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DTSTART:19700308T020000
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DTSTAMP:20260522T150118Z
LOCATION:D170
DTSTART;TZID=America/Chicago:20181112T103000
DTEND;TZID=America/Chicago:20181112T105000
UID:submissions.supercomputing.org_SC18_sess169_ws_daac116@linklings.com
SUMMARY:HPCViz:  Monitoring Health Status of High Performance Computing Sy
 stems
DESCRIPTION:Tommy Dang, Vinh T. Nguyen, Vung Pham, Ali Ghazanfar, and Yong
  Chen (Texas Tech University)\n\nThis paper introduces HPCViz, a visual an
 alytic tool for tracking and monitoring system events through a RESTful in
 terface. The goals of this tool are: 1) to monitor a set of system events 
 from multiple hosts and racks in real time statistics, 2) to support syste
 m administrators in alarming and detecting unusual signature-based pattern
 s exhibited by health records of hosts in a complex system, and 3) to help
  in performing system debugging with a visual layout for both computing re
 source allocations and health monitoring map that mimics the actual system
 . A case study was conducted in a Redfish environment with a sample of 10 
 racks and 467 hosts. The result of the case study shows that the visualiza
 tion tool offers excellent support for system analysists to profile and ob
 serve system behavior and further identify the traces of issues occurred.\
 n\nTag: Build Systems, Clouds and Distributed Computing, Data Analytics, D
 eep Learning, Education, HPC Center Planning and Operations, Heterogeneous
  Systems, Resource Management, Scheduling, Scientific Computing, State of 
 the Practice, Visualization, HPC, Containers, Datacenter, Industry, monito
 ring\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: Yong C
 hen (Texas Tech University), Tim Cockerill (Texas Advanced Computing Cente
 r (TACC)), Dong Dai (University of Delaware), and Alan Sill (Texas Tech Un
 iversity)\n\n
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