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Order Optimal Information Spreading Using Algebraic Gossip

机译:使用代数八卦的订单最优信息传播

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In this paper we study gossip based information spreading with bounded message sizes. We use algebraic gossip to disseminate k distinct messages to all n nodes in a network. For arbitrary networks we provide a new upper bound for uniform algebraic gossip of O((k + log n + D) Δ) rounds with high probability, where D and Δ are the diameter and the maximum degree in the network, respectively. For many topologies and selections of k this bound improves previous results, in particular, for graphs with a constant maximum degree it implies that uniform gossip is order optimal and the stopping time is Θ(k + D). To eliminate the factor of Δ from the upper bound we propose a non-uniform gossip protocol. TAG, which is based on algebraic gossip and an arbitrary spanning tree protocol S. The stopping time of TAG is O(k+log n+d(S)+t(S)), where t(S) is the stopping time of the spanning tree protocol, and d(S) is the diameter of the spanning tree. We provide two general cases in which this bound leads to an order optimal protocol. The first is for k = Ω(n), where, using a simple gossip broadcast protocol that creates a spanning tree in at most linear time, we show that TAG finishes after Θ(n) rounds for any graph. The second uses a sophisticated, recent gossip protocol to build a fast spanning tree on graphs with large weak conductance. In turn, this leads to the optimally of TAG on these graphs for k = Ω(polylog(n)). The technique used in our proofs relies on queuing theory, which is an interesting approach that can be useful in future gossip analysis.
机译:在本文中,我们研究了基于八卦的信息传播,其中信息大小有限。我们使用代数八卦将k条不同的消息传播到网络中的所有n个节点。对于任意网络,我们为O((k + log n + D)Δ)轮的均匀代数八卦提供了新的上限,其中D和Δ分别是网络中的直径和最大度。对于k的许多拓扑和选择,此界限会改善以前的结果,特别是对于具有恒定最大度数的图,这意味着均匀的八卦是阶次最优的,并且停止时间为Θ(k + D)。为了从上限消除Δ因子,我们提出了一种非均匀的八卦协议。 TAG,它基于代数八卦和任意生成树协议S。TAG的停止时间为O(k + log n + d(S)+ t(S)),其中t(S)为停止时间生成树协议,而d(S)是生成树的直径。我们提供了两种通常的情况,在这种情况下,此界限导致了订单优化协议。第一个是针对k =Ω(n),其中,使用简单的八卦广播协议最多在线性时间内创建生成树,我们显示出TAG在θ(n)回合后对于任何图均完成。第二种使用复杂的最新八卦协议在具有弱电导的图形上建立快速生成树。反过来,对于k =Ω(polylog(n)),这将导致这些图上的TAG最优。我们的证明中使用的技术依赖于排队论,这是一种有趣的方法,可用于将来的八卦分析。

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