PhD student (ATER, Sorbonne Université)
Team : DELYS
Arrival date : 07/01/2019
    Sorbonne Université - LIP6
    Boîte courrier 169
    Couloir 26-00, Étage 2, Bureau 225
    4 place Jussieu
    75252 PARIS CEDEX 05

Tel: +33 1 44 27 87 67, Daniel.Wladdimiro (at) nulllip6.fr

Supervision : Pierre SENS

Co-supervision : Luciana Arantes

Dynamic Adaptation in Stream Processing System

Stream Processing Systems (SPSs) dynamically process input events. Since the input is usually not a constant flow, presenting rate fluctuations, many works in the literature propose to dynamically replicate SPS operators, aiming at reducing the processing bottleneck induced by such fluctuations. We present in this these a two approach to dynamically changes the number of replicas of an operator. First, a reactive approach, which based multiple metrics. And second, a predictive model, which based on input rate variation, execution time of operators, and queued events, dynamically defines the necessary current number of replicas of each operator. We also propose a Storm-based SPS, which uses such our model, not requiring reboot reconfiguration when the number of operators replica change.

2021-2023 Publications

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