Title :
Job Scheduler Parameter Analysis for Evaluation of Effectiveness
Author_Institution :
RIKEN, Wako
Abstract :
The use of PC cluster systems composed of many PCs is largely spread in these days. It is important to improve system usage keeping proper fair-share policy. This optimization problem is difficult to solve. In scheduler soft-ware, there are many parameters and the effectiveness of many parameters is related with each other complicatedly. Therefore it is more difficult to find optimal parameter con-figuration to improve the system usage efficiency. So in this paper, we performed various analyses of those parameters and report the results.
Keywords :
grid computing; scheduling; workstation clusters; PC cluster systems; fair-share policy; job scheduler parameter analysis; system usage efficiency; Analysis of variance; Computational modeling; Grid computing; Indium tin oxide; Performance analysis; Personal communication networks; Processor scheduling; Resource management; Scheduling algorithm; Supercomputers; ANOVA; NQS; PC clusters parameter. Optimization; correlation; job scheduler; simulator;
Conference_Titel :
Parallel, Distributed and Network-based Processing, 2009 17th Euromicro International Conference on
Conference_Location :
Weimar
Print_ISBN :
978-0-7695-3544-9
DOI :
10.1109/PDP.2009.34