Regional IP Anycast: Deployments, Performance, and Potentials
Minyuan Zhou, Xiao Zhang, Shuai Hao, Xiaowei Yang, Jiaqi Zheng, Guihai Chen, Wanchun Dou
Abstract
Recent studies show that an end system's traffic may reach a distant anycast site within a global IP anycast system, resulting in high latency. To address this issue, some private and public CDNs have implemented regional IP anycast, a technique that involves dividing content-hosting sites into geographic regions, announcing a unique IP anycast prefix for each region, and utilizing DNS and IP-geolocation to direct clients to CDN sites in their corresponding geographic regions. In this work, we aim to understand how a regional anycast CDN partitions its sites and maps its customers' clients to its sites, and how a regional anycast CDN performs compared to its global anycast counterpart. We study the deployment strategies and the performance of two CDNs (Edgio and Imperva) that currently deploy regional IP anycast. We find that both Edgio and Imperva partition their sites and clients following continent or country borders. Furthermore, we compare the client latency distribution in Imperva's regional anycast CDN with its similar-scale DNS global anycast network, while accounting for and mitigating the relevant deployment differences between the two networks. We find that regional anycast can effectively alleviate the pathology in global IP anycast where BGP routes clients' traffic to distant CDN sites. However, DNS mapping inefficiencies, where DNS returns a sub-optimal regional IP anycast address that does not cover a client's low-latency CDN sites, can harm regional anycast's performance. Finally, we show what performance benefits regional IP anycast can achieve with a latency-based region partition method using the Tangled testbed. When compared to global anycast, regional anycast significantly reduces the 90th percentile client latency by 58.7% to 78.6% for clients across different geographic areas.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext a59500dd-e470-49ce-9a9a-d85b707a6fe6Cited by top-tier papers4
- PAINTER: Ingress Traffic Engineering and Routing for Enterprise Cloud NetworksThomas Koch, Shuyue Yu, Sharad Agarwal, Ethan Katz-Bassett et al.SIGCOMM 2023 · 11 citations
- AnyPro: Preference-Preserving Anycast Optimization based on Strategic AS-Path PrependingMinyuan Zhou, Yuning Chen, Jiaqi Zheng, Yifei Xu et al.NSDI 2026 · 1 citation
- Investigating Web Content Delivery Performance over StarlinkRohan Bose, Jinwei Zhao, Tanya Shreedhar, Jianping Pan et al.WWW 2026 · 1 citation
- SAIP: Accurate Detection of Anycast Servers with the Rise of Regional AnycastKe Zhou, Shuai Wang, Li Chen, Dan Li et al.INFOCOM 2025
Builds on5
- Tranco: A Research-Oriented Top Sites Ranking Hardened Against ManipulationVictor Le Pochat, Tom van Goethem, Samaneh Tajalizadehkhoob, Maciej Korczynski et al.NDSS 2019 · 826 citations
- Anycast In context: a tale of two systemsThomas Koch, Ethan Katz-Bassett, John S. Heidemann, Matt Calder et al.SIGCOMM 2021 · 39 citations
- Akamai DNS: Providing Authoritative Answers to the World's QueriesKyle Schomp, Onkar Bhardwaj, Eymen Kurdoglu, Mashooq Muhaimen et al.SIGCOMM 2020 · 38 citations
- End-Users Get Maneuvered: Empirical Analysis of Redirection Hijacking in Content Delivery NetworksShuai Hao, Yubao Zhang, Haining Wang, Angelos StavrouUSENIX Security 2018 · 37 citations
- AnyOpt: predicting and optimizing IP Anycast performanceXiao Zhang, Tanmoy Sen, Zheyuan Zhang, Tim April et al.SIGCOMM 2021 · 19 citations
Related papers
- ReOpt: Near-Optimal Region Division for Low-Latency Regional AnycastYimeng Xu, Minyuan Zhou, Congying Wang, Jiaqi Zheng et al.INFOCOM 2026
- Anycast Agility: Network Playbooks to Fight DDoSA. S. M. Rizvi, Leandro M. Bertholdo, João M. Ceron, John S. HeidemannUSENIX Security 2022
- Topaz: Declarative and Verifiable Authoritative DNS at CDN-ScaleJames Larisch, Timothy Alberdingk Thijm, Suleman Ahmad, Peter Wu et al.SIGCOMM 2024 · 1 citation
- Discovering and Measuring CDNs Prone to Domain FrontingKarthika Subramani, Roberto Perdisci, Pierros-Christos Skafidas, Manos AntonakakisWWW 2024 · 5 citations
- CDN Judo: Breaking the CDN DoS Protection with ItselfRun Guo, Weizhong Li, Baojun Liu, Shuang Hao et al.NDSS 2020
