Federated Query Optimization is a query optimization paradigm that belongs to the class of distributed query processing techniques, distinguished by its coordination of query execution plans across autonomous, heterogeneous data sources without centralized control or full schema integration.
20
Publications
1.1K
Citations
65
Authors
29
Institutions
Publications per year
2017–2026
2
Parents
Publications
20
Vanja Josifovski, Peter Schwarz, Laura M. Haas et al. · 2002 · 125 citations
Angelos Charalambidis, Antonis Troumpoukis, Stasinos Konstantopoulos · 2015 · 64 citations
1–5 of 20
Authors
65
- MV
2
h-index
- LM
2
h-index
- GM
2
h-index
- ACAngelos Charalambidis
National and Kapodistrian University of Athens, Greece
1 publications · 64 citations
1
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- AD
1
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1–5 of 65
Institutions
29
IBM (United States)
Armonk, United States
3 h-index
7 publications
712 citations
IBM Research - Almaden
San Jose, United States
3 h-index
11 publications
382 citations
Aalborg University
Aalborg, Denmark
2 h-index
4 publications
115 citations
Simón Bolívar University
Caracas, Venezuela
2 h-index
4 publications
142 citations
Transnational University Limburg
Diepenbeek, Belgium
1 h-index
3 publications
126 citations
Hunan University
Changsha, China
1 h-index
3 publications
51 citations
Honeywell (United States)
Charlotte, United States
1 h-index
2 publications
44 citations
Silicon Valley University
San Jose, United States
1 h-index
2 publications
250 citations
1–8 of 29
Venues
- VBN Forskningsportal (Aalborg Universitet)
Repository · 1 publications · 40 citations
1
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- Information Sciences
1 publications · 11 citations
1
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- The Knowledge Engineering Review
1 publications · 30 citations
1
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- Journal of Web Semantics
1 publications · 22 citations
1
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- Procedia Computer Science
1 publications · 51 citations
1
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