Technical Tracks

Track 7: Software Defined Networks and Network Virtualization Technologies (SDN/NFV)
Track Co-Chairs:
Hongxin Hu, University at Buffalo,
Javier Rubio-Loyola, CINVESTAV,

Software-Defined Networking (SDN) and Network Function Virtualization (NFV) are key enablers of an unprecedented paradigm shift, which is impacting deeply Telecom and ICT industries and ultimately leads to their full convergence. By separating control and data planes and decoupling network functionalities from purpose-built equipment, the trend in network softwarization has the potential of efficiently handling heterogeneous resources, spanning networks and data center domains, and easily and flexibly deploying new services. Software-Defined Infrastructures (SDI) are conducive to intriguing opportunities in novel network architectures, management frameworks, advanced networking and computing services, while raising outstanding challenges in security, scalability, reliability. Considered the game changer for the deployment of fifth-generation (5G) networks and the future Next-G networks, SDN and NFV are expected to deliver end-to-end sliced softwarized infrastructures to dramatically transform vertical industries, such as automotive, energy, healthcare, city management, manufacturing. This track is aimed to encourage fruitful discussion of core challenges and proposals towards the realization of SDN and NFV, both from theoretical and practical perspectives, welcoming work-in-progress as well as consolidated research results.

Track Topics:
  • Software-Defined Infrastructures (SDI)
  • SDN/NFV architecture and implementation
  • SDN/NFV standardization updates
  • SDN/NFV orchestration and management frameworks
  • SDN testing approaches
  • SDN/NFV application scenarios (e.g., IoT, smart cities, automotive, industry 4.0)
  • SDN/NFV enablers for fog/mobile edge computingSDN/NFV in 5G or Next-G networks
  • SDN/NFV enablers for network slicing
  • SDN/NFV "as-a-Service" paradigms
  • SDN/NFV in multi-domain scenarios
  • SDN/NFV optimization algorithms
  • SDN/NFV interplay with machine learning and artificial intelligence
  • SDN/NFV modeling and performance analysis
  • SDN/NFV security analysis and design
  • SDN/NFV emulation/simulation/experimental platforms and testing approaches
  • SDN/NFV pilots
  • Programmable switches
  • Network telemetry
TPC List:
  • Alex Galis, University College London
  • Joan Serrat, Universitat Politecnica de Catalunya
  • Christian Esteve Rothenberg, University of Campinas
  • Benjamin E. Ujcich, Georgetown University
  • Menghao Zhang, Tsinghua University
  • Benjamin Aziz, University of Portsmouth
  • Fangming Liu, Huazhong University of Science & Technology
  • Gino Carrozzo, Nextworks
  • Jiaqi Zheng, Nanjing University
  • Juliano Wickboldt, Federal University of Rio Grande do Sul (UFRGS)
  • Nadir Shah, COMSATS University Islamabad, Wah Campus
  • Nicholas Race, Lancaster University
  • Praveen Tammana, Princeton University
  • Salvatore D'Oro, Northeastern University
  • Shay Vargaftik, VMware Research
  • Shih-Chun Lin, North Carolina State University
  • Shir Landau Feibish, Princeton University
  • Zehua Guo, Beijing Institute of Technology
  • Eleftherios Mamatas, University of Macedonia
  • Hongxin Hu, University at Buffalo, SUNY
  • Javier Rubio Loyola, CINVESTAV
  • Zehua Guo, Beijing Institute of Technology