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Order Optimal Information Spreading Using Algebraic Gossip

机译:使用代数八卦订购最优信息

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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,我们将基于Gossip的信息与有界消息尺寸进行扩展。我们使用代数八卦来传播网络中所有N个节点的k个不同的消息。对于任意网络,我们为具有高概率的O((k + log n + d)δ)圆形的均匀代数术语提供了新的上限,其中d和δ分别是网络的直径和最大程度。对于许多拓扑和选择的k这键,特别是对于具有恒定最大程度的图表,它意味着它意味着均匀的八卦是顺序最佳的,并且停止时间是θ(k + d)。为了消除来自上限的δ因子,我们提出了一种非均匀的Gossip协议。标签,基于代数八卦和任意生成树协议S.标签的停止时间是O(k + log n + d(s)+ t(s)),其中t(s)是停止时间生成树协议和D(s)是生成树的直径。我们提供了两个通用案例,其中该绑定导致订单最优协议。第一个是k =ω(n),其中,使用在最线性时间内创建生成树的简单八卦广播协议,我们在θ(n)舍为任何图表之后,我们显示标签完成。第二种使用复杂的最近的Gossip协议来构建具有大弱电导弱的图形的快速生成树。反过来,这导致了k =ω(Polylog(n))上的这些图中的标签上的最佳标签。我们证据中使用的技术依赖于排队理论,这是一种有趣的方法,可以在未来的八卦分析中有用。

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