Optimizing Multi-Party Video Conferencing through Server Selection and Topology Control

This paper proposes innovative methods for multi-server placement and topology control in multi-party video conferences. It introduces a three-step procedure to minimize end-to-end delays between client pairs using D-Grouping and convex optimization. The study demonstrates how combining D-Grouping, Global Convex Optimization, and Global Server Search achieves the lowest delay in simulations.

• Video Conferencing
• Server Selection
• Topology Control
• Multi-Server Placement

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1. Server Selection and Topology Control for Multi-Party Video Conference Shuopeng Zhang, Di Niu, Yaochen Hu, Fangming Liu University of Waterloo, Canada University of Alberta, Canada Huazhong University of Science and Technology, China

2. Outline Introduction Multi-server topology Algorithms D-Grouping based on PINGs Server location optimization Simulations Implementation Conclustion

3. proposal This paper proposes new methods for multi- server placement and topology control in multi-party video conferences.

4. Introduction Existing multi-party conferencing solutions P2P Centralized servers Utilization Large cloud of proprietary Third-party CDN nodes and datacenters Lightweight practical solutions Based on only the RTTs between the few clients and some geo-information.

5. Multi-server topology

6. Full-mesh servers

7. Algorithms A three-steps procedure to minimize the mean end-to-end delay between all pairs of clients. Use D-Grouping to cluster the clients. Convex optimization to find the ideal server location that minimize the total length of all client- to-client paths. Map the server to closest server candidate that really achieves the minimum mean end-to-end delay.

8. D-Grouping based on PINGs Similar to k-means, however, it depends on not clients coordinates but the pairwise round-trip times(RTTs). Two steps Initial grouping Iterative grouping

9. Server location optimization Geo-Center Local Convex Optimization Global Convex Optimization Na ve Server Search(NaiSS) Local Server Search(LclSS) Global Server Search(GlbSS)

10. Simulation Best performance combination The method of using D-Grouping + Global Convex Optimization + Global Server Search is the best method that incurs the lowest delay.

12. Implementation Measuring end-to-end packet delays Tcircle RTTAB/2 Real-world experiments 6 nodes as clients Best method

13. Conclusion The placement of multi-servers and topology control in multi-party video conferencing applications.