-------- Weitergeleitete Nachricht -------- Betreff: [InternetTC] [IEEE HPSR 2024] CFP: 25th IEEE International Conference on High Performance Switching and Routing - papers due by March 1st, 2024 Datum: Fri, 2 Feb 2024 11:01:31 +0000 Von: Casas Pedro Pedro.Casas@AIT.AC.AT An: itc@COMSOC.ORG

IEEE International Conference on High Performance Switching and Routing

22–24 July 2024

Pisa, Italy

https://hpsr2024.ieee-hpsr.org/ https://hpsr2024.ieee-hpsr.org/

The Next Generation Networks (NGN) and future Communication Systems design will be driven by human expectations on better services, which in turn increases management complexity for network providers. New networking technologies are needed to efficiently and effectively cope with the intricacy in traffic demands, especially with the increase of over-the-top (OTT) services provided by operators and individual companies.

The main focus of the HPSR 2024 – the 25th edition of HPSR conference – will be to assess how breakthrough changes occurring to networks and telecom are affecting areas related to switching and routing, and communication networks in general. We are soliciting original and thought-provoking works on big data, data analytics, cloud services, and machine-learning techniques applied to networking and switching and routing. Works on autonomous networks, 5GA / 6G, IoT, Industry 4.0, social networks, network, cybersecurity, virtualization, and other advanced topics are also welcome. Research works on the following topics, but not limited to, are welcome for submission through the following topics:

• Switching support to Extended reality (including virtual, augmented, and mixed reality)

• Routing and resource allocation for Tactile Internet

• High-speed packet processors

• Address lookup algorithms, packet classification, scheduling, and dropping

• Efficient data structures for networking applications

• Switching, bridging, and routing protocols whether wide-area or data centers

• Optical switching and routing

• Multiprocessor networks

• Network management

• Traffic characterization and engineering

• Power-aware switching, bridging, and routing protocols

• Nano-communication networks

• ICT enabling technologies for e-health systems

• Future technologies for IoT

• Application of data science and analysis on high-performance networks

• Applications of GPU on network functions

• Application of data analytics to switching and routing

• Machine learning-based routing and resource-allocation algorithms

• Traffic monitoring and modeling applied to switching and routing

• Traffic predictions in routing and resource assignment

• Switching architectures for 5G/6G applications

• High performance, programmable networks for the Internet of things

• Dynamic bandwidth access and management for smart factory/Industry 4.0/5.0 applications

• Network performance for Human-Agent-Robot Teamwork (HART)

• Multi-access/Mobile Edge Computing (MEC)

• Blockchain technologies

• Decentralized applications (DApps)

• Decentralized autonomous organizations (DAOs)

• Software-defined networking (SDN)/Software-defined radio (SDR)

• Network and switch slicing

• Computation offloading

• In-network computing and network programmability

• Programmable interfaces, eBPF and kernel extensions

• Architectures of high-performance switches and routers, with a focus towards reconfigurable pipelines (P4, Openflow, etc.)

• Autonomous Resource allocation

• Network security

• Next generation networks and Internet

• Cloud and data center security

• Intrusion detection with AI

• Virtual Private WANs

• Securing in SDN and networking slicing

• Support for the security of social networks

• Virtualized network functions (e.g., firewalls, intrusion detection systems, load balancers, etc.) built or managed using software-defined networks

Important Dates:

+ Paper Submission Due: 1 March 2024

+ Acceptance Notifications: 30 April 2024

General Co-chairs

+ Stefano Giordano, University of Pisa, Italy

+ Eiji Oki, Kyoto University, Japan

TPC Co-chairs

+ Nizar Zorba, Qatar University, Qatar

+ Gregorio Procissi, University of Pisa, Italy

*DR. PEDRO CASAS *Senior Scientist Data Science & Artificial Intelligence

Center for Digital Safety & Security

*AIT Austrian Institute of Technology GmbH*

Giefinggasse 4 | 1210 Vienna | Austria T +43 50550-4104 | M +43 664 88256097 | F +43 50550-2813 pedro.casas@ait.ac.at mailto:pedro.casas@ait.ac.at| www.ait.ac.at http://www.ait.ac.at/

FN: 115980 i HG Wien | UID: ATU14703506 www.ait.ac.at/Email-Disclaimer http://www.ait.ac.at/Email-Disclaimer

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