
Editorial
Mitigating Latency in Chord-Based Routing under IPv6
@ARTICLE{10.4108/eetsis.9992, author={Xubin Lin and Feifei Hu and Liu Wu}, title={Mitigating Latency in Chord-Based Routing under IPv6}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={12}, number={7}, publisher={EAI}, journal_a={SIS}, year={2026}, month={1}, keywords={IPv6, latency, system design, performance evaluation}, doi={10.4108/eetsis.9992} }- Xubin Lin
Feifei Hu
Liu Wu
Year: 2026
Mitigating Latency in Chord-Based Routing under IPv6
SIS
EAI
DOI: 10.4108/eetsis.9992
Abstract
As the transition to IPv6 enables a massive expansion of the peer-to-peer (P2P) network landscape, traditional Chord-based routing protocols face significant performance bottlenecks due to the lack of awareness of the underlying physical network topology. In this paper, we propose eChord, a topology-aware routing system designed to mitigate latency in large-scale IPv6 environments by exploiting network locality. The key of eChord is a bifurcated routing architecture that maintains dual routing states: a localFinger table for intradomain routing within autonomous systems (AS) and a globalFinger table for inter-domain connectivity. By optimizing the identifier space and introducing a locality factor ρ to prioritize local lookups, eChord can effectively reduce the reliance on high-latency backbone links.We then perform amulti-dimensional efficiency analysis of the eChord system, in terms of expected hop number, end-to-end latency, and state maintenance overhead. Numerical simulations are finally provided to demonstrate that the proposed eChord system can significantly outperform standard Chord in various network scales. In particular, in a network of 106 nodes distributed across 500 ASs with a locality factor of ρ = 0.8, the proposed eChord system reduces the average routing latency by approximately 75% compared to the traditional, locality-agnostic Chord protocol.
Copyright © 2026 Feifei Hu et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.


