Publication | Closed Access
DISTANCE-TWO INFORMATION IN SELF-STABILIZING ALGORITHMS
57
Citations
10
References
2004
Year
Mathematical ProgrammingCluster ComputingEngineeringDistributed AlgorithmsComputational ComplexitySelf-stabilizationStabilityCentral DaemonDistributed Problem SolvingDiscrete MathematicsCombinatorial OptimizationPerformance GuaranteeComputer ScienceDistributed ProcessingPopulation ProtocolGeneral MechanismGraph TheoryDistributed ComputingSelf-optimizationGlobal State
In the state-based self-stabilizing algorithmic paradigm for distributed computing, each node has only a local view of the system (seeing its neighbors' states), yet in a finite amount of time the system converges to a global state satisfying some desired property. In this paper we introduce a general mechanism that allows a node to act only on correct distance-two knowledge, provided there are IDs. We then apply the mechanism to graph problems in the areas of coloring and domination. For example, we obtain an algorithm for maximal 2-packing which is guaranteed to stabilize in polynomial moves under a central daemon.
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