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Minimum Maximum-Degree Publish–Subscribe Overlay Network Design

机译:最小最大度发布–订阅叠加网络设计

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Designing an overlay network for publish/subscribe communication in a system where nodes may subscribe to many different topics of interest is of fundamental importance. For scalability and efficiency, it is important to keep the degree of the nodes in the publish/subscribe system low. It is only natural then to formalize the following problem: Given a collection of nodes and their topic subscriptions, connect the nodes into a graph that has least possible maximum degree in such a way that for each topic $t$, the graph induced by the nodes interested in $t$ is connected. We present the first polynomial-time logarithmic approximation algorithm for this problem and prove an almost tight lower bound on the approximation ratio. Our experimental results show that our algorithm drastically improves the maximum degree of publish/subscribe overlay systems. We also propose a variation of the problem by enforcing that each topic-connected overlay network be of constant diameter while keeping the average degree low. We present three heuristics for this problem that guarantee that each topic-connected overlay network will be of diameter 2 and that aim at keeping the overall average node degree low. Our experimental results validate our algorithms, showing that our algorithms are able to achieve very low diameter without increasing the average degree by much.
机译:在节点可以订阅许多不同感兴趣主题的系统中设计用于发布/订阅通信的覆盖网络至关重要。为了提高可伸缩性和效率,重要的是保持发布/订阅系统中的节点级别较低。然后就自然而然地将以下问题形式化:给定节点及其主题订阅的集合,将节点连接到具有最大可能度最小的图形中,使得对于每个主题$ t $,由对$ t $感兴趣的节点已连接。我们针对这个问题提出了第一个多项式时间对数逼近算法,并证明了逼近率的几乎下限。我们的实验结果表明,我们的算法极大地提高了发布/订阅叠加系统的最大程度。我们还通过强制每个主题连接的覆盖网络具有恒定的直径,同时保持较低的平均度来提出该问题的变体。我们针对此问题提出三种启发式方法,以确保每个与主题相关的覆盖网络的直径均为2,并且旨在使总体平均节点度保持较低。我们的实验结果验证了我们的算法,表明我们的算法能够在不增加平均度的情况下实现非常小的直径。

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