A Data Stream Monitoring Method Based on Pipeline Mode

Abstract

Abstract:

Abstract: In enterprise production and operation activities, it’s helpful to find out relevance between the businesses with the realtime monitor of data stream which generated by all kinds of information system. Also it is powerful for the enterprise business process optimization and management aid decision based on the realtime monitor. A monitoring and analysis method of data stream is described in the paper based on implicit association of business data and linkage of data stream, the concept and method of construction of pipeline and data stream are explained. The application demonstrates that the method is feasible.

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Key words:

Key words: pipeline, data stream, linkage, data monitor, curved surface monitor

CLC Number:

TP311

MA Bin1, MA Tianfu1, ZHANG Chao2, ZHANG Yi2. A Data Stream Monitoring Method Based on Pipeline Mode[J]. Computer and Modernization, 2014, 0(4): 187-190.

References

［1］

方旭华，颜慧佳. 基于工作流的办公自动化系统的设计方案［J］. 计算机时代， 2010(10):6263.

［2］陈姣娟，曹健. 服务流程中的数据流处理［J］. 计算机科学， 2013,40(1):1418.

［3］卢辉. 数据挖掘与数据化运营实践：思路，方法，技巧与应用［M］. 北京：机械工业出版社， 2013:105123.

［4］吴跃，李树全，尚明生，等. 数据结构与算法［M］. 北京:机械工业出版社， 2010:179206.

［5］蒋静，徐志伟. 操作系统原理,技术与编程［M］. 北京：机械工业出版社， 2004:181213.

［6］常倬林，等. Java Web从入门到精通［M］. 北京：机械工业出版社， 2011:461504.

［7］张友生，王勇. 系统分析师教程［M］. 北京：清华大学出版社， 2010:2350.

［8］董荣胜，古天龙. 计算机科学与技术方法论［M］. 北京：人民邮电出版社， 2002:132147.

［9］龙腾芳. 数据挖掘技术在农业领域中的应用研究［J］. 微计算机信息， 2005,21(23)：4243.

［10］周国烛，杨洪雪. Java Web项目开发教程［M］. 北京：机械工业出版社， 2012:143150.

［11］刘磊. 程序分析方法［M］. 北京：机械工业出版社， 2013:4372.

［12］孙卫琴. Java面向对象编程［M］. 北京：电子工业出版社， 2009:312365.

［13］刘军，戴金山. 基于Spring MVC与iBATIS的轻量级Web应用研究［J］. 计算机应用, 2006，26(4):840843.

［14］符培炯，杜忠军. Spring在实现MVC构架中的应用［J］. 计算机技术与发展, 2006,16(6):236238.

［15］刘星沙，罗昔军. 基于MVC模式的Struts和Spring整合框架的研究与应用［J］. 湘潭大学自然科学学报， 2007,29(1):9295.

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