A Self-Adapting Dynamic Service Management Platform for Internet of Things
Lilin Rao (),
Chunxiao Fan (),
Yuexin Wu (),
Xiaoying Zhang () and
Hai Li ()
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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
A chapter in LISS 2013, 2015, pp 783-791 from Springer
Abstract:
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.
Keywords: Internet of things; Web of things; Resources sharing; Restful API (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40660-7_118
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DOI: 10.1007/978-3-642-40660-7_118
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