2019
DOI: 10.4230/lipics.disc.2019.37
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Brief Announcement: Memory Lower Bounds for Self-Stabilization

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“…The model considered in this paper bears similarities with some models used in the context of self-stabilization. Many papers (see, e.g., [9,10,11,12]) have addressed the design of self-stabilizing algorithms for 3-coloring the cycles, or for (𝛥 + 1)-coloring graphs with maximum degree 𝛥. Self-stabilization assumes that the processing elements can behave arbitrarily bad (all variables can be corrupted). The objective is to design algorithms which, starting from an arbitrary initial configuration, eventually compute a legal configuration (e.g., a configuration in which the colors assigned to the nodes form a proper coloring) whenever no failures occur during a sufficiently long period.…”
Section: Related Workmentioning
confidence: 99%
“…The model considered in this paper bears similarities with some models used in the context of self-stabilization. Many papers (see, e.g., [9,10,11,12]) have addressed the design of self-stabilizing algorithms for 3-coloring the cycles, or for (𝛥 + 1)-coloring graphs with maximum degree 𝛥. Self-stabilization assumes that the processing elements can behave arbitrarily bad (all variables can be corrupted). The objective is to design algorithms which, starting from an arbitrary initial configuration, eventually compute a legal configuration (e.g., a configuration in which the colors assigned to the nodes form a proper coloring) whenever no failures occur during a sufficiently long period.…”
Section: Related Workmentioning
confidence: 99%