IEEE International Conference on High Performance Switching and Routing
26-29 May 2019 // Xi'an, China


Download the HPSR 2019 Call for Papers flyer PDF >>

General Call for Contributions

The paradigms of software-defined networking (SDN) and network function virtualization (NFV) are the two major break-through innovations that have mostly and most profoundly impacted the world of switching and routing in the latest years. This led to novel approaches that leverage hardware-software co-design techniques, or exploit high performance programmable data planes or fast network processing frameworks, such as P4, NetFPGA, OpenState, etc.

While the outcomes of those innovations are still progressing and producing new results both in terms of research and of industrial applications, we are today welcoming another important revolution: the pervasive wave of big data has splashed also on the shore of computer networks and telecommunications. Data analytics, data mining, machine learning, network monitoring and traffic prediction are the new topics galvanizing researchers in academia and business developers in telcos, equipment-vendors and start-ups of the ITC sector.

If those are the new tools for the development of technology, we shall not forget the fast innovation that is occurring in the application scenario, with the new “verticals” of the next-to-come 5G era: Internet of things, smart factory, Industry 4.0, content distribution, automotive, just to mention the most popular ones.

How the break-through changes occurring to networks and telecom are affecting the more specific area of switching and routing? The main focus that the Chairs of HPSR 2019 – the 20th edition of HPSR conference! – are proposing for the conference this year is on this question. We are confident that HPSR will provide an ample overview on the most advanced research initiatives and results worldwide, by its contributed, invited and tutorial papers. Therefore, we are strongly soliciting all researchers to submit their work on big-data, data-analytics and machine-learning techniques applied to switching and routing, especially for 5G, IoT, Industry 4.0 and other advanced verticals. This obviously does not exclude contributions about more traditional topics in switching and routing, which will be welcomed as well.

The scope of the conference is summarized by the following list.

  • 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 applications
  • High performance, programmable networks for the Internet of things
  • Dynamic bandwidth access and management for smart-factory/Industry 4.0 applications
  • Virtualized network functions (e.g., firewalls, intrusion detection systems, load balancers, etc.) built or managed using software-defined networks
  • Software defined networking
  • Network and switch slicing
  • Architectures of high-performance switches and routers, with a focus towards reconfigurable pipelines (P4, Openflow, etc)
  • Virtual Private WANs
  • Network security
  • Next Generation 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