会議情報

DRCN 2023: International Conference on Design of Reliable Communication Networks

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投稿締切日:
2022-12-01
通知日:
2023-02-01
開催日:
2023-04-17
開催地:
Vilanova, Spain
開催回数:
19
QUALIS: b2   閲覧: 24686   フォロー: 2   参加: 0

論文募集

DRCN 2023 (International Conference on Design of Reliable Communication Networks) is a QUALIS B2 conference held in Vilanova, Spain on 2023-04-17. The paper submission deadline is 2022-12-01. Acceptance notifications are sent on 2023-02-01.

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
最終更新:Dou Sun

採択率

平均採択率: 48.7% 11 年間 (2007–2020).

投稿数採択数採択率(%)
2020562442.9%
2019381950%
2018261038.5%
2017331648.5%
2016572035.1%
2015442147.7%
2014451942.2%
2013622540.3%
2011422661.9%
2009854249.4%
2007635079.4%

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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
Reliable ComputingSpringer1573-1340
bIEEE Transactions on Multimedia9.7IEEE1520-9210
cKnowledge-Based Systems7.2Elsevier0950-7051
bSoftware & Systems Modeling3.2Springer1619-1366
aIEEE Transactions on Computers3.8IEEE0018-9340
cFuture Generation Computer Systems6.1Elsevier0167-739X
cNeurocomputing6.5Elsevier0925-2312
cPattern Recognition Letters3.9Elsevier0167-8655
bPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

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