DOI: 10.37099/mtu.dc.etdr/90
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On the Limits and Practice of Automatically Designing Self-Stabilization

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“…While algorithm synthesis problems are typically undecidable, there are areas of theoretical computer science in which we can make use of computational techniques in algorithm design-at least in principle, and sometimes also in practice. One such area is the theory of distributed computing; see [3,5,6,9,11,17,19,26] for examples of recent success stories. In this work we bring yet another piece of good news: Consider this setting: there is a computer network that consists of a path with n nodes, the nodes are labeled with inputs from a constant-sized set, and the task is to find output labels from a constant-sized set subject to some local constraints.…”
Section: Introductionmentioning
confidence: 99%
“…While algorithm synthesis problems are typically undecidable, there are areas of theoretical computer science in which we can make use of computational techniques in algorithm design-at least in principle, and sometimes also in practice. One such area is the theory of distributed computing; see [3,5,6,9,11,17,19,26] for examples of recent success stories. In this work we bring yet another piece of good news: Consider this setting: there is a computer network that consists of a path with n nodes, the nodes are labeled with inputs from a constant-sized set, and the task is to find output labels from a constant-sized set subject to some local constraints.…”
Section: Introductionmentioning
confidence: 99%