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DTSTART;TZID=America/Denver:20231112T165200
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UID:submissions.supercomputing.org_SC23_sess435_ws_pdsw103@linklings.com
SUMMARY:PoliMOR: A Policy Engine "Made-to-Order" for Automated and Scalabl
 e Data Management in Lustre
DESCRIPTION:Anjus George, Christopher Brumgard, Rick Mohr, Ketan Maheshwar
 i, James Simmons, Sarp Oral, and Jesse Hanley (Oak Ridge National Laborato
 ry (ORNL))\n\nModern supercomputing systems are increasingly reliant on hi
 erarchical, multi-tiered file and storage system architectures due to cost
 -performance-capacity trade-offs. Within such multi-tiered systems, data m
 anagement services are required to maintain healthy utilization, performan
 ce, and capacity levels. We present PoliMOR, a pragmatic and reliable poli
 cy-driven data management framework. PoliMOR is composed of modular, singl
 e-purpose agents that gather file system metadata and enforce policies on 
 storage systems. PoliMOR facilitates automated and scalable data managemen
 t with customizable agents tailored to HPC facility-specific storage syste
 ms and policies. Our evaluations demonstrate the scalability and performan
 ce of PoliMOR both by its individual agents and as a collective entity. We
  believe PoliMOR is widely applicable across HPC facilities with large-sca
 le data management challenges and will garner interest from the HPC commun
 ity, given its flexible and open-source nature.\n\nTag: Data Analysis, Vis
 ualization, and Storage, Data Movement and Memory\n\nRegistration Category
 : Workshop Reg Pass\n\nSession Chairs: Suren Byna (The Ohio State Universi
 ty, Lawrence Berkeley National Laboratory (LBNL)); Jay Lofstead (Sandia Na
 tional Laboratories, University of New Mexico); Bing Xie (Microsoft Corpor
 ation); and Amelie Chi Zhou (Hong Kong Baptist University)\n\n
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