Approximate matching in publish/subscribe

Haifeng Liu; H. A. Jacobsen

doi:10.1109/CIRA.2003.1222087

Approximate matching in publish/subscribe

Haifeng Liu, H. A. Jacobsen

University of Toronto

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

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.

Original language	English
Title of host publication	Proceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation
Subtitle of host publication	Computational Intelligence in Robotics and Automation for the New Millennium
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	192-197
Number of pages	6
ISBN (Electronic)	0780378660
DOIs	https://doi.org/10.1109/CIRA.2003.1222087
State	Published - 2003
Externally published	Yes
Event	2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003 - Kobe, Japan Duration: 16 Jul 2003 → 20 Jul 2003

Publication series

Name	Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA
Volume	1

Conference

Conference	2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003
Country/Territory	Japan
City	Kobe
Period	16/07/03 → 20/07/03

Access to Document

10.1109/CIRA.2003.1222087

Cite this

Liu, H., & Jacobsen, H. A. (2003). Approximate matching in publish/subscribe. In Proceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium (pp. 192-197). Article 1222087 (Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIRA.2003.1222087

Liu, Haifeng ; Jacobsen, H. A. / Approximate matching in publish/subscribe. Proceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium. Institute of Electrical and Electronics Engineers Inc., 2003. pp. 192-197 (Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA).

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title = "Approximate matching in publish/subscribe",

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.",

author = "Haifeng Liu and Jacobsen, {H. A.}",

note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003 ; Conference date: 16-07-2003 Through 20-07-2003",

year = "2003",

doi = "10.1109/CIRA.2003.1222087",

language = "English",

series = "Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "192--197",

booktitle = "Proceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation",

}

Liu, H & Jacobsen, HA 2003, Approximate matching in publish/subscribe. in Proceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium., 1222087, Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA, vol. 1, Institute of Electrical and Electronics Engineers Inc., pp. 192-197, 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003, Kobe, Japan, 16/07/03. https://doi.org/10.1109/CIRA.2003.1222087

Approximate matching in publish/subscribe. / Liu, Haifeng; Jacobsen, H. A.
Proceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium. Institute of Electrical and Electronics Engineers Inc., 2003. p. 192-197 1222087 (Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA; Vol. 1).

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

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AB - 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.

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M3 - Conference contribution

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BT - Proceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 16 July 2003 through 20 July 2003

ER -

Liu H, Jacobsen HA. Approximate matching in publish/subscribe. In Proceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium. Institute of Electrical and Electronics Engineers Inc. 2003. p. 192-197. 1222087. (Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA). doi: 10.1109/CIRA.2003.1222087

Approximate matching in publish/subscribe

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