I’m currently a postdoctoral researcher in the NPA team of the LIP6 laboratory at Sorbonne Université, 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—diplôme d’ingénieur—in 2017. I write code on GitHub.
EdgeNet: A Multi-Tenant and Multi-Provider Edge Cloud
B. Ĺženel, M. Mouchet, J. Cappos, O. Fourmaux, T. Friedman, and R. McGeer
EdgeSys 2021 • 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
WOMBIR 2021
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
INFOCOM 2019
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
July 2020. Online.
Statistical models for RTTs • Neutral Interconnect Days 2019
September 2019. The Hague, Netherlands.
Learning network states from RTT measurements • RIPE 77
October 2018. Amsterdam, Netherlands.