Enabling on-demand database computing with MIT SuperCloud database management system

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

21 Scopus citations

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.

Original languageEnglish
Title of host publication2015 IEEE High Performance Extreme Computing Conference, HPEC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467392860
DOIs
StatePublished - Nov 9 2015
Externally publishedYes
EventIEEE High Performance Extreme Computing Conference, HPEC 2015 - Waltham, United States
Duration: Sep 15 2015Sep 17 2015

Publication series

Name2015 IEEE High Performance Extreme Computing Conference, HPEC 2015

Conference

ConferenceIEEE High Performance Extreme Computing Conference, HPEC 2015
Country/TerritoryUnited States
CityWaltham
Period09/15/1509/17/15

Keywords

  • Accumulo
  • Big Data
  • D4M
  • Grid Engine
  • Hadoop
  • MIT SuperCloud
  • SciDB

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