BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Denver
X-LIC-LOCATION:America/Denver
BEGIN:DAYLIGHT
TZOFFSETFROM:-0700
TZOFFSETTO:-0600
TZNAME:MDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0600
TZOFFSETTO:-0700
TZNAME:MST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260422T000713Z
LOCATION:503-504
DTSTART;TZID=America/Denver:20231112T115800
DTEND;TZID=America/Denver:20231112T121500
UID:submissions.supercomputing.org_SC23_sess422_ws_hpcsysp101@linklings.co
 m
SUMMARY:Report on Adaptable Open-Source Disaster Recovery Solution for Mul
 ti-Petabyte Storage Systems
DESCRIPTION:Honwai Leong (University of Sydney, DataDirect Networks (DDN))
 \n\nThe current generation of Research Data Store (RDS) at The University 
 of Sydney comprises a pair of peta-scale data storage systems. We implemen
 ted a disaster recovery (DR) solution for data protection against catastro
 phic failure at either storage system. To handle large amount of data tran
 sactions into RDS, we took an open-source approach to design an adaptable 
 DR solution that enables parallelized data replication capability between 
 the pair of storage systems. In the last three years of operations, the DR
  solution has gone through a few iterations which saw improvement in effic
 iency. In this paper, we present the findings and outcomes from our DR imp
 lementation.\n\nTag: Artificial Intelligence/Machine Learning, Cloud Compu
 ting, Distributed Computing, Data Analysis, Visualization, and Storage, Da
 ta Movement and Memory, Fault Handling and Tolerance, I/O and File Systems
 , Large Scale Systems, Performance Optimization, Resource Management, Secu
 rity, State of the Practice\n\nRegistration Category: Workshop Reg Pass\n\
 nSession Chairs: Matt Bidwell (National Renewable Energy Laboratory (NREL)
 ) and John Blaas (National Center for Atmospheric Research (NCAR))\n\n
END:VEVENT
END:VCALENDAR