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Parallel and Distributed Stream Processing: Systems Classification and Specific Issues

Roland Kotto-Kombi 1 Nicolas Lumineau 1 Philippe Lamarre 1 Yves Caniou 2, 3
1 BD - Base de Données
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
3 AVALON - Algorithms and Software Architectures for Distributed and HPC Platforms
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
Abstract : Deploying an infrastructure to execute queries on distributed data streams sources requires to identify a scalable and robust solution able to provide results which can be qualified. Last decade, different Data Stream Management Systems have been designed by exploiting new paradigm and technologies to improve performances of solutions facing specific features of data streams and their growing number. However, some tradeoffs are often achieved between performance of the processing, resources consumption and quality of results. This survey 5 suggests an overview of existing solutions among distributed and parallel systems classified according to criteria able to allow readers to efficiently identify relevant existing Distributed Stream Management Systems according to their needs ans resources.
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Submitted on : Tuesday, October 13, 2015 - 6:11:59 PM
Last modification on : Saturday, September 11, 2021 - 3:18:23 AM
Long-term archiving on: : Thursday, January 14, 2016 - 6:00:44 PM


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  • HAL Id : hal-01215287, version 1


Roland Kotto-Kombi, Nicolas Lumineau, Philippe Lamarre, Yves Caniou. Parallel and Distributed Stream Processing: Systems Classification and Specific Issues. 2015. ⟨hal-01215287⟩



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