Load-Balancing Versus Anycast: A First Look at Operational Challenges

Load Balancing (LB) is a routing strategy that increases performance by distributing traffic over multiple outgoing paths. In this work, we introduce a novel methodology to detect the influence of LB on anycast routing, which can be used by operators to detect networks that experience anycast site flipping, where traffic from a single client reaches multiple anycast sites. We use our methodology to measure the effects of LB-behavior on anycast routing at a global scale, covering both IPv4 and IPv6. Our results show that LB-induced anycast site flipping is widespread. The results also show our method can detect LB implementations on the global Internet, including detection and classification of Points-of-Presence (PoP) and egress selection techniques deployed by hypergiants, cloud providers, and network operators. We observe LB-induced site flipping directs distinct flows to different anycast sites with significant latency inflation. In cases with two paths between an anycast instance and a load-balanced destination, we observe an average RTT difference of 30 ms with 8% of load-balanced destinations seeing RTT differences of over 100 ms. Being able to detect these cases can help anycast operators significantly improve their service for affected clients.

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Publication Details

Journal
IEEE Transactions on Network and Service Management
Published
2025-11-25
DOI
https://doi.org/10.1109/tnsm.2025.3636785
Primary Topic
Network Traffic and Congestion Control
Type
article
Field-Weighted Citation Impact
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article

Load-Balancing Versus Anycast: A First Look at Operational Challenges

Raffaele Sommese, Mattijs Jonker, Remi Hendriks, Roland van Rijswijk-Deij
IEEE Transactions on Network and Service Management
Network Traffic and Congestion Control
article

Load-Balancing Versus Anycast: A First Look at Operational Challenges

Raffaele Sommese, Mattijs Jonker, Remi Hendriks, Roland van Rijswijk-Deij
article en

Abstract

Load Balancing (LB) is a routing strategy that increases performance by distributing traffic over multiple outgoing paths. In this work, we introduce a novel methodology to detect the influence of LB on anycast routing, which can be used by operators to detect networks that experience anycast site flipping, where traffic from a single client reaches multiple anycast sites. We use our methodology to measure the effects of LB-behavior on anycast routing at a global scale, covering both IPv4 and IPv6. Our results show that LB-induced anycast site flipping is widespread. The results also show our method can detect LB implementations on the global Internet, including detection and classification of Points-of-Presence (PoP) and egress selection techniques deployed by hypergiants, cloud providers, and network operators. We observe LB-induced site flipping directs distinct flows to different anycast sites with significant latency inflation. In cases with two paths between an anycast instance and a load-balanced destination, we observe an average RTT difference of 30 ms with 8% of load-balanced destinations seeing RTT differences of over 100 ms. Being able to detect these cases can help anycast operators significantly improve their service for affected clients.

IEEE Transactions on Network and Service ManagementVol. 23
University of Twente (NL)
Openalex Percentile: Top 59%
Network Traffic and Congestion Control
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