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 and is fully reproducible.
Publications
EdgeNet, a Production Internet-Scale Container-Based Distributed System Testbed
B. Ĺženel, M. Mouchet, J. Cappos, T. Friedman, O. Fourmaux, and R. McGeer
ICDCS 2022
Federating EdgeNet with Fed4FIRE+ and Deploying its Nodes Behind NATs
B. Ĺženel, M. Mouchet, J. Cappos, T. Friedman, O. Fourmaux, and R. McGeer
IFIP Networking 2022
Zeph & Iris cartographient l'internet
M. Gouel, K. Vermeulen, M. Mouchet, J. P. Rohrer, O. Fourmaux, and T. Friedman
CoRes 2022
Zeph & Iris Map the Internet - A resilient reinforcement learning approach to distributed IP route tracing
M. Gouel, K. Vermeulen, M. Mouchet, J. P. Rohrer, O. Fourmaux, and T. Friedman
Computer Communication Review
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: the Global Kubernetes Cluster Testbed
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
Talks
Conferences
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
GNU Parallel
LINCS Python Workshop • Online
PyCharm
LINCS Python Workshop • Online
HLOC: Hints-based geolocation leveraging multiple measurement frameworks
LINCS Internet Measurement Reading Group • Online
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