Edge Data Placement is a data locality optimization strategy that specifically involves the intentional positioning of data at the network edge, closer to data sources and end-users, to minimize latency, reduce bandwidth consumption, and enhance real-time processing capabilities in distributed edge computing environments.
14
Publications
384
Citations
61
Authors
34
Institutions
Publications per year
2017–2026
13
Parents
Publications
14
Cost-Effective Data Placement in Edge Storage Systems With Erasure Code
Hai Jin, Ruikun Luo, Qiang He et al. · IEEE Transactions on Services Computing · 2022 · 53 citations · Full text
Efficient Data Placement and Retrieval Services in Edge Computing
Junjie Xie, Chen Qian, Deke Guo et al. · 2019 · 32 citations
1–5 of 14
Authors
61
- SY
2
h-index
- CL
1
h-index
- IL
1
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- SC
1
h-index
- AG
1
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1–5 of 61
Institutions
34
Beijing University of Posts and Telecommunications
Beijing, China
2 h-index
6 publications
152 citations
Iran University of Medical Sciences
Tehran, Iran
1 h-index
1 publications
50 citations
Wuhan University of Technology
Wuhan, China
1 h-index
4 publications
88 citations
Hanyang University
Seoul, South Korea
1 h-index
1 publications
49 citations
Sungkyunkwan University
Seoul, South Korea
1 h-index
4 publications
196 citations
National University of Defense Technology
Changsha, China
1 h-index
3 publications
96 citations
State Key Laboratory of Wireless Mobile Communications
Beijing, China
1 h-index
1 publications
32 citations
Cihan University-Erbil
Erbil, Iraq
1 h-index
1 publications
50 citations
1–8 of 34
Venues
- IEEE Transactions on Services Computing
2 publications · 66 citations
2
h-index
- Journal of Grid Computing
1 publications · 50 citations
1
h-index
- Computer Languages
1 publications · 14 citations
1
h-index
- Computer Networks
1 publications · 32 citations
1
h-index
- Concurrency and Computation Practice and Experience
1 publications · 13 citations
1
h-index
1–5