E. Bouillet, M. Feblowitz, Zhen Liu, A. Ranganathan, A. Riabov, S. Shao, D. Schlosnagle, Fan Ye
{"title":"基于流处理的智能运输系统","authors":"E. Bouillet, M. Feblowitz, Zhen Liu, A. Ranganathan, A. Riabov, S. Shao, D. Schlosnagle, Fan Ye","doi":"10.1109/ITST.2007.4295892","DOIUrl":null,"url":null,"abstract":"In this paper, we present a Fleet Management Center application implemented using a stream processing infrastructure we call System S. System S enables the deployment of large scale applications with mechanisms for sharing multi-party data sources, software components, and even intermediate results. This approach significantly reduces the cost of software integration, and ownership, the major factor in Intelligent Transportation Systems. In addition, the system includes an adaptive data source management that determines the list of relevant data sources based on the current locations of the entities monitored or managed by the applications.","PeriodicalId":106396,"journal":{"name":"2007 7th International Conference on ITS Telecommunications","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Stream Processing Based Intelligent Transport Systems\",\"authors\":\"E. Bouillet, M. Feblowitz, Zhen Liu, A. Ranganathan, A. Riabov, S. Shao, D. Schlosnagle, Fan Ye\",\"doi\":\"10.1109/ITST.2007.4295892\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a Fleet Management Center application implemented using a stream processing infrastructure we call System S. System S enables the deployment of large scale applications with mechanisms for sharing multi-party data sources, software components, and even intermediate results. This approach significantly reduces the cost of software integration, and ownership, the major factor in Intelligent Transportation Systems. In addition, the system includes an adaptive data source management that determines the list of relevant data sources based on the current locations of the entities monitored or managed by the applications.\",\"PeriodicalId\":106396,\"journal\":{\"name\":\"2007 7th International Conference on ITS Telecommunications\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 7th International Conference on ITS Telecommunications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITST.2007.4295892\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 7th International Conference on ITS Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITST.2007.4295892","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stream Processing Based Intelligent Transport Systems
In this paper, we present a Fleet Management Center application implemented using a stream processing infrastructure we call System S. System S enables the deployment of large scale applications with mechanisms for sharing multi-party data sources, software components, and even intermediate results. This approach significantly reduces the cost of software integration, and ownership, the major factor in Intelligent Transportation Systems. In addition, the system includes an adaptive data source management that determines the list of relevant data sources based on the current locations of the entities monitored or managed by the applications.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
