On Fast Slice Reconfiguration

Gang Wang, Gang Feng, Tony Q.S. Quek, Shuang Qin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


Network slicing enables diversified services to be carried in isolated slices. To maintain the quality of service and achieve high profit of a slice in dynamic environments, it is vital to agilely reconfigure the resource allocation for the slice. However, frequent reconfigurations also incur certain cost and might cause service interruption. To maximize the slice's profit and reduce the reconfiguration overhead, we propose a fast slice reconfiguration (FSR) scheme to cope with small traffic variations of individual slices at the time scale of flow arrival-departure. Due to small traffic variations, the FSR only reconfigures bandwidth and VNF capacity allocation for partial flows. We formulate the optimization problem for FSR, which is difficult to solve due to the discontinuity and non-convexity of the reconfiguration cost function. We propose to approximate the reconfiguration cost function with L1 norm, which preserves the sparsity of solution, thus avoiding unnecessary reconfigurations. Besides, the FSR problem should be solved efficiently, so that slices could be reconfigured timely. Hence, we exploit the dual-ADMM method to solve the problem in a distributed manner for large slices. Numerical results validate the effectiveness of the proposed FSR scheme and the distributed computing method for FSR problem.

Original languageEnglish
Title of host publication2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538647271
Publication statusPublished - 2018
Event2018 IEEE Global Communications Conference, GLOBECOM 2018 - Abu Dhabi, United Arab Emirates
Duration: 2018 Dec 92018 Dec 13

Publication series

Name2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings


Conference2018 IEEE Global Communications Conference, GLOBECOM 2018
CountryUnited Arab Emirates
CityAbu Dhabi

All Science Journal Classification (ASJC) codes

  • Information Systems and Management
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality
  • Signal Processing
  • Modelling and Simulation
  • Instrumentation
  • Computer Networks and Communications

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