[1]韩泉叶 王晓明 党建武.云计算在轨道交通线网信息分发中的应用[J].计算机技术与发展,2012,(12):203-206.
　HAN Quan-ye,WANG Xiao-ming,DANG Jian-wu.Application of Cloud Computing on Information Dissemination in Urban Rail Transit Line Network[J].,2012,(12):203-206.
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云计算在轨道交通线网信息分发中的应用()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年12期
页码:
203-206
栏目:
应用开发研究
出版日期:
1900-01-01

文章信息/Info

Title:
Application of Cloud Computing on Information Dissemination in Urban Rail Transit Line Network
文章编号:
1673-629X（2012）12-0203-04
作者:
韩泉叶1; 2 王晓明2 党建武2
[1]陕西广播电视大学陕西工商职业学院计算机信息管理系[2]兰州交通大学电子与信息工程学院
Author(s):
HAN Quan-ye ; WANG Xiao-ming ; DANG Jian-wu
[1]Department of Computer Information Management, Shaanxi Commerce and Vocational College, Shaanxi Radio and TV University[2]Electronic and Information Engineering College, Lanzhou Jiaotong University
关键词:
云计算; 城轨线网; 信息分发
Keywords:
cloud computing; urban rail transit line network; information dissemination
分类号:
TP311
文献标志码:
A
摘要:
对城轨线网的数据信息及其特征进行了分析，讨论了推送和拉取的信息分发机制，提出了一种适合于城轨线网的信息分发机制，该机制将推送与拉取相结合，根据当前系统分发信息的特征和及时性要求，通过动态分配可用资源来确定推送和拉取，达到最小化数据块分发延时的目的。实验结果表明，推拉相结合的信息分发机制通过动态调节参数，既可适用于线网中严格一致性需求的信息流，也可适用于线网中非严格一致性需求的信息流，还可适用于线网中根据需要随时获取的信息流
Abstract:
The characteristics of data information in urban rail transit line network are analyzed. The push and pull information dissemina tion mechanism is discussed. In this paper, a kind of information disseminating mechanism is presented, which combines push approach with pull approach and fits for urban rail transit line network, by which the system can dynamically and intelligently allocate the available resource between push clients and pull clients so as to optimize the sending time delay of data chunk given their characters and desired currency. And the experimental results are presented to validate the approach. The major conclusion is that the approach of combination push with pull can fit for both stringent coherency requirements for data item and less stringent coherency requirements for data item on line network, also can fit for acquiring at any time according to requirement on line network, by optimizing the parameter dynamically

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备注/Memo

备注/Memo:
甘肃省自然科学基金（ZS031-A25-019-G）韩泉叶（1974－），女，博士研究生，副教授，CCF会员，主要研究领域为智能信息处理
更新日期/Last Update: 1900-01-01