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Chemistry-Inspired Adaptive Stream Processing

Javier Rojas Balderrama 1 Matthieu Simonin 1 Cédric Tedeschi 1
1 MYRIADS - Design and Implementation of Autonomous Distributed Systems
Inria Rennes – Bretagne Atlantique , IRISA-D1 - SYSTÈMES LARGE ÉCHELLE
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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https://hal.inria.fr/hal-01326884
Contributor : Cédric Tedeschi <>
Submitted on : Monday, June 6, 2016 - 10:21:22 AM
Last modification on : Wednesday, December 18, 2019 - 5:13:56 PM

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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. ⟨hal-01326884⟩

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