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DTSTART:19700308T020000
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DTSTAMP:20181221T160728Z
LOCATION:D170
DTSTART;TZID=America/Chicago:20181112T144000
DTEND;TZID=America/Chicago:20181112T150000
UID:submissions.supercomputing.org_SC18_sess169_ws_daac103@linklings.com
SUMMARY:Simulating Data Centers with Redfish-Enabled Equipment
DESCRIPTION:Workshop\nHPC Center Planning and Operations, Heterogeneous Sy
 stems, Scientific Computing, State of the Practice, Workshop Reg Pass, Dat
 acenter\n\nSimulating Data Centers with Redfish-Enabled Equipment\n\nNosra
 ti, Sill, Chen\n\nAnalytic data, such as temperature and power consumption
  of equipment, are becoming growingly critical in high-end enterprise and 
 also in high-performance computing platforms, especially for current petas
 cale and future exascale systems on the horizon, consisting of tens of tho
 usands or even hundreds of thousands of servers. Also, these data are impo
 rtant for accurate and real-time system monitoring.  Examining new ideas f
 or data gathering, data analysis and systems management by running differe
 nt tests against production data center could negatively affect the produc
 tion environment and also could have unintentional consequences. For these
  reasons, a simulated data center can enable researchers, developers, and 
 administrators to perform thorough tests before carrying out on a real dat
 a center or even to eliminate the need for physical examination. This rese
 arch aims to discuss a new methodology and a framework we have developed v
 ia using container technology to simulate a scalable data center with Redf
 ish-enabled equipment to achieve the objectives.
URL:https://sc18.supercomputing.org/presentation/?id=ws_daac103&sess=sess1
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