A Visual Analytics Framework for Distributed Data Analysis Systems
Distributed, Parallel, and Cluster Computing
2021-11-12 v1 Human-Computer Interaction
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.
Keywords
Cite
@article{arxiv.2111.05979,
title = {A Visual Analytics Framework for Distributed Data Analysis Systems},
author = {Abdullah-Al-Raihan Nayeem and Mohammed Elshambakey and Todd Dobbs and Huikyo Lee and Daniel Crichton and Yimin Zhu and Chanachok Chokwitthaya and William J. Tolone and Isaac Cho},
journal= {arXiv preprint arXiv:2111.05979},
year = {2021}
}