Approximate matching in publish/subscribe

Haifeng Liu, H. A. Jacobsen

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

The publish/subscribe paradigm has found wide-spread applications, including selective information dissemination, location-based services, enterprises application integration, and network management. However, all existing publish/subscribe system models cannot capture any kind of uncertainty naturally inherent to many real world scenarios about formulated. To address this shortcoming, this paper proposes a new publish/subscribe system model to process uncertainties in both subscriptions and publications. The system model is evaluated in an implementation of a publish/subscribe system supporting uncertainties in publications and subscriptions through an approximate matching semantic.

OriginalspracheEnglisch
TitelProceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation
UntertitelComputational Intelligence in Robotics and Automation for the New Millennium
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten192-197
Seitenumfang6
ISBN (elektronisch)0780378660
DOIs
PublikationsstatusVeröffentlicht - 2003
Extern publiziertJa
Veranstaltung2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003 - Kobe, Japan
Dauer: 16 Juli 200320 Juli 2003

Publikationsreihe

NameProceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA
Band1

Konferenz

Konferenz2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003
Land/GebietJapan
OrtKobe
Zeitraum16/07/0320/07/03

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