Chemistry-Inspired Adaptive Stream Processing

Javier Rojas Balderrama 1 Matthieu Simonin 1 Cédric Tedeschi 1
1 MYRIADS - Design and Implementation of Autonomous Distributed Systems
IRISA-D1 - SYSTÈMES LARGE ÉCHELLE, Inria Rennes – Bretagne Atlantique
Abstract : Stream processing engines have appeared as the next generation of data processing systems, facing the needs for low-delay processing. While these systems have been widely studied recently, their ability to adapt their processing logics at run time upon the detection of some events calling for adaptation is still an open issue. Chemistry-inspired models of computation have been shown to ease the specification of adaptive systems. In this paper, we argue that a higher-order chemical model can be used to specify such an adaptive SPE in a natural way. We also show how such programming abstractions can get enacted in a decentralised environment.
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Communication dans un congrès
16th International Conference on Membrane Computing, Aug 2016, Valencia, Spain. 2015
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https://hal.inria.fr/hal-01326884
Contributeur : Cédric Tedeschi <>
Soumis le : lundi 6 juin 2016 - 10:21:22
Dernière modification le : vendredi 16 novembre 2018 - 01:40:14

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  • HAL Id : hal-01326884, version 1

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Javier Rojas Balderrama, Matthieu Simonin, Cédric Tedeschi. Chemistry-Inspired Adaptive Stream Processing. 16th International Conference on Membrane Computing, Aug 2016, Valencia, Spain. 2015. 〈hal-01326884〉

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