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An Experimental Approach and Monitoring Tools for Evaluating a Dynamic Cubing System

机译:用于评估动态多维数据集系统的实验方法和监视工具

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In this paper, the authors propose an approach and different tools to evaluate the performance and assess the effectiveness of a model in the field of dynamic cubing. Experimental evaluation, on one hand allows observing the behavior and the performance of the solution, while on the other hand it lets one compare the results with those of the other competing solutions. The authors' proposal includes an experimental workflow based on a set of configuration parameters to characterize the inputs (data sets, queries sets and algorithm input parameters) and a set of metrics to analyze and qualify the output (performance and behavior metrics) of the solution. They have identified a number of useful tools necessary to develop an experimental evaluation strategy. These monitoring tools allow elaborating the execution scenarios, collecting output metrics and storing and analyzing them online in real-time as well as later in off-line mode. Using a use-case model, the authors show that the framework and the proposed environment help carrying out a rigorous experimental evaluation of a dynamic cubing solution.
机译:在本文中,作者提出了一种方法和不同的工具来评估模型的性能并评估在动态立方体领域中模型的有效性。实验评估一方面可以观察解决方案的行为和性能,另一方面可以让人们将结果与其他竞争解决方案的结果进行比较。作者的提议包括一个实验工作流,该工作流基于一组用于表征输入(数据集,查询集和算法输入参数)的配置参数和一组用于分析和验证解决方案的输出(性能和行为度量)的度量标准。他们确定了开发实验评估策略所需的许多有用工具。这些监视工具允许详细制定执行方案,收集输出指标并实时在线(以及以后以离线模式)存储和分析它们。作者使用用例模型表明,该框架和所建议的环境有助于对动态多维解决方案进行严格的实验评估。

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