Efficient Data Organization and Load Balancing on Parallel Disks
Kuo, Szu-Wen
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/81960
Description
Title
Efficient Data Organization and Load Balancing on Parallel Disks
Author(s)
Kuo, Szu-Wen
Issue Date
1999
Doctoral Committee Chair(s)
Winslett, Marianne
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
Abstract
Our experiments with all proposed approaches on IBM SP2s, using the Panda parallel I/O library as a testbed, show that our strategies significantly reduce the I/O time required for the checkpoint and snapshot operations of large simulations.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
