地理分布式数据中心基于主题的发布/订阅系统的加权覆盖设计

Chen Chen, Y. Tock, H. Jacobsen, R. Vitenberg
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引用次数: 12

摘要

我们将底层信息整合到基于主题的地理分布式数据中心发布/订阅(pub/sub)系统的覆盖设计中。我们提出了MinAvg-WTCO问题,该问题在构建主题连接覆盖(TCO)的同时优化加权平均节点度,即每个主题在对该主题感兴趣的所有节点之间诱导一个连接的子覆盖。大多数现有的TCO设计忽略了底层网络基础设施,并假设边缘等效。我们证明了MinAvg-WTCO是np完全的,并且很难在节点数量的对数因子内近似。我们使用不同的设计技术为MinAvg-WTCO设计了几种近似算法。理论分析和实证分析表明,我们设计的算法在覆盖质量和运行成本之间取得了平衡。我们的算法明显优于忽略边缘差异的TCO设计的最新技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Weighted Overlay Design for Topic-Based Publish/Subscribe Systems on Geo-Distributed Data Centers
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.
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