Towards Scalable Publish/Subscribe Systems

Shuping Ji, Chunyang Ye, Jun Wei, H. Jacobsen
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引用次数: 5

Abstract

Despite suffering from inefficiency and flexibility limitations, the filter-based routing (FBR) algorithm is widely used in content-based publish/subscribe (pub/sub) systems. To address its limitations, we propose a dynamic destination-based routing algorithm called D-DBR, which decomposes pub/sub into two independent parts: Content-based matching and destination based multicasting. D-DBR exhibits low event matching cost and high efficiency, flexibility, and robustness for event routing in small-scale overlays. To improve its scalability to large-scale overlays, we further extend D-DBR to a new routing algorithm called MERC. MERC divides the overlay into interconnected clusters and applies content-based and destination-based mechanisms to route events inter- and intra-cluster, respectively. We implemented all algorithms in the PADRES pub/sub system. Experimental results show that our algorithms outperform the FBR algorithm.
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迈向可扩展的发布/订阅系统
尽管存在效率低下和灵活性限制的问题,但基于过滤器的路由(FBR)算法在基于内容的发布/订阅(pub/sub)系统中得到了广泛的应用。为了解决它的局限性,我们提出了一种动态的基于目的地的路由算法D-DBR,该算法将发布/订阅分解为两个独立的部分:基于内容的匹配和基于目的地的多播。D-DBR具有低事件匹配成本和高效率、灵活性和鲁棒性,适用于小范围覆盖的事件路由。为了提高其对大规模覆盖的可扩展性,我们进一步将D-DBR扩展到一种名为MERC的新路由算法。MERC将覆盖层划分为相互连接的集群,并分别应用基于内容和基于目的地的机制在集群间和集群内路由事件。我们在PADRES发布/子系统中实现了所有算法。实验结果表明,我们的算法优于FBR算法。
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