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An Adaptive Query Processing Method according to System Environments in Database Broadcasting Systems

机译:数据库广播系统中根据系统环境的自适应查询处理方法

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In the recent evolution of wireless communication technology, there has been an increasing interest in the database broadcasting system where a server periodically broadcasts contents of a database to mobile clients such as portable computers and PDAs. There are three query processing methods in the database broadcasting system: the on-demand method, the client method, and the collaborative method which we have proposed. The performance of these methods is strongly affected by environmental conditions such as query generation intervals and size of query results. Since the system condition keeps changing, it is difficult to choose the optimal method statically. In this paper, we propose an adaptive query processing method which dynamically chooses a method which gives the best performance at the moment. Our method chooses a method according to query generation intervals in order to reduce the response time and to increase the query success rate. We also show simulation results regarding performance evaluation of our method.
机译:在无线通信技术的最新发展中,人们对数据库广播系统越来越感兴趣,在该系统中,服务器定期向移动客户端(例如,便携式计算机和PDA)广播数据库的内容。数据库广播系统中存在三种查询处理方法:我们提出的按需方法,客户端方法和协作方法。这些方法的性能受环境条件(例如查询生成间隔和查询结果的大小)的强烈影响。由于系统条件不断变化,因此很难静态选择最佳方法。在本文中,我们提出了一种自适应查询处理方法,该方法动态选择了目前性能最佳的方法。我们的方法根据查询生成间隔选择一种方法,以减少响应时间并提高查询成功率。我们还显示了有关我们方法性能评估的仿真结果。

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