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A random projection approach to subscription covering detection in publish/subscribe systems

  • Oregon State University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Subscription covering detection is useful to improving the performance of any publish/subscribe system. However, an exact solution to querying coverings among a large set of subscriptions in high dimension is computationally too expensive to be practicable. Therefore, we are interested in an approximate approach. We focus on spherical subscriptions and propose a solution based on random projections. Our complexities are substantially better than that of the exact approach. The proposed solution can potentially find exact coverings with a success probability 100% asymptotically approachable.

Original languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Collaborative Computing
Subtitle of host publicationNetworking, Applications and Worksharing, CollaborateCom 2007
Pages362-369
Number of pages8
DOIs
StatePublished - 2007
Event3rd International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2007 - White Plains, NY, United States
Duration: Nov 12 2007 → Nov 15 2007

Publication series

NameProceedings of the 3rd International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2007

Conference

Conference3rd International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2007
Country/TerritoryUnited States
CityWhite Plains, NY
Period11/12/07 → 11/15/07

ASJC Scopus Subject Areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Software

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