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[CAT11] Optimizing large collections of continuous content-based RSS aggregation queries
Conférence Nationale avec comité de lecture : BDA'11, Base de Données Avancées, October 2011, pp.1--19, Rabah, Maroc,Mots clés: RSS, Continuous query, Multi-query optimization, Continuous algebra, Continuous Language, Pub/Sub
Résumé:
In this article we present RoSeS (Really Open Simple and Efficient Syndication), a generic framework for content-based RSS feed querying and aggregation. RoSeS is based on a data-centric approach, using a combination of standard database concepts like declara- tive query languages, views and multi-query optimization. Users create personalized feeds by defining and composing content-based filtering and aggregation queries on collections of RSS feeds. Publishing these queries corresponds to defining views which can then be used for building new queries / feeds. This naturally reflects the publish-subscribe nature of RSS applications. The contributions presented in this article are a declarative RSS feed aggregation language, an extensible stream algebra for building efficient continuous multi- query execution plans for RSS aggregation views, a multi-query optimization strategy for these plans and a running prototype based on a multi-threaded asynchronous execution engine.
Equipe:
vertigo
BibTeX
| @inproceedings { | |||
| CAT11, | |||
| title | = | "{Optimizing large collections of continuous content-based RSS aggregation queries}", | |
| author | = | " J. Creus and B. Amann and N. Travers and D. Vodislav ", | |
| booktitle | = | "{BDA'11, Base de Données Avancées}", | |
| year | = | 2011, | |
| month | = | "October", | |
| pages | = | "1--19", | |
| address | = | "Rabah, Maroc", | |
| } | |||
