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DTSTAMP:20181221T160727Z
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:Workshop\nI/O, Storage, Workshop Reg Pass\n\nUsing a Robust Me
 tadata Management System to Accelerate Scientific Discovery at Extreme Sca
 les\n\nLawson, Lofstead\n\nOur previous work, which can be referred to as 
 EMPRESS 1.0, showed that rich metadata management provides a relatively lo
 w-overhead approach to facilitating insight from scale-up scientific appli
 cations. However, this system did not provide the functionality needed for
  a viable production system or address whether 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\nThr
 ough a discussion of EMPRESS 2.0, this paper explores how to incorporate r
 ich query functionality, fault tolerance, and atomic operations into a sca
 lable, storage system independent metadata management system that is easy 
 to use. This paper demonstrates that such a system offers significant perf
 ormance advantages over HDF5, providing metadata querying that is 150X to 
 650X faster, and can greatly accelerate post-processing. Finally, since th
 e current implementation of EMPRESS 2.0 relies on an RDBMS, this paper dem
 onstrates that an RDBMS is a viable technology for managing data-oriented 
 metadata.
URL:https://sc18.supercomputing.org/presentation/?id=ws_pdsw112&sess=sess1
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