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Weighted Overlay Design for Topic-Based Publish/Subscribe Systems on Geo-Distributed Data Centers

机译:地理分布数据中心上基于主题的发布/订阅系统的加权覆盖设计

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We incorporate underlay information into overlay design for topic-based publish/subscribe (pub/sub) systems on geo-distributed data centers. We propose the MinAvg-WTCO problem that optimizes the weighted average node degree while constructing a topic-connected overlay (TCO), i.e., Each topic induces a connected sub-overlay among all nodes interested in this topic. Most existing TCO designs are oblivious to the low-level network infrastructure and assume edge equivalence. We prove that MinAvg-WTCO is NP-complete and difficult to approximate within a logarithmic factor with regard to the number of nodes. We devise several approximation algorithms for MinAvg-WTCO using different design techniques. Both theoretical analysis and empirical evaluation show that our designed algorithms tread the balance between overlay quality and runtime cost. Our algorithms significantly outperform the state of the art for TCO design that ignores edge differences.
机译:我们将底层信息纳入叠加设计中,以便在地理分布的数据中心上基于主题的发布/订阅(pub / sub)系统。我们提出了MinAvg-WTCO问题,该问题在构建主题连接的覆盖(TCO)时优化了加权平均节点度,即每个主题在对该主题感兴趣的所有节点之间引发了一个连接的子覆盖。现有的大多数TCO设计都忽略了底层网络基础结构,并假定了边缘等效性。我们证明MinAvg-WTCO是NP完全的,并且很难在节点数的对数因子内近似。我们使用不同的设计技术为MinAvg-WTCO设计了几种近似算法。理论分析和实证评估均表明,我们设计的算法在覆盖质量和运行时间成本之间取得了平衡。对于忽略边缘差异的TCO设计,我们的算法明显优于现有技术。

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