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Data Management Practices on Large-Scale Lustre Scratch File Systems

Published: 13 July 2014 Publication History

Abstract

Managing large-scale Lustre scratch file systems is a necessity on shared storage resources. The lack of proper data management can halt all computation that is contingent upon any type of output to disk. Lustre scratch areas are typically provided for users to utilize as high-performance temporary space to stage job input data and store job output data. Common techniques for managing the amount of stored temporary data involve the use of file system quotas or the enforcement of a purge policy that limits how long files can reside in the scratch space. This paper reviews the challenges of balancing usability from the end user's perspective and the administration of these scratch areas, along with the use of tools to decrease the overall amount of time required for file purges on large-scale Lustre systems.

References

[1]
Lustre. http://lustre.org
[2]
Lustre Operations Manual. http://wiki.lustre.org/manual/LustreManual18_HTML/index.html
[3]
National Institute for Computational Sciences. http://www.nics.utk.edu
[4]
Nagios. http://www.nagios.org
[5]
N.P. Cardo and C. Whitney. Reaping the benefits of metadata. In Lustre User Group, 2010
[6]
R. Miller, J. Hill, D. Dillow, R. Gunasekaran, G. Shipman and D. Maxwell. Monitoring Tools for Large Scale Systems. In Cray User Group, 2010
[7]
J. Hill. Administering Lustre at Scale. In Lustre User Group

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  1. Data Management Practices on Large-Scale Lustre Scratch File Systems

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      cover image ACM Other conferences
      XSEDE '14: Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment
      July 2014
      445 pages
      ISBN:9781450328937
      DOI:10.1145/2616498
      • General Chair:
      • Scott Lathrop,
      • Program Chair:
      • Jay Alameda
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

      In-Cooperation

      • NSF: National Science Foundation
      • Drexel University
      • Indiana University: Indiana University

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 13 July 2014

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      Author Tags

      1. data management
      2. genhit
      3. lustre
      4. ne2scan
      5. purge
      6. scratch

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      • Research-article
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      • Refereed limited

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      XSEDE '14

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      XSEDE '14 Paper Acceptance Rate 80 of 120 submissions, 67%;
      Overall Acceptance Rate 129 of 190 submissions, 68%

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