Publications

Journal Articles

2024

1. A deeper look at Ariadne: a privacy-preserving network layer protocol

   Antoine Fressancourt, Luigi Iannone, and Mael Kerichard

   2024

Conference Articles

2025

1. Demo: SPOT – SRv6-Based Proof of Transit for Network Path Verification

   Luigi Iannone, and Antoine Fressancourt

   2025

   DOI
2. INet4AI ’25: 1st Workshop on Inter-networking challenges for AI

   Dirk Kutscher, and Antoine Fressancourt

   , Hong Kong, 2025

   Abs DOI

   The CoNEXT 2025 INet4AI workshop explores the networking challenges of large-scale distributed AI workloads in environments characterized by node and network heterogeneity, as well as dynamically changing resource availability and utilization. In this inaugural edition, researchers from both academia and industry present promising approaches for adapting collective communication mechanisms to the unique constraints of Internet-scale distributed AI systems.

2023

1. Ariadne: a privacy-preserving network layer protocol

   Antoine Fressancourt, and Luigi Iannone

   2023
2. The Multi-Commodity Flow Problem with Disjoint Signaling Paths: A Branch-and-Benders-Cut Algorithm

   Jiachen Zhang, Youcef Magnouche, Sebastien Martin, Antoine Fressancourt, and J Christopher Beck

   2023

2016

1. Kumori: Steering Cloud traffic at IXPs to improve resiliency

   Antoine Fressancourt, Cristel Pelsser, and Maurice Gagnaire

   2016

2015

1. A SDN-based network architecture for cloud resiliency

   Antoine Fressancourt, and Maurice Gagnaire

   2015

2014

1. A dynamic offer/answer mechanism encompassing TCP variants in heterogeneous environments

   Antoine Fressancourt, and Maurice Gagnaire

   2014

2009

1. NFCSocial: Social networking in mobility through IMS and NFC

   Antoine Fressancourt, Colombe Hérault, and Eric Ptak

   2009

Theses

2016

1. Improved resiliency for inter-datacenter network connections

   Antoine Fressancourt

   2016

Technical Reports

2009

1. Tangibility in social networks

   Antoine Fressancourt, Colombe Hérault, and Eric Ptak

   2009

IETF drafts

2024

1. Handling inter-DC/Edge AI-related network traffic: Problem statement

   Antoine Fressancourt, Luigi Iannone, David Lou, and Dirk Trossen

   Oct 2024

   Work in Progress

   Abs

   The growth in terms of number of parameters of LLM models as well as the need to use or train those models with private or protected data will require service providers operating LLM-based services to cooperate to train, specialize or serve LLM-based services accross datacenters. Given their structure, the number of parameters they incorporate and the collective communication librairies they are built with, LLM training and inference (or serving) network traffic has specific characteristics.

2. Enforcing end-to-end delay bounds via queue resizing

   Antoine Fressancourt, Paolo Medagliani, Anne Bouillard, and Sébastien Martin

   Oct 2024

   Work in Progress

   Abs

   This document presents a distributed mechanism to enforce strict delay bounds for some network flows in large scale networks. It leverages on the capacity of modern network devices to adapt their queue’s capacities to bound the maximum time spent by packets in those devices. It is using a reservation protocol to guarantee the availability of the resources in the devices’ queues to serve packets belonging to specific flows while enforcing an end-to-end delay constraint.

3. Segment Routing over IPv6 (SRv6) Proof of Transit

   Luigi Iannone, and Antoine Fressancourt

   Feb 2024

   Work in Progress

   Abs

   Various technologies, including SRv6, allow to perform Traffic Engineering (TE), steering IP traffic through a specific path. However, there is no native mechanism in IP that allows to verify whether or not a packet did follow the path it was supposed to. This document specifies a new TLV for the Segment Routing Header (SRH) that allows to provide a cryptographically generated proof of transit over the different segments. The proposed mechanisms allows to verify whether a packet did go through the segments listed in its SRH header in the intended order.