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Investigating Metrics to Build a Benchmark Tool for Complex Event Processing Systems

机译:调查标准标准为复杂事件处理系统构建基准工具

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Despite companies' demand for data streams processing systems to handle large volumes of flowing data, we did not find many software to assess these sort of systems. In fact, up to date, there are few papers proposing metrics to evaluate these systems or describing software for benchmarks. Most of the papers focus on metrics such as throughput, latency and memory consumption. However, there are other metrics, which system administrators and users should consider, such as information latency, the correctness of results, adaptability on different workloads and others. Therefore, in this paper, we summarized some key metrics used to assess systems for processing online data streams. In addition, we discuss three benchmark tools found in the literature to assess this type of system. At the end of this paper, we propose a new benchmark tool for complex event processing distributed systems called B2-4CEP, which incorporate the metrics described in this paper.
机译:尽管公司对数据流的需求处理系统来处理大量的流动数据,但我们没有找到许多软件来评估这些系统。事实上,迄今为止,少数论文提出了评估这些系统或描述基准的软件。大多数论文都侧重于吞吐量,延迟和内存消耗等度量。但是,还有其他度量标准,系统管理员和用户应考虑,例如信息延迟,结果的正确性,不同工作负载和其他工作量的适应性。因此,在本文中,我们总结了一些用于评估用于处理在线数据流的系统的关键指标。此外,我们讨论了在文献中发现的三个基准工具,以评估这种类型的系统。在本文末尾,我们为复杂事件处理的新基准工具提出了一种名为B2-4CEP的复杂事件处理的基准工具,其中包含本文中描述的度量。

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