A Visual Analytics Framework for Distributed Data Analysis Systems
Document Type
Conference Proceeding
Publication Date
1-1-2021
Abstract
This paper proposes a visual analytics framework that addresses the complex user interactions required through a command-line interface to run analyses in distributed data analysis systems. The visual analytics framework facilitates the user to manage access to the distributed servers, incorporate data from the source, run data-driven analysis, monitor the progress, and explore the result using interactive visualizations. We provide a user interface embedded with generalized functionalities and access protocols and integrate it with a distributed analysis system. To demonstrate our proof of concept, we present two use cases from the earth science and Sustainable Human Building Ecosystem research domain.
Publication Source (Journal or Book title)
Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021
First Page
229
Last Page
240
Recommended Citation
Nayeem, A., Elshambakey, M., Dobbs, T., Lee, H., Crichton, D., Zhu, Y., Chokwitthaya, C., Tolone, W., & Cho, I. (2021). A Visual Analytics Framework for Distributed Data Analysis Systems. Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021, 229-240. https://doi.org/10.1109/BigData52589.2021.9671768