Cost-efficient Request Mapping for Large-scale Live Streaming Services

The live streaming landscape has shifted to a crowd-sourced paradigm, resulting in highly volatile and geographically diverse viewer demand. To handle growing traffic, Content Delivery Networks (CDNs) increasingly rely on a mix of dedicated infrastructure and lower-cost, heterogeneous edge resources. Our analysis of production data reveals two emerging characteristics in modern live delivery: dynamic regional supply-demand imbalance and per-stream heterogeneity in popularity and geography. However, existing request mapping solutions fall short in this new landscape, as they assume stable regional capacity and overlook stream-level heterogeneity. This paper proposes LiveMap , a cost-efficient and latency-aware request mapping system for live CDNs. LiveMap performs online bandwidth provisioning via dual-level coordination to resolve regional supply-demand imbalances and reduce bandwidth costs. Further, LiveMap introduces an adaptive stream mapping strategy that dynamically forms per-stream delivery groups based on real-time popularity and system load. Deployed in Bilibili CDN serving crowdsourced live streaming over a year, LiveMap reduces bandwidth costs by 42.18% and access latency by 20.26%, outperforming the state-of-the-art solutions.

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Publication Details

Journal
Proceedings of the ACM on Networking
Published
2025-11-24
DOI
https://doi.org/10.1145/3768978
Primary Topic
Image and Video Quality Assessment
Type
article
Field-Weighted Citation Impact
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article

Cost-efficient Request Mapping for Large-scale Live Streaming Services

Gareth Tyson, Qinghua Wu, Gaogang Xie, Gerui Lv et al.
Proceedings of the ACM on Networking
Image and Video Quality Assessment
article

Cost-efficient Request Mapping for Large-scale Live Streaming Services

Gareth Tyson, Qinghua Wu, Gaogang Xie, Gerui Lv, Jiaxing Zhang, Mingqi Liu, Xi Wang, Ao Li, Chuanqing Lin, Zhenyu Li, Zhenhua Li, Jie Xiong, Zhi-Qun Zhong, Jian Mao, Yu Tian
article en

Abstract

The live streaming landscape has shifted to a crowd-sourced paradigm, resulting in highly volatile and geographically diverse viewer demand. To handle growing traffic, Content Delivery Networks (CDNs) increasingly rely on a mix of dedicated infrastructure and lower-cost, heterogeneous edge resources. Our analysis of production data reveals two emerging characteristics in modern live delivery: dynamic regional supply-demand imbalance and per-stream heterogeneity in popularity and geography. However, existing request mapping solutions fall short in this new landscape, as they assume stable regional capacity and overlook stream-level heterogeneity. This paper proposes LiveMap , a cost-efficient and latency-aware request mapping system for live CDNs. LiveMap performs online bandwidth provisioning via dual-level coordination to resolve regional supply-demand imbalances and reduce bandwidth costs. Further, LiveMap introduces an adaptive stream mapping strategy that dynamically forms per-stream delivery groups based on real-time popularity and system load. Deployed in Bilibili CDN serving crowdsourced live streaming over a year, LiveMap reduces bandwidth costs by 42.18% and access latency by 20.26%, outperforming the state-of-the-art solutions.

Proceedings of the ACM on NetworkingVol. 3(CoNEXT4)
Nanyang Technological University (SG), Institute of Computing Technology (CN), International Centre for Theoretical Physics Asia-Pacific (CN), Computer Network Information Center (CN), Purple Mountain Laboratories (CN), GCI Science & Technology (China) (CN), University of Hong Kong (HK), Tsinghua University (CN)
Openalex Percentile: Top 63%
Image and Video Quality Assessment
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