A Standardized Method for Large-scale Distributed Data Acquisition

被引：0

作者：

Peng, Xin-yi ^{[1
]}

Huang, Jing-bin ^{[1
]}

Huang, Zhi-wei ^{[1
]}

机构：

[1] South China Univ Technol, Dept Comp Sci & Engn, Guangzhou, Guangdong, Peoples R China

来源：

2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL VII | 2010年

关键词：

large-scale distributed data acquisition; standardization; uniform data coding; data mapping mechanism; data buffering; Web Service; multi-protocol conversion;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In order to solve the problems in the large-scale distributed data acquisition that the protocol is not uniform, the system scalability is low, the system maintenance is difficult, etc. A standardized method for large-scale distributed data acquisition, called the CMI method, is proposed based on the analysis of these issues. Firstly, a common data encoding scheme is designed, in order to achieve a unified data representation. Then, a data mapping mechanism is designed, based on a unified data encoding and XML technology. Finally, data buffering, Web Service and other technologies are integrated used to set up the data interchange and achieve the multi-protocol conversion. This standardized method is implemented by Java and used in actual engineering projects. It demonstrated that the method can effectively improve system scalability and maintainability.

引用

页码：217 / 222

页数：6

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