Visualizing Anti-Patterns in Microservices at Runtime: A Systematic Mapping Study
Visualizing Anti-Patterns in Microservices at Runtime: A Systematic Mapping Study
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DOI：
10.1109/access.2023.3236165
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发表时间：
2023
期刊：
影响因子：
3.9
通讯作者：
Garrett Parker;Samuel Kim;A. Maruf;T. Cerný;Karel Frajták;Pavel Tisnovsky;D. Taibi
中科院分区：
文献类型：
--
作者：
Garrett Parker;Samuel Kim;A. Maruf;T. Cerný;Karel Frajták;Pavel Tisnovsky;D. Taibi
在微服务的世界里，公司必须能够创建以最有效的方式运行的系统。为了实现这一点，必须避免反模式，因为它们会损害系统的质量。一些最麻烦的反模式很难检测，因为它们在运行时出现。有效地从系统中删除反模式需要动态分析，因为基于微服务的系统规模很大。虽然反模式的检测是有帮助的，但能够将它们可视化为使用微服务的公司提供了很大的好处。了解整个系统是如何运行的，并认识到反模式的存在，可以帮助改进基于微服务的系统。本文从动态的角度对微服务反模式可视化的研究现状进行了系统的映射研究。数百篇论文进行了审查，共发现31个相关的研究课题。这些论文在分析时显示，在微服务中有一些机制可以在运行时检测反模式，也有一些机制可以可视化基于微服务的系统的架构。这项研究的发现可以帮助识别和删除微服务运行时出现的反模式，以及可视化这些反模式的方法。
In the world of microservices, companies must be able to create systems that operate in the most efficient way. To achieve this, anti-patterns must be avoided because of their detriment to the quality of the system. Some of the most troubling anti-patterns are hard to detect because of their appearance at runtime. Effectively removing anti-patterns from a system requires dynamic analysis because of the large size of microservice-based systems. While the detection of anti-patterns is helpful, being able to visualize them offers a great benefit to companies working with microservices. Seeing how the overall system is flowing and recognizing the existence of anti-patterns can help improve microservice-based systems. In this paper, a systematic mapping study was performed to find the current state of research on visualizing anti-patterns in microservices from the dynamic perspective. Several hundred papers were examined and a total of 31 were found to be relevant to the research topic. The papers, when analyzed, revealed that there are mechanisms to detect anti-patterns at runtime in microservices, and there are also mechanisms for visualizing the architecture of a microservice-based system. This study’s findings could help to identify and remove anti-patterns that occur during runtime in microservices, as well as a means of visualizing these anti-patterns.