Geo-distributed Placement
Geo-Distributed Placement is a workload placement strategy that optimizes the allocation of computational tasks across geographically dispersed data centers to minimize latency, reduce bandwidth costs, and balance global workloads while adhering to service-level objectives and data residency constraints.
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2.3K
Citations
165
Authors
79
Institutions
Publications per year
2017–2026
30
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Volley: automated data placement for geo-distributed cloud services
Sharad Agarwal, John Dunagan, Navendu Jain et al. · 2010 · 328 citations
Low Latency Geo-distributed Data Analytics
Qifan Pu, Ganesh Ananthanarayanan, Peter Bodík et al. · 2015 · 247 citations
Low Latency Geo-distributed Data Analytics
Qifan Pu, Ganesh Ananthanarayanan, Peter Bodík et al. · ACM SIGCOMM Computer Communication Review · 2015 · 175 citations · Full text
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Microsoft (United States)
Redmond, United States
4 h-index
15 publications
3.4K citations

Shanghai Jiao Tong University
Shanghai, China
3 h-index
1 publications
12 citations

University of Aizu
Fukushima, Japan
3 h-index
8 publications
692 citations
Tianjin University
Tianjin, China
3 h-index
10 publications
269 citations

Qatar University
Doha, Qatar
2 h-index
10 publications
150 citations

University of Toronto
Toronto, Canada
2 h-index
3 publications
670 citations

University of Victoria
Victoria, Canada
2 h-index
4 publications
126 citations
Dalian University of Technology
Dalian, China
2 h-index
5 publications
162 citations
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PVLDB · 2 publications · 49 citations
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TPDS · 2 publications · 59 citations
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JNCA · 2 publications · 50 citations
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2 publications · 42 citations
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2 publications · 59 citations
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