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A Generalized Algorithm for Publish/Subscribe Overlay Design and Its Fast Implementation

  • Chen Chen
  • Roman Vitenberg
  • Hans-Arno Jacobsen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7611)

Abstract

It is a challenging and fundamental problem to construct the underlying overlay network to support efficient and scalable information distribution in topic-based publish/subscribe systems. Existing overlay design algorithms aim to minimize the node fan-out while building topic-connected overlays, in which all nodes interested in the same topic are organized in a directly connected dissemination sub-overlay. However, most state-of-the-art algorithms suffer from high computational complexity, such as O(|V|4|T|), where V is the node set and T is the topic set.

We devise a general indexing data structure that provides a significantly faster implementation, with O(|V|2|T|) running time, for different state-of-the-art algorithms. The generality of the indexing data structure is due to the fact that it enables edge lookup by both node degree and edge contribution, a central metric in all existing algorithms. When tested on typical pub/sub workloads, the speedup observed was by a factor of over 1 000, thereby rendering the algorithms more suitable for practical use. For example, under a typically Zipf distributed pub/sub workload, with 1 000 nodes and 100 topics, our new implementation completes in 3.823 seconds, while the previous alternative takes over 555 minutes.

Keywords

Node Degree Overlay Network Fast Implementation Average Node Degree Zipf Distribution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Chen Chen
    • 1
  • Roman Vitenberg
    • 2
  • Hans-Arno Jacobsen
    • 1
  1. 1.Department of Electrical and Computer EngineeringUniversity of TorontoCanada
  2. 2.Department of InformaticsUniversity of OsloNorway

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