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

A. Gradvohl
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引用次数: 3

Abstract

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.
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研究度量来构建复杂事件处理系统的基准工具
尽管公司需要数据流处理系统来处理大量的流动数据,但我们没有找到很多软件来评估这类系统。事实上,到目前为止,很少有论文提出度量来评估这些系统或描述用于基准测试的软件。大多数论文关注的是吞吐量、延迟和内存消耗等指标。但是,系统管理员和用户还应该考虑其他指标,例如信息延迟、结果的正确性、对不同工作负载的适应性等。因此,在本文中,我们总结了一些用于评估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来评估这种类型的系统。在本文的最后,我们为复杂事件处理分布式系统提出了一个新的基准测试工具,称为B2-4CEP,它包含了本文中描述的指标。
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