智能手机点对点网络中的领导者选举

Calvin C. Newport
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引用次数: 10

摘要

在本文中,我们研究了移动电话模型中领导者选举的基本问题:最近引入的经典电话模型的一个变体,该模型经过修改,以更好地描述许多流行的智能手机操作系统中实现的本地点对点通信服务。更详细地说,移动电话模型与经典电话模型在三个方面不同:(1)每个设备每轮最多只能参与一个连接;(2)网络拓扑可以经历一个参数化的变化速率;(3)在连接尝试开始之前,设备可以在每轮中向其邻居通告一个参数化的比特数。我们首先描述并分析了该模型中一个新的领导者选举算法,该算法在最苛刻的参数假设下工作:最大的拓扑变化率和无广告位。然后,我们应用这一结果来解决[Ghaffari, 2016]中关于在这些条件下推拉式谣言传播效率的开放性问题。然后我们将注意力转向稍微简单的情况,即设备可以在每轮中发布一个比特。我们证明了这些0位和1位情况在时间复杂度上有很大的差距。更详细地,我们描述和分析了一种新的算法,该算法解决了包含参数边界拓扑变化的时间复杂度的领导者选举。对于该参数的所有值,该算法都比之前的结果快,并且随着参数的增加,差距迅速增长(表明变化率较低)。我们通过描述和分析该算法的修改版本来结束,该版本不需要假设所有设备都在同一轮启动。这个新版本具有类似的时间复杂度(所需的轮数仅因多对数因子而不同),但现在需要稍微大一点的广告标签。
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Leader Election in a Smartphone Peer-to-Peer Network
In this paper, we study the fundamental problem of leader election in the mobile telephone model: a recently introduced variation of the classical telephone model modified to better describe the local peer-to-peercommunication services implemented in many popular smartphone operating systems. In more detail, the mobile telephone model differs from the classical telephone model in three ways: (1) each devicecan participate in at most one connection per round; (2) the network topology can undergo a parameterizedrate of change; and (3) devices can advertise a parameterized number of bits to their neighbors in each round before connection attempts are initiated. We begin by describing and analyzing a new leader election algorithm in this model that works under the harshest possible parameter assumptions: maximum rate of topology changes and no advertising bits. We then apply this result to resolve an open question from [Ghaffari, 2016] on the efficiency of PUSH-PULL rumor spreading under these conditions. We then turn our attention to the slightly easier case where devices can advertise a single bit in each round. We demonstrate a large gap in time complexity between these zero bit and one bit cases. In more detail, we describe and analyze a new algorithm that solves leader election with a time complexitythat includes the parameter bounding topology changes. For all values of this parameter, this algorithm is faster than the previous result, with a gap that grows quickly as the parameter increases (indicating lower rates of change). We conclude by describing and analyzing a modified version of this algorithmthat does not require the assumptionthat all devices start during the same round. This new version has a similar time complexity (the rounds required differ only by a polylogarithmic factor),but now requires slightly larger advertisement tags.
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