DocumentCode :
3687134
Title :
Enabling on-demand database computing with MIT SuperCloud database management system
Author :
Andrew Prout;Jeremy Kepner;Peter Michaleas;William Arcand;David Bestor;Bill Bergeron;Chansup Byun;Lauren Edwards;Vijay Gadepally;Matthew Hubbell;Julie Mullen;Antonio Rosa;Charles Yee;Albert Reuther
Author_Institution :
MIT Lincoln Laboratory, Lexington, U.S.A.
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
The MIT SuperCloud database management system allows for rapid creation and flexible execution of a variety of the latest scientific databases, including Apache Accumulo and SciDB. It is designed to permit these databases to run on a High Performance Computing Cluster (HPCC) platform as seamlessly as any other HPCC job. It ensures the seamless migration of the databases to the resources assigned by the HPCC scheduler and centralized storage of the database files when not running. It also permits snapshotting of databases to allow researchers to experiment and push the limits of the technology without concerns for data or productivity loss if the database becomes unstable.
Keywords :
"Engines","Security","Database systems","Arrays","Hardware","File systems"
Publisher :
ieee
Conference_Titel :
High Performance Extreme Computing Conference (HPEC), 2015 IEEE
Type :
conf
DOI :
10.1109/HPEC.2015.7322482
Filename :
7322482
Link To Document :
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