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A New Distributed Resource-Allocation Algorithm with Optimal Failure Locality

Failure locality measures an algorithm’s robustness to process failures. We present a new algorithm for the dining philosophers problem — a classic problem in distributed resource allocation — that has optimal failure locality. As a refinement, the algorithm can be easily parameterized by a simple failure model to achieve super-optimal failure locality in the average case.