Process Mining for Cloud-Based Applications: A Systematic Literature Review

Najah Mary El-Gharib, Daniel Amyot
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引用次数: 6

Abstract

Process mining uses event log data to discover processes, hence enabling multiple requirements elicitation activities. As the number of applications deployed on a cloud infrastructure is increasing, it becomes important to understand their processes and the ways these existing systems are actually used. However, the cloud brings new challenges to process mining that deserve special attention. This paper reports on a systematic literature review based on a selection of 27 papers. The aim is to assess the applicability of process mining techniques to cloud-based applications, to document the processes of these existing systems. We observe there is a growing interest in applying process mining to these areas, and we report on algorithms, tools, and validation approaches taken. We also report on many cloud-specific challenges for process mining, which require further attention from the research community.
基于云的应用程序的过程挖掘:系统的文献综述
流程挖掘使用事件日志数据来发现流程,从而支持多个需求提取活动。随着部署在云基础设施上的应用程序数量的增加,了解它们的流程和这些现有系统的实际使用方式变得非常重要。然而,云计算给过程采矿带来了新的挑战,值得特别关注。本文在选取27篇论文的基础上进行了系统的文献综述。目的是评估过程挖掘技术对基于云的应用程序的适用性,以记录这些现有系统的过程。我们观察到,将过程挖掘应用到这些领域的兴趣正在增长,并且我们报告了所采用的算法、工具和验证方法。我们还报告了流程挖掘的许多特定于云的挑战,这些挑战需要研究社区进一步关注。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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