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Research PaperResearchia:202601.26014

COMETS: Coordinated Multi-Destination Video Transmission with In-Network Rate Adaptation

Yulong Zhang

Abstract

Large-scale video streaming events attract millions of simultaneous viewers, stressing existing delivery infrastructures. Client-driven adaptation reacts slowly to shared congestion, while server-based coordination introduces scalability bottlenecks and single points of failure. We present COMETS, a coordinated multi-destination video transmission framework that leverages information-centric networking principles such as request aggregation and in-network state awareness to enable scalable, fair...

Submitted: January 26, 2026Subjects: Engineering; Image Processing

Description / Details

Large-scale video streaming events attract millions of simultaneous viewers, stressing existing delivery infrastructures. Client-driven adaptation reacts slowly to shared congestion, while server-based coordination introduces scalability bottlenecks and single points of failure. We present COMETS, a coordinated multi-destination video transmission framework that leverages information-centric networking principles such as request aggregation and in-network state awareness to enable scalable, fair, and adaptive rate control. COMETS introduces a novel range-interest protocol and distributed in-network decision process that aligns video quality across receiver groups while minimizing redundant transmissions. To achieve this, we develop a lightweight distributed optimization framework that guides per-hop quality adaptation without centralized control. Extensive emulation shows that COMETS consistently improves bandwidth utilization, fairness, and user-perceived quality of experience over DASH, MoQ, and ICN baselines, particularly under high concurrency. The results highlight COMETS as a practical, deployable approach for next-generation scalable video delivery.


Source: arXiv:2601.18670v1 - http://arxiv.org/abs/2601.18670v1 PDF: https://arxiv.org/pdf/2601.18670v1 Original Link: http://arxiv.org/abs/2601.18670v1

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Submission Info
Date:
Jan 26, 2026
Topic:
Image Processing
Area:
Engineering
Comments:
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