Distributed Query Processing on the Cloud: the Optique Point of View
Authors: 
H. Kllapi
Authors: 
D. Bilidas
Authors: 
I. Horrocks
Authors: 
Y. Ioannidis
Authors: 
E. Jiménez-Ruiz
Authors: 
E. Kharlamov
Authors: 
M. Koubarakis
Authors: 
D. Zheleznyakov
Date published: 
2013
Published In: 
In OWL Experiences and Directions Workshop (OWLED 2013). Montpellier, France. May 26-30
Type: 
Conference Article
Abstract: 
The Optique European project aims at providing an end-to-end solution for scalable access to Big Data integration, where end users will formulate queries based on a familiar conceptualization of the underlying domain. From the users’ queries the Optique platform will automatically generate appropriate queries over the underlying integrated data, optimize and execute them on the Cloud. In this paper we present the distributed query processing engine of the Optique platform. The efficient execution of complex queries posed by end users is an important and challenging task. The engine aims at providing a scalable solution for query execution in the Cloud, and should cope with heterogeneity of data sources as well as with temporal and streaming data.
Related files: 
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