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TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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TZOFFSETFROM:-0500
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DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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BEGIN:VEVENT
DTSTAMP:20181221T160727Z
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:Workshop\nHPC Center Planning and Operations, Heterogeneous Sy
 stems, Scientific Computing, State of the Practice, Visualization, Worksho
 p Reg Pass, Datacenter, monitoring\n\nHPCViz:  Monitoring Health Status of
  High Performance Computing Systems\n\nDang, Nguyen, Pham, Ghazanfar, Chen
 \n\nThis paper introduces HPCViz, a visual analytic tool for tracking and 
 monitoring system events through a RESTful interface. The goals of this to
 ol are: 1) to monitor a set of system events from multiple hosts and racks
  in real time statistics, 2) to support system administrators in alarming 
 and detecting unusual signature-based patterns exhibited by health records
  of hosts in a complex system, and 3) to help in performing system debuggi
 ng with a visual layout for both computing resource 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 resu
 lt of the case study shows that the visualization tool offers excellent su
 pport for system analysists to profile and observe system behavior and fur
 ther identify the traces of issues occurred.
URL:https://sc18.supercomputing.org/presentation/?id=ws_daac116&sess=sess1
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