Job Scheduler Parameter Analysis for Evaluation of Effectiveness

Author

Ito, Rika

Author_Institution

RIKEN, Wako

fYear

2009

fDate

18-20 Feb. 2009

Firstpage

62

Lastpage

69

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel, Distributed and Network-based Processing, 2009 17th Euromicro International Conference on

Conference_Location

Weimar

ISSN

1066-6192

Print_ISBN

978-0-7695-3544-9

Type

conf

DOI

10.1109/PDP.2009.34

Filename

4912916