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A Self-Adapting Dynamic Service Management Platform for Internet of Things

In: Liss 2013

Author

Listed:
  • Lilin Rao

    (Beijing University of Posts and Telecommunications)

  • Chunxiao Fan

    (Beijing University of Posts and Telecommunications)

  • Yuexin Wu

    (Beijing University of Posts and Telecommunications)

  • Xiaoying Zhang

    (Beijing University of Posts and Telecommunications)

  • Hai Li

    (Beijing University of Posts and Telecommunications)

Abstract

Nowadays, bus of Internet of Things (IoT) application systems have a poor interaction power with each other, which leads to repeated wastes of investments in sensing devices resources. This paper analyzes the existing problems in IoT application systems. Via comprehensive analysis of the above problems, with Web and REST technology, we propose a framework of a Self-adapting Dynamic Service Management Platform (SDSMP) which aims to realize the resources sharing of the heterogeneous IoT application systems. We define an API information model and a service information model to manage IoT application services, and design a mechanism to dynamically invoke these services. A successful application example is given to prove that it is feasible to build SDSMP and users can retrieve, customize, and reuse IoT application services in SDSMP via Web browsers.

Suggested Citation

  • Lilin Rao & Chunxiao Fan & Yuexin Wu & Xiaoying Zhang & Hai Li, 2015. "A Self-Adapting Dynamic Service Management Platform for Internet of Things," Springer Books, in: Runtong Zhang & Zhenji Zhang & Kecheng Liu & Juliang Zhang (ed.), Liss 2013, pages 783-791, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-40660-7_118
    DOI: 10.1007/978-3-642-40660-7_118
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