Parallel Coordinates Visualization in the ELK Stack

Galkin, T.; Grigorieva, M.

Авторы: Galkin Timofei, Grigorieva Maria
Сборник: CEUR Workshop Proceedings
Серия: GraphiCon 2020 Computer Graphics and Machine Vision
Том: 2744
Год издания: 2020
Место издания: CEUR Workshop Proceedings
Номер статьи: 10
Аннотация: Modern large-scale distributed computing systems, processing largevolumes of data, require mature monitoring systems able to control and track inresources, networks, computing tasks, queues and other components. In recentyears, the ELK stack has become very popular for the monitoring of computingenvironment, largely due to the efficiency and flexibility of the ElasticSearchstorage and wide variety of Kibana visualization tools. The analysis of computing infrastructure metadata often requires the visual exploration of multiple parameters simultaneously on one graphical image. Stacked bar charts, heatmaps,radar charts are widely used for the multivariate visual data analysis, but thesemethods have limitations on the number of parameters. In this research the authors propose to enhance the capacity of Kibana, adding Parallel Coordinatesdiagram - one of the most powerful method for visual interactive analysis ofhigh-dimensional data. It allows to compare many variables together and observe correlations between them. This work describes the development processof Parallel Coordinates as a Kibana plugin, and demonstrates an example ofvisual data analysis based on the Nginx logs metadata
Добавил в систему: Григорьева Мария Александровна

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Parallel Coordinates Visualization in the ELK Stackстатья

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