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Recent Submissions
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RouteNet-Erlang: A graph neural network for network performance evaluation
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessNetwork modeling is a fundamental tool in network research, design, and operation. Arguably the most popular method for modeling is Queuing Theory (QT). Its main limitation is that it imposes strong assumptions on the ... -
Accelerating deep reinforcement learning for digital twin network optimization with evolutionary strategies
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessThe recent growth of emergent network applications (e.g., satellite networks, vehicular networks) is increasing the complexity of managing modern communication networks. As a result, the community proposed the Digital Twin ... -
A control plane for WireGuard
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessWireGuard is a VPN protocol that has gained significant interest recently. Its main advantages are: (i) simple configuration (via pre-shared SSH-like public keys), (ii) mobility support, (iii) reduced codebase to ease ... -
FlowDT: A Flow-aware Digital Twin for computer networks
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessNetwork modeling is an essential tool for network planning and management. It allows network administrators to explore the performance of new protocols, mechanisms, or optimal configurations without the need for testing ... -
Evaluation of joint controller placement for latency and reliability-aware control plane
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference lecture
Open AccessThe separation of the forwarding and control planes in software-defined networking provides flexibility for network management. The Controller Placement Problem (CPP) is an important issue affecting network performance. ... -
Unveiling the potential of graph neural networks for robust intrusion detection
(2021)
Conference report
Open AccessThe last few years have seen an increasing wave of attacks with serious economic and privacy damages, which evinces the need for accurate Network Intrusion Detection Systems (NIDS). Recent works propose the use of Machine ... -
IGNNITION: A framework for fast prototyping of Graph Neural Networks
(2021)
Conference report
Open AccessRecent years have seen the vast potential of Graph Neural Networks (GNN) in many fields where data is structured as graphs (e.g., chemistry, logistics). However, implementing a GNN prototype is still a cumbersome task that ... -
NetXplain: Real-time explainability of graph neural networks applied to computer networks
(2021)
Conference report
Open AccessRecent advancements in Deep Learning (DL) have revolutionized the way we can efficiently tackle complex optimization problems. However, existing DL-based solutions are often considered as black boxes due to their high inner ... -
Is machine learning ready for traffic engineering optimization?
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference report
Open AccessTraffic Engineering (TE) is a basic building block of the Internet. In this paper, we analyze whether modern Machine Learning (ML) methods are ready to be used for TE optimization. We address this open question through a ... -
IGNNITION: fast prototyping of graph neural networks for communication networks
(Association for Computing Machinery (ACM), 2021)
Conference lecture
Open AccessGraph Neural Networks (GNN) have recently exploded in the Machine Learning area as a novel technique for modeling graph-structured data. This makes them especially suitable for applications in the networking field, as ... -
Decentralised Internet infrastructure: Securing inter-domain routing (DEMO)
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Conference lecture
Open AccessThe Border Gateway Protocol (BGP) is the inter-domain routing protocol that glues the Internet. BGP does not incorporate security and instead, it relies on careful configuration and manual filtering to offer some protection. ... -
Modelling short-range quantum teleportation for scalable multi-core quantum computing architectures
(Association for Computing Machinery (ACM), 2021)
Conference report
Open AccessMulti-core quantum computing has been identified as a solution to the scalability problem of quantum computing. However, interconnecting quantum chips is not trivial, as quantum communications have their share of quantum ...
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