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DTSTAMP:20230124T171526Z
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DTSTART;TZID=America/Chicago:20221117T083000
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UID:submissions.supercomputing.org_SC22_sess275_rpost159@linklings.com
SUMMARY:Interactive Visual Analysis Tool for Anomaly Provenance Data
DESCRIPTION:Posters, Research Posters\n\nInteractive Visual Analysis Tool 
 for Anomaly Provenance Data\n\nGuite, Islam, Kelly, Xu\n\nChimbuko is a fr
 amework for detecting real-time performance anomalies incurred by large-sc
 ale applications. Understanding the source of anomalous behaviors is diffi
 cult due to the high volume of information stored by Chimbuko in a provena
 nce database. This undergraduate research project aims to intuitively disp
 lay this high volume of information without overwhelming users. We then in
 tegrate our analysis and visualization techniques into a publicly availabl
 e framework called Dashing. This project facilitates interactive user inve
 stigation of anomaly provenance in large-scale applications.\n\nRegistrati
 on Category: Tech Program Reg Pass, Exhibits Reg Pass
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