Workload-aware Placement
Workload-Aware Placement is a data distribution strategy in geo-distributed databases that determines the optimal physical location of data and computation by dynamically analyzing and adapting to the spatial and temporal patterns of application workloads.
62
Publications
4K
Citations
244
Authors
107
Institutions
Publications per year
2017–2026
12
Parents
62
On the placement of Web server replicas
Lili Qiu, Venkata N. Padmanabhan, Geoff Voelker · 2002 · 805 citations
A hierarchical edge cloud architecture for mobile computing
Tong Liang, Yong Li, Wei Gao · 2016 · 529 citations
Workload Analysis and Demand Prediction of Enterprise Data Center Applications
Daniel Gmach, Jerry Rolia, Ludmila Cherkasova et al. · 2007 · 312 citations
RCFile: A fast and space-efficient data placement structure in MapReduce-based warehouse systems
Yongqiang He, Rubao Lee, Yin Huai et al. · 2011 · 258 citations
1–5 of 62
244
3
h-index
3
h-index
Rutgers, The State University of New Jersey, United States
2 publications · 105 citations
2
h-index
2
h-index
2
h-index
1–5 of 244
107
IBM (United States)
Armonk, United States
5 h-index
11 publications
271 citations
Hewlett-Packard (United States)
Palo Alto, United States
4 h-index
10 publications
1.2K citations
IBM Research - India
New Delhi, India
3 h-index
5 publications
64 citations
University of Wisconsin–Madison
Madison, United States
3 h-index
4 publications
278 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
3 h-index
11 publications
1.3K citations

National Taiwan University
Taipei, Taiwan
3 h-index
5 publications
176 citations

Southeast University
Nanjing, China
2 h-index
7 publications
163 citations
Academia Sinica
Taipei, Taiwan
2 h-index
3 publications
80 citations
1–8 of 107
FGCS · 4 publications · 247 citations
4
h-index
2 publications · 87 citations
2
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PVLDB · 2 publications · 77 citations
2
h-index
2 publications · 33 citations
2
h-index
1 publications · 15 citations
1
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1–5