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:20230124T171527Z
LOCATION:C148
DTSTART;TZID=America/Chicago:20221114T134000
DTEND;TZID=America/Chicago:20221114T143000
UID:submissions.supercomputing.org_SC22_sess460_misc280@linklings.com
SUMMARY:PDSW22 – Invited Talk:  Splinters – Distributed IO Sampling for Cl
 oud Data Centers – Design and Applications
DESCRIPTION:Workshop\n\nPDSW22 – Invited Talk:  Splinters – Distributed IO
  Sampling for Cloud Data Centers – Design and Applications\n\nMerchant\n\n
 Splinters is a distributed system for sampling IO metadata in Google data 
 centers. It has been deployed in production for several years, and is the 
 main engine for the analysis of storage systems and workloads in Google. G
 iven the scale of the storage infrastructure, reliably collecting and proc
 essing the IO samples is a complex problem, and we explain how we design a
 round the various challenges. We show how the collected IO samples are use
 d for ad-hoc queries and longitudinal analysis. We also outline several ap
 plications where we used the IO samples for the design and implementation 
 of new systems.\n\nSession Format: Recorded\n\nRegistration Category: Work
 shop Reg Pass
END:VEVENT
END:VCALENDAR