IDEAS home Printed from https://ideas.repec.org/a/igg/jwsr00/v10y2013i3p60-81.html
   My bibliography  Save this article

A Low-Delay, Light-Weight Publish/Subscribe Architecture for Delay-Sensitive IOT Services

Author

Listed:
  • Yunlei Sun

    (State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China & College of Computer and Communication Engineering, China University of Petroleum, Qingdao, China)

  • Xiuquan Qiao

    (State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China)

  • Wei Tan

    (IBM T. J. Watson Research Center, Yorktown Heights, NY, USA)

  • Bo Cheng

    (State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China)

  • Ruisheng Shi

    (State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China)

  • Junliang Chen

    (State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China)

Abstract

In order to build a low-latency and light-weight publish/subscribe (pub/sub) system for delay-sensitive IOT services, the authors propose an efficient and scalable broker architecture named Grid Quorum-based pub/sub (GQPS). As a key component in Event-Driven Service-Oriented Architecture (EDSOA) for IOT services, this architecture organizes multiple pub/sub brokers into a Quorum-based peer-to-peer topology for efficient topic searching. It also leverages a topic searching algorithm and a one-hop caching strategy to minimize the search latency. Light-weight RESTful interfaces make the authors’ GQPS more suitable for IOT services. Cost analysis and experimental study demonstrate that the GQPS achieves a significant performance gain in search satisfaction without compromising search cost. The authors apply the proposed GQPS in the District Heating Control and Information Service System in Beijing, China. This system validates the effectiveness of GQPS.

Suggested Citation

  • Yunlei Sun & Xiuquan Qiao & Wei Tan & Bo Cheng & Ruisheng Shi & Junliang Chen, 2013. "A Low-Delay, Light-Weight Publish/Subscribe Architecture for Delay-Sensitive IOT Services," International Journal of Web Services Research (IJWSR), IGI Global, vol. 10(3), pages 60-81, July.
  • Handle: RePEc:igg:jwsr00:v:10:y:2013:i:3:p:60-81
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijwsr.2013070104
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jwsr00:v:10:y:2013:i:3:p:60-81. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.