Brief Announcement: Gossiping with Latencies

Seth Gilbert, Peter Robinson, S. Sourav
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引用次数: 2

Abstract

Consider the classical problem of information dissemination: one (or more) nodes in a network have some information that they want to distribute to the remainder of the network. In this paper, we study the cost of information dissemination in networks where edges have latencies, i.e., sending a message from one node to another takes some amount of time. We first generalize the idea of conductance to weighted graphs, defining φ* to be the "weighted conductance" and l* to be the "critical latency." One goal of this paper is to argue that φ* characterizes the connectivity of a weighted graph with latencies in much the same way that conductance characterizes the connectivity of unweighted graphs. We give near tight lower and upper bounds on the problem of information dissemination. Specifically, we show that in a graph with (weighted) diameter D (with latencies as weights), maximum degree Δ, weighted conductance φ* and critical latency l*, any information dissemination algorithm requires at least Ω(min(D+Δ, l*/φ*)) time. We then give nearly matching algorithms, showing that information dissemination can be solved in O(min((D + Δ)log3n), (l*/φ*)log(n)) time.
简短声明:与延迟者八卦
考虑一下信息传播的经典问题:网络中的一个(或多个)节点有一些信息,它们希望将这些信息分发给网络的其余节点。在本文中,我们研究了边缘具有延迟的网络中信息传播的成本,即从一个节点发送消息到另一个节点需要一定的时间。我们首先将电导的概念推广到加权图中,定义φ*为“加权电导”,l*为“临界延迟”。本文的一个目标是论证φ*表征具有延迟的加权图的连通性,就像电导表征非加权图的连通性一样。给出了信息传播问题的近紧下界和上界。具体来说,我们证明了在(加权)直径D(以延迟为权重),最大度Δ,加权电导φ*和临界延迟l*的图中,任何信息传播算法至少需要Ω(min(D+Δ, l*/φ*))时间。然后给出了近似匹配算法,表明信息传播可以在O(min((D + Δ)log3n), (l*/φ*)log(n))时间内解决。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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