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http://hdl.handle.net/1942/19791
Title: | Optimal Broadcasting Strategies for Conjunctive Queries over Distributed Data | Authors: | KETSMAN, Bas NEVEN, Frank |
Issue Date: | 2015 | Publisher: | Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik | Source: | Arenas, Marcelo; Ugarte, Martín (Ed.). 18th International Conference on Database Theory, p. 291-307 | Series/Report: | LIPIcs | Series/Report no.: | 31 | Abstract: | In a distributed context where data is dispersed over many computing nodes, monotone quer- ies can be evaluated in an eventually consistent and coordination-free manner through a simple but naive broadcasting strategy which makes all data available on every computing node. In this paper, we investigate more economical broadcasting strategies for full conjunctive queries without self-joins that only transmit a part of the local data necessary to evaluate the query at hand. We consider oblivious broadcasting strategies which determine which local facts to broad- cast independent of the data at other computing nodes. We introduce the notion of broadcast dependency set (BDS) as a sound and complete formalism to represent locally optimal oblivious broadcasting functions. We provide algorithms to construct a BDS for a given conjunctive query and study the complexity of various decision problems related to these algorithms. | Keywords: | coordination-free evaluation; conjunctive queries; broadcasting | Document URI: | http://hdl.handle.net/1942/19791 | ISBN: | 978-3-939897-79-8 | DOI: | 10.4230/LIPIcs.ICDT.2015.291 | Rights: | © Bas Ketsman and Frank Neven; licensed under Creative Commons License CC-BY | Category: | C1 | Type: | Proceedings Paper |
Appears in Collections: | Research publications |
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icdt2015broadcast.pdf | 568.05 kB | Adobe PDF | View/Open |
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