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A parallel information retrieval method for e-commerce

机译:电子商务的并行信息检索方法

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An online transaction always retrieves a large amount of information before making decisions. Currently, the parallel methods for retrieving such information can only provide a similar performance to serial methods. In this paper we first perform an analysis to determine the factors that affect the performance of existing methods, i.e., HQR and EHQR, and show that the several of these factors are not considered by these methods. Motivated by this, we propose a new dispatch scheme called AEHQR, which takes into account the features of parallel dispatching. In addition, we provide cost models that determine the optimal performance achievable by any parallel dispatching method. Using experimental comparison, we illustrate that the AEHQR is significantly outperforms the HQR and EHQR under all conditions.
机译:在线交易在做出决定之前总是会检索大量信息。当前,用于检索此类信息的并行方法只能提供与串行方法相似的性能。在本文中,我们首先进行分析以确定影响现有方法性能的因素,即HQR和EHQR,并表明这些方法未考虑其中的几个因素。为此,我们提出了一种新的调度方案AEHQR,该方案考虑了并行调度的功能。此外,我们提供了成本模型,该模型确定了任何并行调度方法均可实现的最佳性能。通过实验比较,我们说明AEHQR在所有条件下均明显优于HQR和EHQR。

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