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DTSTAMP:20260522T150120Z
LOCATION:D163
DTSTART;TZID=America/Chicago:20181112T105500
DTEND;TZID=America/Chicago:20181112T112000
UID:submissions.supercomputing.org_SC18_sess142_ws_pdsw112@linklings.com
SUMMARY:Using a Robust Metadata Management System to Accelerate Scientific
  Discovery at Extreme Scales
DESCRIPTION:Margaret Lawson (Sandia National Laboratories, University of I
 llinois) and Jay Lofstead (Sandia National Laboratories)\n\nOur previous w
 ork, which can be referred to as EMPRESS 1.0, showed that rich metadata ma
 nagement provides a relatively low-overhead approach to facilitating insig
 ht from scale-up scientific applications. However, this system did not pro
 vide the functionality needed for a viable production system or address wh
 ether such a system could scale. Therefore, we have extended our previous 
 work to create EMPRESS 2.0, which incorporates the features required for a
  useful production system.\n\nThrough a discussion of EMPRESS 2.0, this pa
 per explores how to incorporate rich query functionality, fault tolerance,
  and atomic operations into a scalable, storage system independent metadat
 a management system that is easy to use. This paper demonstrates that such
  a system offers significant performance advantages over HDF5, providing m
 etadata querying that is 150X to 650X faster, and can greatly accelerate p
 ost-processing. Finally, since the current implementation of EMPRESS 2.0 r
 elies on an RDBMS, this paper demonstrates that an RDBMS is a viable techn
 ology for managing data-oriented metadata.\n\nTag: I/O, Storage\n\nRegistr
 ation Category: Workshop Reg Pass\n\n
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