Data Locality Management
Data Locality Management is a computational optimization strategy in edge serverless computing that governs the proximity and placement of function execution relative to data sources to minimize latency, bandwidth consumption, and data movement across distributed edge infrastructures.
110
Publications
6.6K
Citations
387
Authors
166
Institutions
Publications per year
2017–2026
26
Parents
110
Mesos: a platform for fine-grained resource sharing in the data center
Benjamin Hindman, Andy Konwinski, Matei Zaharia et al. · UC Berkeley · 2011 · 1.6K citations
Job Scheduling for Multi-User MapReduce Clusters
Matei Zaharia, Dhruba Borthakur, Joydeep Sen Sarma et al. · 2009 · 324 citations
SpArch: Efficient Architecture for Sparse Matrix Multiplication
Zhekai Zhang, Hanrui Wang, Song Han et al. · 2020 · 257 citations
1–5 of 110
387
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166
Stanford University
Stanford, United States
7 h-index
26 publications
2.7K citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
14 publications
756 citations

Lawrence Berkeley National Laboratory
Berkeley, United States
5 h-index
9 publications
390 citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
10 publications
555 citations

Huazhong University of Science and Technology
Wuhan, China
4 h-index
18 publications
806 citations
Argonne National Laboratory
Lemont, United States
4 h-index
6 publications
363 citations
Intel (United States)
Santa Clara, United States
4 h-index
9 publications
354 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
4 h-index
6 publications
271 citations
1–8 of 166
5 publications · 77 citations
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TPDS · 3 publications · 133 citations
3
h-index
3 publications · 138 citations
3
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PVLDB · 2 publications · 209 citations
2
h-index
Repository · 2 publications · 26 citations
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1–5