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Operator scheduling strategy for LBS based intelligent transportation system
引用本文:WU Jing-jing,XIA Ying,GE Jun-wei,Dong-wook Lee,Hae-young Bae. Operator scheduling strategy for LBS based intelligent transportation system[J]. 重庆邮电大学学报(自然科学版), 2007, 19(3): 347-351
作者姓名:WU Jing-jing  XIA Ying  GE Jun-wei  Dong-wook Lee  Hae-young Bae
作者单位:[1]Sino-Korea Chongqing GIS Research Center, College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R China [2]Dept. of Computer Science & Engineering, Inha University, Incheon 402-751, Korea
基金项目:This work is supported by the MIC (Ministry of Information and Communication), Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITA (Institute of Information Technology Assessment).
摘    要:With the development of location technologies, advanced LBSbased ITS increasingly requires the capability of database technologies to manage the continuously arrived vehicles' location, traffic jam and other interrelated information of large amounts of traffic in the following years. And some burst arrival stream data will challenge the realtime performance and the allocation of limited resource. However, choosing a desirable database operator scheduling strategy can significantly improve the performance of the system. The path capability strategy was chosen and improved as ITS' operator scheduling strategy to meet the realtime response and the minimal memory requirement of the system. 

关 键 词:LBS;ITS; stream; operator scheduling strategy
文章编号:1673-825X(2007)03-0347-05
收稿时间:2007-02-10
修稿时间:2007-02-10

Operator scheduling strategy for LBS-based intelligent transportation system
WU Jing-jing,XIA Ying,GE Jun-wei,Dong-wook Lee,Hae-young Bae. Operator scheduling strategy for LBS-based intelligent transportation system[J]. Journal of Chongqing University of Posts and Telecommunications, 2007, 19(3): 347-351
Authors:WU Jing-jing  XIA Ying  GE Jun-wei  Dong-wook Lee  Hae-young Bae
Abstract:With the development of location technologies, advanced LBS-based ITS increasingly requires the capability of database technologies to manage the continuously arrived vehicles' location, traffic jam and other interrelated information of large amounts of traffic in the following years. And some burst arrival stream data will challenge the real-time performance and the allocation of limited resource. However, choosing a desirable database operator scheduling strategy can significantly improve the performance of the system. The path capability strategy was chosen and improved as ITS' operator scheduling strategy to meet the real-time response and the minimal memory requirement of the system.
Keywords:LBS  ITS  stream  operator scheduling strategy
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