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基于消息转发模式的农业物联网应用层云计算集成研究
王圣伟1,2, 刘刚1, 冯娟1, 张天蛟1
0
(1.中国农业大学现代精细农业系统集成研究教育部重点实验室, 北京 100083;2.西北师范大学计算机科学与工程学院, 兰州 730070)
摘要:
针对农业物联网应用层通信间孤岛效应的问题,采用工作流引擎和消息转发模式方法对农业物联网集成通信平台集成进行研究。在分析物联网平台和云计算程序设计的基础上,提出基于消息中间件的工作流引擎模型应用于农业物联网的集成通信平台。试验结果表明:通过扩充POP3、SMTP、XMPP等通信协议,将多种通信协议进行转换实现端到端的互联互通,解决了在一定时间域内不同地点、不同设备在不同协议状态下与物联网信息平台间云计算的应用层通信。同时对云计算并行模式的2种消息并行程序设计方法进行了对比,在数据量达到104帧的请求压力测试下,主从模式优于对等模式。
关键词:  物联网  消息中间件  集成通信  云计算
DOI:10.11841/j.issn.1007-4333.2013.04.31
投稿时间:2012-11-24
基金项目:国家高技术研究发展计划项目(2011AA100704)
Research on integration of agricultural IoT in application layer cloud computing base on message-forwarding pattern
WANG Sheng-wei1,2, LIU Gang1, FENG Juan1, ZHANG Tian-jiao1
(1.Key Laboratory for Modern Precision Agriculture System Integration Research of Ministry of Education, China Agricultural University, Beijing 100083, China;2.College of Computer Science & Engineering, Northwest Normal University, Lanzhou 730070, China)
Abstract:
With the question of information isolated islands relates to Internet of Things (IoT) of Agriculture in application layer,the research was developed through the analysis and research of IoT platform with workflow engine and message-forwarding pattern.And workflow engine and message-forwarding pattern was proposed by analyzing IoT platform and cloud computing programming,and it can be applied to integrated communications platform for IoT of agriculture.This paper found that model of combining with the workflow engine and Message-Oriented Middleware by expanding the POP3/SMTP/XMPP et al.protocols could been translating various communication protocols to reach end-to-end interconnection and to solve communication modes of different equipments in different protocols in different locations within a time domain.Parallel programming methods were compared under the tests of 10 thousands data requests for two cloud computing patterns.It showed that the master-slave mode is better than the peer model.
Key words:  Internet of Things  message-oriented middleware  integrated communications  cloud computing