Romaric Duvignau
My research focuses on efficient data communication, discovery algorithms, packet trace analysis, distributed monitoring, fault-tolerance in distributed systems, big data and streaming analytics for Cyber-Physical Systems, 5G and mobile networking, intelligent vehicular networks, and efficient P2P energy sharing.
Visar 16 publikationer
Greediness is not always a vice: Efficient Discovery Algorithms for Assignment Problems
Cost-Optimization for Win-Win P2P Energy Systems
Self-stabilizing Byzantine fault-tolerant repeated reliable broadcast
Self-stabilizing Byzantine Fault-Tolerant Repeated Reliable Broadcast
Efficient and scalable geographical peer matching for P2P energy sharing communities
GeoRep - Resilient Storage for Wide Area Networks
Metainformation Extraction from Encrypted Streaming Video Packet Traces
Time- and Computation-Efficient Data Localization at Vehicular Networks' Edge
Benefits of small-size communities for continuous cost-optimization in peer-to-peer energy sharing
DRIVEN: A framework for efficient Data Retrieval and clustering in Vehicular Networks
Small-Scale Communities Are Sufficient for Cost- and Data-Efficient Peer-to-Peer Energy Sharing
Querying Large Vehicular Networks: How to Balance On-Board Workload and Queries Response Time?
Continuous Distributed Monitoring in the Evolved Packet Core
Streaming Piecewise Linear Approximation for Efficient Data Management in Edge Computing
DRIVEN: a Framework for Efficient Data Retrieval and Clustering in Vehicular Networks
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Visar 8 forskningsprojekt
TRUSTCOM: Paketspårningsigenkänning över instabila kommunikationskanaler
HyperP2P: Bipartite hypergrafmatchningar för peer-to-peer energidelning
TANDEM: Intelligent hantering av energidata och beslutsfattande i realtid
DEEP: Dynamic and Efficient Energy-sharing P2P networks
AutoSPADA (Automotive Stream Processing and Distributed Analytics) OODIDA Phase 2
INDEED: Information and Data-processing in Focus for Energy Efficiency
BADA - On-board Off-board Distributed Data Analytics