Network Scaffolding for Efficient Stabilization of the Chord Overlay Network

TL;DR

This paper introduces a novel self-stabilizing algorithm for Chord overlay networks that operates efficiently with polylogarithmic time and space complexity, improving robustness and scalability in fault-prone environments.

Contribution

It presents the first polylogarithmic time and space self-stabilizing algorithm for Chord networks and proposes a general design pattern for other overlay topologies.

Findings

Achieves polylogarithmic stabilization time and space complexity.

Demonstrates robustness of the Chord network in fault-prone environments.

Provides a generalizable technique for designing self-stabilizing overlay networks.

Abstract

Overlay networks, where nodes communicate with neighbors over logical links consisting of zero or more physical links, have become an important part of modern networking. From data centers to IoT devices, overlay networks are used to organize a diverse set of processes for efficient operations like searching and routing. Many of these overlay networks operate in fragile environments where faults that perturb the logical network topology are commonplace. Self-stabilizing overlay networks offer one approach for managing these faults, promising to build or restore a particular topology from any weakly-connected initial configuration. Designing efficient self-stabilizing algorithms for many topologies, however, is not an easy task. For non-trivial topologies that have desirable properties like low diameter and robust routing in the face of node or link failures, self-stabilizing algorithms to date have had at least linear running time or space requirements. In this work, we address this issue by presenting an algorithm for building a Chord network that has polylogarithmic time and space complexity. Furthermore, we discuss how the technique we use for building this Chord network can be generalized into a ``design pattern'' for other desirable overlay network topologies.