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A Query Processing Approach Based on Queuing Model for Cyber-Physical Systems

机译:基于排队模型的网络物理系统查询处理方法

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摘要

Cyber-Physical Systems (CPS) are integrations of computation with physical processes, and applications of CPS will appear in a wide variety of fields. As part of CPS, sensor networks can observe a physical system by acquiring data and processing queries. In this paper, a query processing approach based on a queuing model is proposed for a mass of periodic queries and ad hoc queries, which are both expected to be supported simultaneously for the soft real-time applications in the large-scale sensor networks. A query processing region is provided as a buffer where the nodes are able to map the data of remote nodes and queries, so as to process queries in time. Based on queuing theory, a management model is developed for the queries in the buffer with its optimization scheme designed, thus giving the appropriate width and position of the buffer to design the algorithm of query processing. The experimental results show that this approach is very efficient at decreasing the query misses and saving the energy.
机译:网络物理系统(CPS)是计算与物理过程的集成,CPS的应用将出现在各种各样的领域中。作为CPS的一部分,传感器网络可以通过获取数据和处理查询来观察物理系统。本文针对大量的周期性查询和临时查询,提出了一种基于排队模型的查询处理方法,在大规模传感器网络中,这两种实时查询都希望同时支持。提供查询处理区域作为缓冲区,其中节点能够映射远程节点和查询的数据,以便及时处理查询。基于排队论,设计了一种针对缓冲区中查询的管理模型,并设计了优化方案,从而为缓冲区中的查询提供了合适的宽度和位置,从而设计了查询处理算法。实验结果表明,该方法在减少查询遗漏和节省能源方面非常有效。

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