DocumentCode :
2052411
Title :
Improving cluster utilization through intelligent processor sharing
Author :
Stiehr, Gary ; Chamberlain, Roger D.
Author_Institution :
Dept. of Comput. Sci. & Eng., Washington Univ., St. Louis, WA
fYear :
2006
fDate :
25-29 April 2006
Abstract :
A dedicated cluster is often not fully utilized even when all of its processors are allocated to jobs. This occurs any time that a running job does not use 100% of each of the processors allocated to it. We increase the throughput and efficiency of the cluster by scheduling background jobs to run concurrently with the "primary" jobs originally scheduled on the cluster. We do this while maintaining the quality of service provided to the primary jobs. Our results come from empirical measurements using production applications
Keywords :
processor scheduling; workstation clusters; cluster utilization; intelligent processor sharing; processor job allocation; processor scheduling; service quality; Bandwidth; Computer science; Delay; Frequency; Linux; Process control; Processor scheduling; Production; Quality of service; Throughput;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium, 2006. IPDPS 2006. 20th International
Conference_Location :
Rhodes Island
Print_ISBN :
1-4244-0054-6
Type :
conf
DOI :
10.1109/IPDPS.2006.1639696
Filename :
1639696
Link To Document :
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