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
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;
Conference_Titel :
Parallel Processing, 1993. ICPP 1993. International Conference on
Conference_Location :
Syracuse, NY, USA
Print_ISBN :
0-8493-8983-6
DOI :
10.1109/ICPP.1993.100
