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Towards a Scalable Cloud-based RDF Storage Offering a Pub/Sub Query Service
Authors:
Laurent Pellegrino
Françoise Baude
Iyad Alshabani
Keywords: RDF (Resource Description Framework); Pub- lish/Subscribe; RDF data management; Cloud Computing
Abstract:
Recently, Complex Event Processing engines have gained more and more interest. Their purpose consists in com- bining realtime and historical data in addition to knowledge bases to deduce new information. Also, RDF is now commonly used to make information machine-processable. In this short paper we propose to leverage existing research about distributed storage and realtime filtering of RDF data with the intention of helping Complex Event Processing engines to reach their goal at large scale. Towards this objective, we identify and discuss the challenges that have to be addressed for providing a solution that supports RDF data storage and a pub/sub retrieval service on a cloud-based architecture. Then, we explain how to meet these challenges through a solution based on structured Peer-to-Peer networks. Finally, we discuss the status of our ongoing work whose implementation is realized thanks to ProActive, a mid- dleware for programming cloud-based distributed applications.
Pages: 243 to 246
Copyright: Copyright (c) IARIA, 2012
Publication date: July 22, 2012
Published in: conference
ISSN: 2308-4294
ISBN: 978-1-61208-216-5
Location: Nice, France
Dates: from July 22, 2012 to July 27, 2012