Server Selection and Topology Control for Multi-Party Video Conferences

  • Authors:
  • Shuopeng Zhang;Di Niu;Yaochen Hu;Fangming Liu

  • Affiliations:
  • University of Waterloo, Canada;University of Alberta, Canada;University of Alberta, Canada;Huazhong University of Science and Technology, China

  • Venue:
  • Proceedings of Network and Operating System Support on Digital Audio and Video Workshop
  • Year:
  • 2014

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Abstract

This paper proposes new methods for multi-server placement and topology control in multi-party video conferences. Given a large server pool available from CDN infrastructures and datacenter networks, our lightweight methods can rapidly determine the network topology and select the best physical servers to deploy virtualized server instances on, with the objective of minimizing the mean end-to-end delay between clients. We propose D-Grouping, a ping-based clustering algorithm, which is used in combination with convex optimization to determine the network topology and fine-tune server selection. To verify the proposed methods, we present extensive simulation studies based on the ping traces collected from 518 PlanetLab nodes as well as real-world experiment results based on a prototype implementation.