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|Title=Networks of Linked Data Eddies: An Adaptive Web Query Processing Engine for RDF Data | |Title=Networks of Linked Data Eddies: An Adaptive Web Query Processing Engine for RDF Data | ||
|Year=2015 | |Year=2015 | ||
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|Organization=International Semantic Web Conference | |Organization=International Semantic Web Conference | ||
|Publisher=Springer | |Publisher=Springer | ||
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|Link=http://link.springer.com/chapter/10.1007/978-3-319-25007-6_7#page-1 | |Link=http://link.springer.com/chapter/10.1007/978-3-319-25007-6_7#page-1 | ||
|DOI Name=10.1007/978-3-319-25007-6_7 | |DOI Name=10.1007/978-3-319-25007-6_7 | ||
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Aktuelle Version vom 30. April 2018, 16:50 Uhr
Networks of Linked Data Eddies: An Adaptive Web Query Processing Engine for RDF Data
Networks of Linked Data Eddies: An Adaptive Web Query Processing Engine for RDF Data
Published: 2015
Oktober
Buchtitel: The Semantic Web – ISWC 2015
Seiten: 111-127
Verlag: Springer
Organisation: International Semantic Web Conference
Referierte Veröffentlichung
Kurzfassung
Client-side query processing techniques that rely on the materialization of fragments of the original RDF dataset provide a promising solution for Web query processing. However, because of unexpected data transfers, the traditional optimize-then-execute paradigm, used by exist- ing approaches, is not always applicable in this context, i.e., performance of client-side execution plans can be negatively affected by live conditions where rate at which data arrive from sources change. We tackle adaptivity for client-side query processing, and present a network of Linked Data Eddies that is able to adjust query execution schedulers to data avail- ability and runtime conditions. Experimental studies suggest that the network of Linked Data Eddies outperforms static Web query schedulers in scenarios with unpredictable transfer delays and data distributions.
Download: Media:Acosta_vidal_iswc2015.pdf
Weitere Informationen unter: Link
DOI Link: 10.1007/978-3-319-25007-6_7