Incremental Stream Processing using Computational Conflict-free Replicated Data Types

Abstract : Information has become a key commodity for most service providers. Analyzing streams of data efficiently, in real time, has become increasingly more important for supporting new products and applications. This paper outlines a novel abstraction for performing incremental stream processing based on Computational Conflict-free Replicated Data Types. C-CRDTs are replicated objects that can be updated concurrently without co- ordination to perform a computation and still converge to a consistent state that reflects all contributions. Results obtained with a preliminary prototype show that C-CRDTs have the potential to match and improve computational throughput when compared with a state of the art stream processing system.
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Communication dans un congrès
CloudDP '13 - 3rd International Workshop on Cloud Data and Platforms, Apr 2013, Prague, Czech Republic. ACM, pp.31-36, 2013, 〈10.1145/2460756.2460762〉
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Soumis le : vendredi 17 janvier 2014 - 16:31:23
Dernière modification le : jeudi 11 janvier 2018 - 06:20:06
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David Navalho, Sérgio Duarte, Nuno Preguiça, Marc Shapiro. Incremental Stream Processing using Computational Conflict-free Replicated Data Types. CloudDP '13 - 3rd International Workshop on Cloud Data and Platforms, Apr 2013, Prague, Czech Republic. ACM, pp.31-36, 2013, 〈10.1145/2460756.2460762〉. 〈hal-00932788〉

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