Hierarchical Caching
Hierarchical Caching is a caching strategy in which cached data is organized across multiple levels or layers of caches arranged in a top-down structure, differing from flat caching approaches by enabling progressively selective data propagation and retrieval based on access latency, locality, and caching policy.
138
Publications
8.4K
Citations
405
Authors
184
Institutions
Publications per year
2017–2026
45
Parents
138
Nikhil Karamchandani, Urs Niesen, Mohammad Ali Maddah-Ali et al. · IEEE Transactions on Information Theory · 2016 · 268 citations
Cooperative Content Caching in 5G Networks with Mobile Edge Computing
Ke Zhang, Supeng Leng, Yejun He et al. · IEEE Wireless Communications · 2018 · 259 citations
1–5 of 138
405
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University of Southern California, United States
3 publications · 379 citations
3
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1–5 of 405
184

Beijing University of Posts and Telecommunications
Beijing, China
8 h-index
28 publications
728 citations
The University of Texas at Austin
Austin, United States
7 h-index
17 publications
1.7K citations
University of California, Los Angeles
Los Angeles, United States
6 h-index
14 publications
910 citations
Wayne State University
Detroit, United States
3 h-index
6 publications
120 citations
Technion – Israel Institute of Technology
Haifa, Israel
3 h-index
6 publications
286 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
3 h-index
8 publications
400 citations
Temple University
Philadelphia, United States
3 h-index
3 publications
197 citations
IBM Research - Haifa
Haifa, Israel
3 h-index
3 publications
143 citations
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5 publications · 885 citations
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4 publications · 202 citations
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4 publications · 323 citations
4
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3 publications · 69 citations
3
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Repository · 3 publications · 67 citations
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