Perfect Network Resilience in Polynomial Time
Matthias Bentert, Stefan Schmid

TL;DR
This paper provides a complete characterization of when perfect network resilience is achievable with local rerouting rules, offering efficient algorithms to decide and compute such rules, and showing skipping rules are as powerful as general ones.
Contribution
It offers a full characterization of perfect resilience feasibility, along with polynomial-time algorithms for decision and construction, and proves skipping rerouting rules are as powerful as general rules.
Findings
Decidable in linear time whether a network is perfectly resilient.
Provides an $O(nm)$-time algorithm to compute perfect rerouting rules.
Shows skipping rerouting rules are as powerful as general rules.
Abstract
Modern communication networks support local fast rerouting mechanisms to quickly react to link failures: nodes store a set of conditional rerouting rules which define how to forward an incoming packet in case of incident link failures. The rerouting decisions at any node must rely solely on local information available at : the link from which a packet arrived at , the target of the packet, and the incident link failures at . Ideally, such rerouting mechanisms provide perfect resilience: any packet is routed from its source to its target as long as the two are connected in the underlying graph after the link failures. Already in their seminal paper at ACM PODC '12, Feigenbaum, Godfrey, Panda, Schapira, Shenker, and Singla showed that perfect resilience cannot always be achieved. While the design of local rerouting algorithms has received much attention since then, we still…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Advanced Optical Network Technologies · Advanced Graph Theory Research
