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

机译:调查指标以建立用于复杂事件处理系统的基准工具

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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:尽管公司需要数据流处理系统来处理大量流数据,但我们发现并没有很多软件可以评估这类系统。实际上,到目前为止,很少有论文提出用于评估这些系统的指标或描述基准的软件。大多数论文集中在诸如吞吐量,延迟和内存消耗之类的指标上。但是,还有其他指标,系统管理员和用户应考虑这些指标,例如信息延迟,结果的正确性,对不同工作负载的适应性以及其他。因此,在本文中,我们总结了一些关键指标,这些指标用于评估用于处理在线数据流的系统。另外,我们讨论了文献中发现的三种基准工具,以评估这种类型的系统。在本文的最后,我们提出了一种用于复杂事件处理分布式系统的新基准测试工具,称为B2-4CEP,该工具结合了本文所述的指标。

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