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Using cooperative sharing approach to improve the efficiency of range queries

机译:使用协作共享方法提高范围查询的效率

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When numerous mobile hosts (MHs) issue queries to base stations (BSs) at the same time, the BSs must consume numerous resources to calculate those queries and that will abate the performances of the BSs. If these query results can be reused, the BSs will avoid calculating these queries repeatedly. In this paper, we propose a reforming query process to improve the service performances of the BSs. MHs can avoid issuing new queries or can narrow the query range by utilizing the results of nearby MHs. Consequently, BSs can reduce the loads for calculating these queries and that will improve the service performance. We also define four approaches to select MHs to download results. They are first come first download (FCFD), largest range first download (LRFD), smallest range first download (SRFD), and largest non-overlap download (LNOD). The experiment results show that we should use different approaches or a hybrid approach in different environments to get a balanced status between the performance of BSs and the loads of MHs.
机译:当众多移动主机(MHS)同时向基站(BSS)发出查询时,BS必须消耗许多资源来计算这些查询,并将减少BSS的性能。如果可以重复使用这些查询结果,BSS将避免重复计算这些查询。在本文中,我们提出了改革查询过程以改善BSS的服务性能。 MHS可以避免通过利用附近MHS的结果来发出新查询或缩小查询范围。因此,BSS可以减少用于计算这些查询的负载,并且将提高服务性能。我们还定义了四种方法来选择MHS以下载结果。他们首先第一次下载(FCFD),最大的范围首次下载(LRFD),最小的范围首次下载(SRFD),以及最大的非重叠下载(LNOD)。实验结果表明,我们应该在不同环境中使用不同的方法或混合方法,以获得BSS和MHS负载之间的平衡状态。

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