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PRODID:Linklings LLC
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TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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BEGIN:VEVENT
DTSTAMP:20211207T055347Z
LOCATION:Online
DTSTART;TZID=America/Chicago:20211119T113000
DTEND;TZID=America/Chicago:20211119T120000
UID:submissions.supercomputing.org_SC21_sess511_ws_hust101@linklings.com
SUMMARY:LogAn: HPC System Log Anomaly Detection Tool
DESCRIPTION:Workshop\n\nLogAn: HPC System Log Anomaly Detection Tool\n\nMo
 ore, Inman, Pelzel, DeJager, Blanchard\n\nWe address the problem of anomal
 y detection on HPC system log lines, and present a new approach and associ
 ated tool implementation for detecting unusual behaviors within syslog. Ou
 r tool, LogAn, provides not only statistical anomaly detection which can d
 iscover previously unknown behaviors, but also the capability for a user t
 o interact and guide the tool towards syslog messages of interest. We prov
 ide a user interface that supports a variety of workflow options, from a h
 igh-level view with a snapshot of number of unusual lines found, to a dril
 led-down view that allows a system administrator to gain more understandin
 g of a flagged line, and to place that line in context. We have find that 
 LogAn is able to detect syslog lines of interest that would not have been 
 caught by existing legacy filters and flags, and provides a crucially-need
 ed, fast, and flexible approach to syslog analysis.\n\nTag: Online Only, P
 roductivity Tools, State of the Practice\n\nRegistration Category: Worksho
 p Reg Pass
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