqiang Wang, Ting He et al. · Performance Evaluation · 2015 · 257 citations
1–5 of 368
1.2K
13
h-index
10
h-index
5
h-index
5
h-index
4
h-index
1–5 of 1.2K
504

Beijing University of Posts and Telecommunications
Beijing, China
15 h-index
55 publications
2.5K citations

Shanghai Jiao Tong University
Shanghai, China
15 h-index
43 publications
1.4K citations
Wuhan University of Technology
Wuhan, China
15 h-index
43 publications
1.7K citations

University of Electronic Science and Technology of China
Chengdu, China
11 h-index
35 publications
2.6K citations

National University of Defense Technology
Changsha, China
9 h-index
34 publications
1.1K citations

Huazhong University of Science and Technology
Wuhan, China
7 h-index
16 publications
1.2K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
7 h-index
12 publications
471 citations

Sun Yat-sen University
Guangzhou, China
7 h-index
11 publications
865 citations
1–8 of 504
21 publications · 1.5K citations
19
h-index
FGCS · 20 publications · 1.1K citations
17
h-index
12 publications · 438 citations
12
h-index
TMCCI · 9 publications · 279 citations
10
h-index
7 publications · 383 citations
8
h-index
1–5