Distributed Placement
Distributed Placement is a strategic optimization approach within edge computing that, as a method, distinguishes itself by allocating services across multiple geographically dispersed edge nodes to minimize latency, balance workloads, and enhance scalability, in contrast to centralized or localized placement strategies.
92
Publications
3.7K
Citations
297
Authors
148
Institutions
Publications per year
2017–2026
45
Parents
92
Cache Placement in Fog-RANs: From Centralized to Distributed Algorithms
Juan Liu, Bo Bai, Jun Zhang et al. · IEEE Transactions on Wireless Communications · 2017 · 147 citations
1–5 of 92
297
National and Kapodistrian University of Athens, Greece
4 publications · 203 citations
4
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3
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2
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2
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2
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1–5 of 297
148

National and Kapodistrian University of Athens
Athens, Greece
5 h-index
11 publications
573 citations
Tianjin University
Tianjin, China
3 h-index
8 publications
267 citations
University of Stuttgart
Stuttgart, Germany
3 h-index
7 publications
266 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
6 publications
82 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
5 publications
122 citations

KTH Royal Institute of Technology
Stockholm, Sweden
2 h-index
4 publications
45 citations

University of Bologna
Bologna, Italy
2 h-index
5 publications
186 citations
University of California, Riverside
Riverside, United States
2 h-index
2 publications
37 citations
1–8 of 148
4 publications · 81 citations
4
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TPDS · 3 publications · 170 citations
3
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2 publications · 164 citations
2
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2 publications · 420 citations
2
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2 publications · 48 citations
2
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1–5