文章基本信息

标题：Optimistic Query Refresh
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作者：Srikanth Pala ; T Sudha Rani
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：4
页码：30-33
语种：English
出版社：Ayushmaan Technologies
摘要：Processing of continuous queries that are getting updated dynamically and satisfying the client’s requirement with the least number of refresh messages has always been a concern. To process such queries, Multi-queries was used to monitor changes in dynamic data from multiple data sources. Clients desire to obtain the aggregated values from multiple data sources. For example find the average temperature of a particular location. We present a scalable technique to answer clients multiple queries using pull based mechanism. Decomposing multi-query to independent subqueries and those sub-queries are executed using parallelism technique. Dynamically allocate sub-query to the data aggregators based on the dimensions of data item in query. We investigated various techniques for efficiently executing multi-query workloads from data and to provide accurate results to the user immediately without time delay. Performance results using real world traces shows that the time delay is reduced when compared to executing sub-queries in constant aggregators.
关键词：Complex-Queries;Dynamic Data Aggregators;Pull Based Mechanism;Parallelism.