A Petri net-based Approach to Service Composition and Monitoring in the IOT

被引：14
|
作者：
Yang, Rong [2 ,3 ,4 ]
Li, Bing [1 ]
Cheng, Can [1 ,3 ,4 ]
机构：
[1] Wuhan Univ, Int Sch Software, Wuhan 430072, Hubei, Peoples R China
[2] Hubei Univ Sci & Technol, Coll Comp Sci & Technol, Xianning 437100, Peoples R China
[3] Wuhan Univ, State Key Lab Software Engn, Wuhan 430072, Hubei, Peoples R China
[4] Wuhan Univ, Sch Comp, Wuhan 430072, Hubei, Peoples R China
来源：
2014 ASIA-PACIFIC SERVICES COMPUTING CONFERENCE (APSCC) | 2014年
基金：
中国国家自然科学基金;
关键词：
Internet of Things; Service composition; Service monitoring;
D O I：
10.1109/APSCC.2014.11
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Recently, there are many improvements in Internet of Things (IOT). Through the recombination and optimization, the real-world devices can provide their functionality as web services in IOT. However, it is very difficult to cost-effectively access to the Internet of Things due to the environmental changes. In this paper, firstly, a Petri net-based model for service composition in IOT is proposed, which uses a comprehensive performance function rtc (involving reliability, response time and cost) to evaluate the cost-effectiveness. Then, the FindTOptimal algorithm is addressed to find a cost-effective composition path. Furthermore, when environments change dynamically, the FBasedMonitor algorithm can well solve the composition. Finally, the experiments prove the soundness and correctness of our model and algorithms.
引用
收藏
页码：16 / 22
页数：7
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