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Decentralized Message Ordering for Publish/Subscribe Systems

  • Cristian Lumezanu
  • Neil Spring
  • Bobby Bhattacharjee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4290)

Abstract

We describe a method to order messages across groups in a publish/subscribe system without centralized control or large vector timestamps. We show that our scheme is practical—little state is required; that it is scalable—the maximum message load is limited by receivers; and that it performs well—the paths messages traverse to be ordered are not made much longer than necessary. Our insight is that only messages to groups that overlap in membership can be observed to arrive out of order: sequencing messages to these groups is sufficient to provide a consistent order, and when publishers subscribe to the groups to which they send, this message order is a causal order.

Keywords

Sequence Number Sequencing Graph Causal Order Zipf Distribution Sequencing Node 
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

© IFIP International Federation for Information Processing 2006

Authors and Affiliations

  • Cristian Lumezanu
    • 1
  • Neil Spring
    • 1
  • Bobby Bhattacharjee
    • 1
  1. 1.University of MarylandCollege ParkUSA

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