DocumentCode
2035652
Title
Impact of Data Placement on Parallel I/O Systems
Author
Sinclair, J.B. ; Tang, J. ; Varman, P.J. ; Iyer, B.R.
Author_Institution
Rice University, USA
Volume
3
fYear
1993
fDate
16-20 Aug. 1993
Firstpage
276
Lastpage
279
Abstract
The I/O performance of several concurrent external merge jobs sharing a parallel I/O system is studied. The placement of the runs is found to have a significant impact on performance. Placements leading to serialization among jobs were identified and analyzed, and solutions discussed. Contrary to the behavior of a single merge, increasing the buffer size in this situation may actually degrade performance.
Keywords
Database systems; Decision support systems; Degradation; Delay; Merging; Packaging; Parallel processing; Prefetching; Sorting;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel Processing, 1993. ICPP 1993. International Conference on
Conference_Location
Syracuse, NY, USA
ISSN
0190-3918
Print_ISBN
0-8493-8983-6
Type
conf
DOI
10.1109/ICPP.1993.100
Filename
4134283
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