The International Conference on the Design of Reliable Communication Networks (DRCN) has been held for more than 20 years, to address topics related to the reliability and availability of communication networks, and has grown to become the meeting place where researchers from both industry and academia get together to advance the state-of-the-art in the field. The DRCN conferences have always been a multidisciplinary forum bringing together scientists from diverse fields including engineering of survivable equipment and network technologies, network management and monitoring, and data analytics for fault diagnosis. The 19th edition of the conference will be held in Vilanova i la Geltrú, Spain, from April 17-20, 2023. We are pleased to invite you to contribute in DRCN 2023 and we encourage you submitting novel and high-quality work to the conference.

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

Resilience in 5G/6G networks and services
Ultra-Reliable Low Latency Communications (URLLC)
Deterministic and time sensitive networking
Design of resilient and reliable IoT systems
Reliable SASE architectures
Resilience in Software-Defined Networking (SDN)
Secure and reliable quantum communications
Resilience in extraterrestrial communication networks
High-availability for Network Functions Virtualization (NFV) infrastructures
Network dependability in cloud computing
Dependability and reliability of wireless/cellular/mobile networks
Resilience in FSO/VLC communications
Survivability and traffic engineering for optical, IP and multi-layer networks
Robustness of multi-domain networks
Survivability in grid, high performance and distributed computing
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 systems (cities, transport, logistics, etc.).
Methods for survivable network and systems design, analysis and operation
Planning and optimization of reliable networks, systems, and services
Network reliability analysis and modelling
Reliability and robustness of networks optimized and managed based on AI/ML techniques
Data analytics and machine learning algorithms for fault diagnosis
Coding techniques to improve resilience in communications
Service differentiation based on recovery methods
Simulation techniques and tools 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
Integration of satellite services for critical applications
Resilience towards business continuity management
Network robustness in response to natural and man-made disasters
Network security issues in the context of reliability and survivability
Network dependability and energy consumption trade-offs
Network resilience combined with pricing and economics
Standardization of network resilience and reliability
Public policy for survivability and resilience
Design and test of reliable operational technology (OT) networks
Network reconfiguration and reinforcement for reliability