A Visual Analytics Framework for Distributed Data Analysis Systems
Abdullah-Al-Raihan Nayeem, Mohammed Elshambakey, Todd Dobbs and, Huikyo Lee, Daniel Crichton, Yimin Zhu, Chanachok Chokwitthaya and, William J. Tolone, Isaac Cho

TL;DR
This paper introduces a visual analytics framework that simplifies user interaction with distributed data analysis systems through an interactive interface, enhancing management, analysis, and visualization capabilities.
Contribution
It presents a novel visual analytics framework with integrated user interface and access protocols for distributed data analysis systems, demonstrated through domain-specific use cases.
Findings
Enhanced user interaction with distributed systems
Successful integration with existing analysis systems
Effective visualization of analysis results
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.
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Taxonomy
TopicsData Visualization and Analytics · Scientific Computing and Data Management · Data Stream Mining Techniques
