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Compact self-stabilizing leader election for general networks

机译:一般网络紧凑的自我稳定领导者选举

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We present a self-stabilizing leader election algorithm for general networks, with space-complexity O(log △ + log log n) bits per node in n-node networks with maximum degree △.This space complexity is sub-logarithmic in n as long as △ = n°(1). The best space-complexity known so far for general networks was O(log n) bits per node, and algorithms with sub-logarithmic space-complexities were known for the ring only. To our knowledge, our algorithm is the first algorithm for self-stabilizing leader election to break the Ω(log n) bound for silent algorithms in general networks. Breaking this bound was obtained via the design of a (non-silent) self-stabilizing algorithm using sophisticated tools such as solving the distance-2 coloring problem in a silent self-stabilizing manner, with space-complexity O(log △ + log log n) bits per node. Solving this latter coloring problem allows us to implement a sub-logarithmic encoding of spanning trees - storing the IDs of the neighbors requires Ω(log n) bits per node, while we encode spanning trees using O(log △ + log log n) bits per node. Moreover, we show how to construct such compactly encoded spanning trees without relying on variables encoding distances or number of nodes, as these two types of variables would also require Ω(log n) bits per node.
机译:我们为一般网络提供了一个自稳定的领导者选举算法,空间复杂度O(log△+ log log n)在具有最大程度的n节点网络中的每个节点位数△。本空间复杂性在n中为sub-logarithic △= n°(1)。到目前为止,迄今为止通用网络已知的最佳空间复杂度是每个节点的O(log n)位,并且仅以铃声已知具有子对数空间复杂性的算法。据我们所知,我们的算法是一种自我稳定领导者选举的第一算法,用于打破一般网络中无声算法的ω(log n)。通过使用复杂的工具(如静音自稳定方式)以沉默的自稳定方式求解距离-2着色问题,可以通过设计(非静音)自稳定算法而设计,获得该绑定。(log△+日志日志n)每个节点位。解决后一种着色问题允许我们实现生成树的子对数编码 - 存储邻居的ID,需要每个节点ω(log n)位,同时使用o(log△+ log log n)位编码生成树每个节点。此外,我们展示了如何构建这种紧凑型编码的生成树,而无需依赖于编码距离或节点数量的变量,因为这两种类型的变量也需要每个节点的ω(log n)位。

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