Probability modeling and functional validation of dynamic service composition for location based services with uncertain factors

Weimin Li, Zhengbo Ye, Xiaohua Zhao, Jiulei Jiang, Qun Jin*

*この研究の対応する著者

研究成果: Article査読

1 被引用数 (Scopus)

抄録

In the Internet of Things (IoT) environment, real-time servers run with many uncertain factors. The modeling and validation for the dynamic service composition of location based services (LBS) in the IoT environment are essential, but it is difficult to consider these uncertain factors. In this paper, after analyzing the advantage and shortage of traditional modeling methods, with the introduction of probability, we propose a Color Probability-TCPN (CP-TCPN) by using the tokens with specific colors. The analysis and functional validation methods based on CP-TCPN are proposed and described. After using it to model and analyze the LBS based in the IoT environment, we demonstrate the result which indicates the CP-TCPN based approach can satisfy the modeling and analysis of the IoT based real-time system with uncertain factors.

本文言語English
ページ(範囲)635-643
ページ数9
ジャーナルJournal of Internet Technology
15
4
DOI
出版ステータスPublished - 2014

ASJC Scopus subject areas

  • ソフトウェア
  • コンピュータ ネットワークおよび通信

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