9 citations · 21 across the 15 of their papers we have counts for
13 papers · 1 filter
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…
Dynamic Link Network Emulation: a Model-based Design
Erick Petersen, Jorge López, Natalia Kushik +2
This paper presents the design and architecture of a network emulator whose links' parameters (such as delay and bandwidth) vary at different time instances. The emulator can thus…
Mandate-driven Networking Eco-system: A Paradigm Shift in End-to-End Communications
Ingrid Moerman, Djamal Zeghlache, Adnan Shahid +7
The wireless industry is driven by key stakeholders that follow a holistic approach of "one-system-fits-all" that leads to moving network functionality of meeting stringent E2E com…
Identifying Operational Data-paths in Software Defined Networking Driven Data-planes
José Reyes, Jorge López, Djamal Zeghlache
In this paper, we propose an approach that relies on distributed traffic generation and monitoring to identify the operational data-paths in a given Software Defined Networking (SD…
Preventive Model-based Verification and Repairing for SDN Requests
Igor Burdonov, Alexandre Kossachev, Nina Yevtushenko +3
Software Defined Networking (SDN) is a novel network management technology, which currently attracts a lot of attention due to the provided capabilities. Recently, different works…
Quantifying Spatiotemporal Stability by means of Entropy: Approach and Motivations
Mohamed-Haykel Zayani, Vincent Gauthier, Djamal Zeghlache
Several studies demonstrate that there are critical differences between real wireless networks and simulation models. This finding has permitted to extract spatial and temporal pro…