6 citations · 7 across the 5 of their papers we have counts for
6 papers
MCCL: Measurement-based Collective Communication Library
Michele Ferrero, Gabriele Castellano, Paolo Medagliani +3
Collective communication is a critical performance bottleneck in large-scale distributed training. Existing libraries and synthesis frameworks compute open-loop schedules once, ass…
Alternative paths computation for congestion mitigation in segment-routing networks
Sébastien Martin, Youcef Magnouche, Paolo Medagliani +1
In backbone networks, it is fundamental to quickly protect traffic against any unexpected event, such as failures or congestions, which may impact Quality of Service (QoS). Standar…
Scalable Damper-based Deterministic Networking
M. Yassine Naghmouchi, Shoushou Ren, Paolo Medagliani +2
With 5G networking, deterministic guarantees are emerging as a key enabler. In this context, we present a scalable Damper-based architecture for Large-scale Deterministic IP Networ…
Graph Convolutional Reinforcement Learning for Collaborative Queuing Agents
Hassan Fawaz, Julien Lesca, Pham Tran Anh Quang +3
In this paper, we explore the use of multi-agent deep learning as well as learning to cooperate principles to meet stringent service level agreements, in terms of throughput and en…
Joint Routing and Scheduling for Large-Scale Deterministic IP Networks
Jonatan Krolikowski, Sebastien Martin, Paolo Medagliani +4
With the advent of 5G and the evolution of Internet protocols, industrial applications are moving from vertical solutions to general purpose IP-based infrastructures that need to m…
Overlay Routing for Fast Video Transfers in CDN
Paolo Medagliani, Stefano Paris, Jérémie Leguay +3
Content Delivery Networks (CDN) are witnessing the outburst of video streaming (e.g., personal live streaming or Video-on-Demand) where the video content, produced or accessed by m…