Atlas: Automate Online Service Configuration in Network Slicing

Qiang Liu, Nakjung Choi, Tao Han

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

Abstract

Network slicing achieves cost-efficient slice customization to support heterogeneous applications and services. Configuring cross-domain resources to end-to-end slices based on service-level agreements, however, is challenging, due to the complicated underlying correlations and the simulation-to-reality discrepancy between simulators and real networks. In this paper, we propose Atlas, an online network slicing system, which automates the service configuration of slices via safe and sample-efficient learn-to-configure approaches in three interrelated stages. First, we design a learning-based simulator to reduce the sim-to-real discrepancy, which is accomplished by a new parameter searching method based on Bayesian optimization. Second, we offline train the policy in the augmented simulator via a novel offline algorithm with a Bayesian neural network and parallel Thompson sampling. Third, we online learn the policy in real networks with a novel online algorithm with safe exploration and Gaussian process regression. We implement Atlas on an end-to-end network prototype based on OpenAirInterface RAN, OpenDayLight SDN transport, OpenAir-CN core network, and Docker-based edge server. Experimental results show that, compared to state-of-the-art solutions, Atlas achieves 63.9% and 85.7% regret reduction on resource usage and slice quality of experience during the online learning stage, respectively.

Original languageEnglish (US)
Title of host publicationCoNEXT 2022 - Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies
PublisherAssociation for Computing Machinery, Inc
Pages140-155
Number of pages16
ISBN (Electronic)9781450395083
DOIs
StatePublished - Nov 30 2022
Event18th ACM Conference on Emerging Networking Experiment and Technologies, CoNEXT 2022 - Rome, Italy
Duration: Dec 6 2022Dec 9 2022

Publication series

NameCoNEXT 2022 - Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies

Conference

Conference18th ACM Conference on Emerging Networking Experiment and Technologies, CoNEXT 2022
Country/TerritoryItaly
CityRome
Period12/6/2212/9/22

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

Keywords

  • autonomous management
  • machine learning
  • network slicing

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