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Gossip in a Smartphone Peer-to-Peer Network

机译:智能手机点对点网络中的八卦

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摘要

In this paper, we study the fundamental problem of gossip in the mobiletelephone model: a recently introduced variation of the classical telephonemodel modified to better describe the local peer-to-peer communication servicesimplemented in many popular smartphone operating systems. In more detail, themobile telephone model differs from the classical telephone model in threeways: (1) each device can participate in at most one connection per round; (2)the network topology can undergo a parameterized rate of change; and (3)devices can advertise a parameterized number of bits about their state to theirneighbors in each round before connection attempts are initiated. We begin bydescribing and analyzing new randomized gossip algorithms in this model underthe harsh assumption of a network topology that can change completely in everyround. We prove a significant time complexity gap between the case where nodescan advertise $0$ bits to their neighbors in each round, and the case wherenodes can advertise $1$ bit. For the latter assumption, we present twosolutions: the first depends on a shared randomness source, while the secondeliminates this assumption using a pseudorandomness generator we prove to existwith a novel generalization of a classical result from the study of two-partycommunication complexity. We then turn our attention to the easier case wherethe topology graph is stable, and describe and analyze a new gossip algorithmthat provides a substantial performance improvement for many parameters. Weconclude by studying a relaxed version of gossip in which it is only necessaryfor nodes to each learn a specified fraction of the messages in the system.
机译:在本文中,我们研究了移动电话模型中的八卦的基本问题:最近引入的经典电话模型的变体经过修改,以更好地描述在许多流行的智能手机操作系统中实现的本地对等通信服务。更详细地说,移动电话模型在三个方面不同于传统电话模型:(1)每个设备每轮最多可以参与一个连接; (2)网络拓扑可以经历参数化的变化率; (3)设备可以在发起连接尝试之前的每一轮中向其邻居通告参数化数量的状态信息。我们首先在严苛的网络拓扑结构假设下描述和分析该模型中的新随机八卦算法,该拓扑结构可以在各个方面完全改变。我们证明了在每个节点节点可以向邻居通告$ 0 $比特的情况与节点可以通告$ 1 $比特的情况之间的时间复杂度差距。对于后一种假设,我们提出了两种解决方案:第一种取决于共享的随机性源,而第二种使用伪随机发生器消除了这种假设,我们证明了通过对两方通信复杂性的研究,对经典结果进行了新颖的概括。然后,我们将注意力转向拓扑图稳定的较简单情况,并描述和分析一种新的八卦算法,该算法为许多参数提供了显着的性能改进。通过研究闲聊的轻松版本来结束本文,在闲聊中,仅节点需要每个节点学习系统中特定部分的消息。

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    Newport, Calvin;

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