BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
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
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20181221T160727Z
LOCATION:D170
DTSTART;TZID=America/Chicago:20181112T111000
DTEND;TZID=America/Chicago:20181112T113000
UID:submissions.supercomputing.org_SC18_sess169_ws_daac101@linklings.com
SUMMARY:DiG: Enabling Out-of-Band Scalable High-Resolution Monitoring for 
 Data-Center Analytics, Automation, and Control
DESCRIPTION:Workshop\nData Analytics, HPC Center Planning and Operations, 
 Heterogeneous Systems, Scientific Computing, State of the Practice, Worksh
 op Reg Pass, Datacenter, monitoring\n\nDiG: Enabling Out-of-Band Scalable 
 High-Resolution Monitoring for Data-Center Analytics, Automation, and Cont
 rol\n\nLibri, Bartolini, Benini\n\nData centers are increasing in size and
  complexity, and we need scalable approaches to support their automated an
 alysis and control. Performance, power consumption and reliability are the
 ir key "vital signs". State-of-the-Art monitoring systems provide built-in
  tools to collect performance measurements, and custom solutions to get in
 sight on their power consumption. However, with the increase in measuremen
 t resolution (in time and space) and the ensuing huge amount of measuremen
 t data to handle, new challenges arise, such as bottlenecks on the network
  bandwidth, storage and software overhead on the monitoring units. To face
  these challenges we propose a novel monitoring platform for data centers,
  which enables real-time high-resolution profiling (i.e., all available pe
 rformance counters and the entire signal bandwidth of the power consumptio
 n at the plug - sampling up to 20us) and analytics, both on the edge (node
 -level analysis) and on a centralized unit (cluster-level analysis). The m
 onitoring infrastructure is completely out-of-band, scalable, technology a
 gnostic and low cost.
URL:https://sc18.supercomputing.org/presentation/?id=ws_daac101&sess=sess1
 69
END:VEVENT
END:VCALENDAR