Connectivity Labeling Schemes for Edge and Vertex Faults via Expander Hierarchies
Yaowei Long, Seth Pettie, Thatchaphol Saranurak

TL;DR
This paper introduces improved deterministic and randomized labeling schemes for graph connectivity under vertex and edge faults, utilizing expander hierarchies and coding techniques to reduce label size and enhance efficiency.
Contribution
It presents new deterministic and randomized labeling schemes with smaller label sizes for fault-tolerant connectivity, improving upon prior bounds using novel hierarchical and coding methods.
Findings
Deterministic edge fault labels of O(\u221a{f}) bits, polynomial construction time.
Enhanced vertex fault labels of O(f^4 old) bits, using improved hierarchies.
Reduced randomized label sizes for edge and vertex faults, approaching theoretical lower bounds.
Abstract
We consider the problem of assigning short labels to the vertices and edges of a graph so that given any query with , we can determine whether and are still connected in , given only the labels of . This problem has been considered when (edge faults), where correctness is guaranteed with high probability (w.h.p.) or deterministically, and when (vertex faults), both w.h.p.~and deterministically. Our main results are as follows. [Deterministic Edge Faults.] We give a new deterministic labeling scheme for edge faults that uses -bit labels, which can be constructed in polynomial time. This improves on Dory and Parter's [PODC 2021] existential bound of (requiring exponential time to compute) and the efficient -bit scheme of Izumi, Emek, Wadayama, and…
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Taxonomy
TopicsInterconnection Networks and Systems · Graph Theory and Algorithms
