A Visual Analytics Framework for Distributed Data Analysis Systems
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 d...
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creator | Nayeem, Abdullah-Al-Raihan Elshambakey, Mohammed Dobbs, Todd Lee, Huikyo Crichton, Daniel Zhu, Yimin Chokwitthaya, Chanachok Tolone, William J Cho, Isaac |
description | 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. |
doi_str_mv | 10.48550/arxiv.2111.05979 |
format | Article |
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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.</description><identifier>DOI: 10.48550/arxiv.2111.05979</identifier><language>eng</language><subject>Computer Science - Distributed, Parallel, and Cluster Computing ; Computer Science - Human-Computer Interaction</subject><creationdate>2021-11</creationdate><rights>http://creativecommons.org/licenses/by/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2111.05979$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2111.05979$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Nayeem, Abdullah-Al-Raihan</creatorcontrib><creatorcontrib>Elshambakey, Mohammed</creatorcontrib><creatorcontrib>Dobbs, Todd</creatorcontrib><creatorcontrib>Lee, Huikyo</creatorcontrib><creatorcontrib>Crichton, Daniel</creatorcontrib><creatorcontrib>Zhu, Yimin</creatorcontrib><creatorcontrib>Chokwitthaya, Chanachok</creatorcontrib><creatorcontrib>Tolone, William J</creatorcontrib><creatorcontrib>Cho, Isaac</creatorcontrib><title>A Visual Analytics Framework for Distributed Data Analysis Systems</title><description>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
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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.</abstract><doi>10.48550/arxiv.2111.05979</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Distributed, Parallel, and Cluster Computing Computer Science - Human-Computer Interaction |
title | A Visual Analytics Framework for Distributed Data Analysis Systems |
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