PhD graduated (ATER, Sorbonne Université)
Team : DELYS
    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 (SPS) dynamically process input events over a set of operators. As the input is generally not a constant stream, work in the literature proposes to dynamically replicate SPS operators, in order to reduce processing bottlenecks induced by fluctuations.
Here, we present two approaches for dynamically modifying the number of replicas of an operator. A first reactive approach relies on several metrics. A second approach using a predictive model analyzes input rate variation, operator execution time and queued events to dynamically define the number of replicas required for each operator. We also propose a Storm-based implementation of these two approaches, which does not require reconfiguration on restart when the number of operator replicas changes.

Defence : 01/08/2024

Jury members :

Fabrice HUET, Professeur des universités, Univ. Nice Sophia Antipolis, CNRS, I3S, UMR 7271 [Rapporteur]
Cédric TEDESCHI, Professeur des universités, Université Rennes 1, IRISA [Rapporteur]
Nicolás HIDALGO, Maîtres de conférences, Universidad Diego Portales
Sébastien MONNET, Professeur, Université Savoie Mont Blanc
Luciana A RANTES, Maîtres de conférences, Sorbonne Université, LIP6
Pierre SENS, Professeur, Sorbonne Université, LIP6

2021-2024 Publications