Conference Information
DRCN 2022: International Conference on Design of Reliable Communication Networks
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Conference Date:
Vilanova, Spain
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Call For Papers
The International Conference on the Design of Reliable Communication Networks (DRCN) has been held for more than 20 years, addressing resilence topics, such as reliability and availability of communication networks and becoming a meeting point for both, industry and academy. The DRCN conference has always been conceived as multidisciplinary, putting together scientists from the fields of engineering of survivable equipment and network technologies as well as network management and monitoring, and without forgetting data analytics for fault diagnosis among others. After all these years, the level of excellence has grown, making DRCN a well-known meeting point, where academia and industry present novel and challenging results in the mentioned research fields. In 2022, as we hold the 18th edition of DRCN, we are pleased to invite you to contribute and participate in DRCN 2022 in Vilanova i la Geltrú, Spain, on March 28-31, 2022.

Topics of interest for submission include, but are not limited to:

    Resilience in next generation mobile networks and services (5G, 6G)
    Ultra-Reliable Low Latency Communications (URLLC)
    Design of resilient and reliable IoT systems
    Resilience in Software-Defined Networking (SDN)
    Secure and reliable quantum communication
    Resilience in satellite communication networks
    High-availability for Network Functions Virtualization (NFV) infrastructures
    Network dependability in cloud networking
    Dependability and reliability of wireless networks
    Resilience in FSO/VLC communications
    Survivability and reliability in optical and multi-layer networks
    Robustness of multi-domain networks
    Survivability in distributed computing systems
    Reliability and resiliency of data center networks
    Recovery of overlay and peer-to-peer networks
    Risk and reliability in the Internet and enterprise networks
    Communication reliability for smart-X applications (smart city, intelligent transportation, smart energy, etc.)
    Methods for survivable network and systems design, analysis and operation
    Planning and optimization of reliable networks, systems, and services
    Network reliability analysis
    Reliability and robustness of networks using AI/ML techniques
    Data analytics and machine learning for fault diagnosis
    Network coding techniques to improve resilience
    Service differentiation based on recovery methods
    Simulation techniques for network resilience
    Quality of Experience (QoE) and network service availability assessments
    Reliability requirements and metrics for users, businesses, and the society
    Robustness of compound services
    Resilience of networked critical infrastructures
    Network robustness to natural disasters
    Robust network design in hostile environments
    Network dependability and performance trade-off analysis (energy, capacity, delay, etc.)
    Network resilience combined with economics and commercial issues
    Standardization of network resilience and reliability
    Public policy issues for survivability and resilience
    Design and test of reliable operational technology (OT) networks
    Education and curriculum development for reliable networks and systems
Last updated by Dou Sun in 2021-11-07
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