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DTSTAMP:20230124T171526Z
LOCATION:C146
DTSTART;TZID=America/Chicago:20221118T102500
DTEND;TZID=America/Chicago:20221118T105500
UID:submissions.supercomputing.org_SC22_sess446_ws_ipdrm104@linklings.com
SUMMARY:LEC-PR:Proactive Recovery Method in Erasure-Coded Storage
DESCRIPTION:Workshop\n\nLEC-PR:Proactive Recovery Method in Erasure-Coded 
 Storage\n\nSong, Yang, Wang\n\nIn order to improve the reliability of the 
 storage system and reduce the data redundancy, erasure-coded storage is wi
 dely used. The traditional approach to fault recovery research relies most
 ly on passive recovery, which occurs when data loss is detected. But passi
 ve recovery reduces the system's reliability. At present, machine learning
  methods can accurately predict soon-to-fail (STF) disks. Based on success
 fully predicted disk failures, we propose a method to proactively recover 
 data in disks by using local erasure coding within nodes, called LEC-PR (L
 ocal EC Proactive Recovery). By migrating and recovering the data in advan
 ce, the reliability of the data can be improved. LEC-PR reduces cross-node
  recovery times and cross-node traffic during proactive data recovery by p
 artially redundancy of the node's internal data blocks on other nodes. As 
 compared to the existing method, LEC-PR can reduce cross-node traffic by 3
 5% and shorten recovery time by up to 69%.\n\nSession Format: Recorded\n\n
 Registration Category: Workshop Reg Pass
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