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Main Authors: Xiao, Yao, Chen, Sitian, Zhou, Amelie Chi, Zhang, Shuhao, Wang, Yi, Mao, Rui, Yang, Xuan
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2310.05054
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author Xiao, Yao
Chen, Sitian
Zhou, Amelie Chi
Zhang, Shuhao
Wang, Yi
Mao, Rui
Yang, Xuan
author_facet Xiao, Yao
Chen, Sitian
Zhou, Amelie Chi
Zhang, Shuhao
Wang, Yi
Mao, Rui
Yang, Xuan
contents In the face of rising global demand for video meetings, managing traffic across geographically distributed (geo-distributed) data centers presents a significant challenge due to the dynamic and limited nature of inter-DC network performance. Facing these issues, this paper introduces two novel techniques, VCRoute and WMJitter, to optimize the performance of geo-distributed video conferencing systems. VCRoute is a routing method designed for audio data packets of video conferences. It treats the routing problem as a Multi-Armed Bandit issue, and utilizes a tailored Thompson Sampling algorithm for resolution. Unlike traditional approaches, VCRoute considers transmitting latency and its variance simultaneously by using Thompson Sampling algorithm, which leads to effective end-to-end latency optimization. In conjunction with VCRoute, we present WMJitter, a watermark-based mechanism for managing network jitter, which can further reduce the end-to-end delay and keep an improved balance between latency and loss rate. Evaluations based on real geo-distributed network performance demonstrate the effectiveness and scalability of VCRoute and WMJitter, offering robust solutions for optimizing video conferencing systems in geo-distributed settings.
format Preprint
id arxiv_https___arxiv_org_abs_2310_05054
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Low-Latency Video Conferencing via Optimized Packet Routing and Reordering
Xiao, Yao
Chen, Sitian
Zhou, Amelie Chi
Zhang, Shuhao
Wang, Yi
Mao, Rui
Yang, Xuan
Networking and Internet Architecture
Distributed, Parallel, and Cluster Computing
Distributed, Parallel and P2P Data Management
In the face of rising global demand for video meetings, managing traffic across geographically distributed (geo-distributed) data centers presents a significant challenge due to the dynamic and limited nature of inter-DC network performance. Facing these issues, this paper introduces two novel techniques, VCRoute and WMJitter, to optimize the performance of geo-distributed video conferencing systems. VCRoute is a routing method designed for audio data packets of video conferences. It treats the routing problem as a Multi-Armed Bandit issue, and utilizes a tailored Thompson Sampling algorithm for resolution. Unlike traditional approaches, VCRoute considers transmitting latency and its variance simultaneously by using Thompson Sampling algorithm, which leads to effective end-to-end latency optimization. In conjunction with VCRoute, we present WMJitter, a watermark-based mechanism for managing network jitter, which can further reduce the end-to-end delay and keep an improved balance between latency and loss rate. Evaluations based on real geo-distributed network performance demonstrate the effectiveness and scalability of VCRoute and WMJitter, offering robust solutions for optimizing video conferencing systems in geo-distributed settings.
title Low-Latency Video Conferencing via Optimized Packet Routing and Reordering
topic Networking and Internet Architecture
Distributed, Parallel, and Cluster Computing
Distributed, Parallel and P2P Data Management
url https://arxiv.org/abs/2310.05054