TR#: | CS0856 |

Class: | CS |

Title: | LOCAL LABELING AND RESOURCE ALLOCATION
USING PREPROCESSING. |

Authors: | H. Attiya, H. Shachnai and T. Tamir |

Not Available | |

Abstract: | This paper studies the power of non-restricted preprocessing on a communication graph $G$, in a synchronous, reliable system. In our scenario, arbitrary preprocessing can be performed on $G$, after which a sequence of labeling problems have to be solved on different subgraphs of $G$. We suggest a preprocessing that produces an orientation of $G$. The goal is to exploit this preprocessing for minimizing the radius of the neighborhood around each vertex from which data has to be collected in order to determine a label. We define a set of labeling problems for which this can be done. The time complexity of labeling a subgraph depends on the topology of the graph $G$ and is always less than $\min\{_x(G),O((\log n)^2)\}$. On the other hand, we show the existence of a graph for which even unbounded preprocessing does not allow fast solution of a simple labeling problem. Specifically, it is shown that a processor needs to know its $\Omega(\log n/\log \log n)$-neighborhood in order to pick a label. Finally, we derive some results for the resource allocation problem. In particular, we show that $\Omega(\log n/\log \log n)$ communication rounds are needed if resources are to be fully utilized. In this context, we define the {\em compact coloring} problem, for which the orientation preprocessing provides a fast distributed labeling algorithm. This algorithm suggests an efficient solutin for the resource allocation problem. |

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