Global Query Processing is a method in geo-distributed databases that coordinates the execution of queries across multiple geographically dispersed data centers by optimizing query plans for low latency, high availability, and consistency while accounting for data locality and network costs.
28
Publications
1.2K
Citations
56
Authors
34
Institutions
Publications per year
2017–2026
1
Parents
Publications
28
Timos Sellis · ACM SIGMOD Record · 1986 · 71 citations · Full text
On global multidatabase query optimization
Hongjun Lü, Beng Chin Ooi, Cheng-Hian Goh · ACM SIGMOD Record · 1992 · 44 citations
1–5 of 28
Authors
56
- QZ
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- PL
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- CH
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- CE
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- SM
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1–5 of 56
Institutions
34
University of Waterloo
Waterloo, Canada
6 h-index
10 publications
240 citations
University of Michigan–Dearborn
Dearborn, United States
3 h-index
3 publications
92 citations
Rensselaer Polytechnic Institute
Troy, United States
3 h-index
5 publications
135 citations
Middle East Technical University
Ankara, Türkiye
2 h-index
21 publications
509 citations
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
107 citations
National University of Singapore
Singapore, Singapore
2 h-index
5 publications
148 citations
Australian Defence Force Academy
Canberra, Australia
1 h-index
2 publications
60 citations
National Tsing Hua University
Hsinchu, Taiwan
1 h-index
2 publications
20 citations
1–8 of 34
Venues
- ACM SIGMOD Record
4 publications · 155 citations
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- Distributed and Parallel Databases
2 publications · 58 citations
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- IBM Systems Journal
1 publications · 23 citations
1
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- IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans
1 publications · 29 citations
1
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- Journal of Intelligent Information Systems
1 publications · 284 citations
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