数据流窗口语义及查询引擎的实现  

Window Semantics of Data Stream and Implementation of Querying Engine

作　　者：杜威[1,2,3] 邹先霞[4,3] 

机构地区：[1]广东警官学院计算机系,广州510232 [2]广州市公共安全重点研究基地,广州510232 [3]武汉大学软件工程国家重点实验室,武汉430072 [4]暨南大学计算机系,广州510632

出　　处：《北京工业大学学报》2014年第7期1114-1120,共7页Journal of Beijing University of Technology

基　　金：国家自然科学基金资助项目(61300227);广东省自然科学基金资助项目(s2012010008831);武汉大学软件工程国家重点实验室开放基金资助项目(SKLSE2012-09-37)

摘　　要：数据流窗口主要采用了基于时间、元组和分组的3种驱动形式,如果仅采用一种驱动形式难以正确表达数据流查询语义,因此,针对数据流查询语义的不完备性,从窗口的查询级、数据级和系统级定义了一个完整的窗口语义框架来解决语义差异,并提出了基于主存数据库的分组窗口驱动的实现,最后通过实验验证了该方法.Windows of data stream had three driven models of time-based, tuple-based and batch-driven, each of which did not express the correct semantic of querying data stream. In order to solve the incompleteness of query semantics in data stream, the authors defined the full window semantic framework from three aspect of query-level, data-level and system-level in order to eliminate the semantic differences, and batch-driven model was implemented based on memory database. Finally the method was verified by experiments.

关 键 词：窗口语义框架 分组驱动 主存数据库 

分 类 号：TP311.131[自动化与计算机技术—计算机软件与理论]