Toward Probabilistic Data Stream Management Systems

摘要：

The inherent imprecision of data in many applications motivates us not to ignore uncertainty of values and to support it as first-class concept. Data stream and probabilistic data have been recently considered noticeably in isolation. Nevertheless, there are many applications including sensor data management and object monitoring systems which need both of issues in tandem. Therefore, we intend to show how we could extend a traditional Data Stream Management System (DSMS) into a Probabilistic Data Stream Management System (PDSMS) which can understand and deal with uncertainty from input data admission to final query result generation. In this paper, after considering requirements of PDSMSs, we focus on essential aspects of Probabilistic Data Models and finally consider benchmarking PDSMSs as our future trend.

关键词： DSMS PDB PDSMS Uncertain Data Uncertain Stream

作者: Armita Karachi Mohammad G. Dezfuli Mostafa S. Haghjoo

作者单位: Computer Engineering Department, Iran University of Science and Technology, Tehran,Iran Computer Engineering Department, Iran University of Science and Technology, Tehran, Iran

会议类型: 国际会议

会议名称: The 5th International Conference on Cooperation and Promotion of Information Resources in Science and Technology(第五届科技信息资源共享促进国际会议COINFO10)

会议地点: 北京

会议语种:英文

页码: 434-438

在线出版日期: 2010-11-27（万方平台首次上网日期，不代表论文的发表时间）