activity
20182022
most citedMessage-Passing Neural Networks Learn Little's Law

41 citations · 63 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2022

Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing

Krzysztof Rusek, Paul Almasan, José Suárez-Varela +3

Emerging applications such as the metaverse, telesurgery or cloud computing require increasingly complex operational demands on networks (e.g., ultra-reliable low latency). Likewis…

cs.NI2022★ 2 cited

RiskNet: Neural Risk Assessment in Networks of Unreliable Resources

Krzysztof Rusek, Piotr Boryło, Piotr Jaglarz +3

We propose a graph neural network (GNN)-based method to predict the distribution of penalties induced by outages in communication networks, where connections are protected by resou…

cs.NI2019★ 3 cited

Interoperator fixed-mobile network sharing

Ireneusz Szcześniak, Piotr Chołda, Andrzej R. Pach +1

We propose the novel idea of interoperator fixed-mobile network sharing, which can be software-defined and readily-deployed. We study the benefits which the sharing brings in terms…

cs.NI2019★ 41 cited

Message-Passing Neural Networks Learn Little's Law

Krzysztof Rusek, Piotr Chołda

The paper presents a solution to the problem of universal representation of graphs exemplifying communication network topologies with the help of neural networks. The proposed appr…

cs.NI2018★ 17 cited

MPLS-based Reduction of Flow Table Entries in SDN Switches Supporting Multipath Transmission

Zbigniew Duliński, Grzegorz Rzym, Piotr Chołda

In the paper, a new mechanism for Software-Defined Networking (SDN) flow aggregation accompanied with multipath transmission is proposed. The aggregation results in a low number of…