Maxime Mouchet

I’m currently a postdoctoral researcher in the NPA team of the LIP6 laboratory at Sorbonne UniversitĂ©, and I’m affiliated with the LINCS laboratory. I’m part of the DIOPTRA group led by Timur Friedman and Olivier Fourmaux.

Previously, I was a PhD student in computer science at IMT Atlantique, from which I also obtained an engineering degree—diplĂ´me d’ingĂ©nieur—in 2017. I write code on GitHub.

My PhD thesis, Robust Modelling of Internet Delay and Smart Monitoring Schemes for the Automation of Overlay Networks, is available in French.


EdgeNet: A Multi-Tenant and Multi-Provider Edge Cloud
B. Ĺženel, M. Mouchet, J. Cappos, O. Fourmaux, T. Friedman, and R. McGeer
EdgeSys 2021 â€˘ Best Paper Award

EdgeNet: Building a Testbed as a Global Kubernetes Cluster
B. Ĺženel, M. Mouchet, J. Cappos, O. Fourmaux, T. Friedman, and R. McGeer
CNERT 2021

Shared internet-scale measurement platforms
B. Ĺženel, M. Mouchet, J. Cappos, O. Fourmaux, T. Friedman, and R. McGeer

Large-Scale Characterization and Segmentation of Internet Path Delays with Infinite HMMs
M. Mouchet, T. Chonavel, S. Vaton, E. Aben, and J. Den Hertog
IEEE Access

Scalable Monitoring Heuristics for Improving Network Latency
M. Mouchet, M. Randall, M. Ségneré, I. Amigo, P. Belzarena, O. Brun, B. Prabhu, and S. Vaton
NOMS 2020

Poster Abstract: A flexible infinite HMM model for accurate characterization and segmentation of RTT timeseries
M. Mouchet, T. Chonavel, and S. Vaton

Statistical Characterization of Round-Trip Times with Nonparametric Hidden Markov Models
M. Mouchet, T. Chonavel, and S. Vaton
AnNet 2019

Joint minimization of monitoring cost and delay in overlay networks: Optimal policies with a markovian approach
S. Vaton, O. Brun, M. Mouchet, P. Belzarena, I. Amigo, B. Prabhu, and T. Chonavel
Journal of Network and Systems Management

Optimisation conjointe de la métrologie active et du routage : une approche markovienne
M. Mouchet, S. Vaton, O. Brun, P. Belzarena, I. Amigo, and B. Prabhu
CoRes 2018



Integrate Julia and Javascript using Node.js extensions
JuliaCon 2020 • Online

Statistical models for RTTs
Neutral Interconnect Days 2019 • The Hague, Netherlands

Learning network states from RTT measurements
RIPE 77 • Amsterdam, Netherlands

Working Groups

Algorithms for generating random permutations
LINCS Network Theory Working Group • Online

Asynchronous programming in Python
LINCS Python Workshop • Online

Reduce, Reuse, Recycle: Repurposing Existing Measurements to Identify Stale Traceroutes
LINCS Internet Measurement Reading Group • Online