Rediscovering Recurring Routing Results
Xiao Song, John Heidemann

TL;DR
This paper introduces Fenrir, a system that detects and quantifies recurring routing patterns and changes across the Internet, aiding network operators in understanding and managing routing effects on performance and policy compliance.
Contribution
Fenrir provides a novel approach to rediscover recurring routing results and quantify routing changes, applicable across diverse networking scenarios and measurement types.
Findings
Fenrir successfully detects routing changes even multiple hops away.
It quantifies the degree of routing change and identifies recurring routing modes.
Applied to various systems, Fenrir reveals the impact of traffic engineering and third-party alterations.
Abstract
Routing is central to networking performance, including: (1) latency in anycast services and websites served from multiple locations,(2) networking expenses and throughput in multi-homed enterprises, (3) the ability to keep traffic domestic when considering data sovereignty. However, understanding and managing how routing affects these services is challenging. Operators use Traffic Engineering (TE) with BGP to optimize network performance, but what they get is the result of all BGP policies throughout the Internet, not just their local choices. Our paper proposes Fenrir, a new system to rediscover recurring routing results. Fenrir can discover changes in network routing, even when it happens multiple hops away from the observer. Fenrir also provides new methods to quantify the degree of routing change, and to identify routing "modes" that may reappear. Second, we show that Fenrir can be…
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Taxonomy
TopicsNetwork Traffic and Congestion Control · Software-Defined Networks and 5G · Caching and Content Delivery
