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基于聚集块的多用户连续K最近邻多线程查询
Multi-threading processing of concurrent multiple continuous KNN queries based on cluster block
【摘要】 当对城市道路网络中的对象进行查询时,已研究出连续的K近邻查询技术,但在一般情况下服务器会同时收到多个查询请求,为了提高查询效率,降低多查询代价,提出一种聚集块的共享查询算法并建立多用户连续查询处理框架,采用流水线处理策略,将查询分为查询预处理、查询执行及查询结果分发3个执行阶段,利用扩展树存储查询结果。实验结果表明,在目标点分布比较密集的情况下,本算法明显优于其它算法。
【Abstract】 While search objects in a road network,we have research a continuous KNN neighbor search,but severs often receive a lot of query requests.For raise the efficiency of query and reduce the price of query.The clustering algorithm is proposed.Pipeline strategy and departed the continuous query processing into three simultaneous stages:query processing,query executing and query results dispatching.Experimental analysis proves the algorithm is better than others.
【关键词】 K最近临查询;
聚类块;
多线程;
扩展树;
多查询;
【Key words】 KNN query; cluster block; multi-thread; tpr-tree; multi queries processing;
【Key words】 KNN query; cluster block; multi-thread; tpr-tree; multi queries processing;
- 【文献出处】 齐齐哈尔大学学报(自然科学版) ,Journal of Qiqihar University(Natural Science Edition) , 编辑部邮箱 ,2010年06期
- 【分类号】TP311.13
- 【被引频次】2
- 【下载频次】31