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CANVAS: A Cloud-based Research Data Analytics Environment and System

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2021, 26(10), pp.117-124
  • DOI : 10.9708/jksci.2021.26.10.117
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : September 30, 2021
  • Accepted : October 22, 2021
  • Published : October 29, 2021

Kim, Seongchan 1 Sa-kwang Song 1

1한국과학기술정보연구원

Accredited

ABSTRACT

In this paper, we propose CANVAS (Creative ANalytics enVironment And System), an analytics system of the National Research Data Platform (DataON). CANVAS is a personalized analytics cloud service for researchers who need computing resources and tools for research data analysis. CANVAS is designed in consideration of scalability based on micro-services architecture and was built on top of open-source software such as eGovernment Standard framework (Spring framework), Kubernetes, and JupyterLab. The built system provides personalized analytics environments to multiple users, enabling high-speed and large-capacity analysis by utilizing high-performance cloud infrastructure (CPU/GPU). More specifically, modeling and processing data is possible in JupyterLab or GUI workflow environment. Since CANVAS shares data with DataON, the research data registered by users or downloaded data can be directly processed in the CANVAS. As a result, CANVAS enhances the convenience of data analysis for users in DataON and contributes to the sharing and utilization of research data.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.