Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/6830
Title: Adaptive join operator for federated queries over linked data endpoints
Authors: Oğuz, Damla
Yin, Shaoyi
Hameurlain, Abdelkader
Ergenç, Belgin
Dikenelli, Oğuz
Keywords: Adaptive query optimization
Distributed query processing
Join methods
Linked data
Query federation
Issue Date: 2016
Publisher: Springer Verlag
Source: Oğuz, D., Yin, S., Hameurlain, A., Ergenç, B., and Dikenelli, O. (2016, August 28-31). Adaptive join operator for federated queries over linked data endpoints. Paper presented at the 20th East European Conference on Advances in Databases and Information Systems, ADBIS 2016. doi:10.1007/978-3-319-44039-2_19
Abstract: Traditional static query optimization is not adequate for query federation over linked data endpoints due to unpredictable data arrival rates and missing statistics. In this paper, we propose an adaptive join operator for federated query processing which can change the join method during the execution. Our approach always begins with symmetric hash join in order to produce the first result tuple as soon as possible and changes the join method as bind join when it estimates that bind join is more efficient than symmetric hash join for the rest of the process. We compare our approach with symmetric hash join and bind join. Performance evaluation shows that our approach provides optimal response time and has the adaptation ability to the different data arrival rates.
Description: 20th East European Conference on Advances in Databases and Information Systems, ADBIS 2016; Prague; Czech Republic; 28 August 2016 through 31 August 2016
URI: http://doi.org/10.1007/978-3-319-44039-2_19
http://hdl.handle.net/11147/6830
ISSN: 0302-9743
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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