TY - GEN
T1 - Improving cluster utilization through intelligent processor sharing
AU - Stiehr, Gary
AU - Chamberlain, Roger D.
PY - 2006
Y1 - 2006
N2 - 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. copy; 2006 IEEE.
AB - 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. copy; 2006 IEEE.
UR - https://www.scopus.com/pages/publications/33847129315
U2 - 10.1109/IPDPS.2006.1639696
DO - 10.1109/IPDPS.2006.1639696
M3 - Conference contribution
AN - SCOPUS:33847129315
SN - 1424400546
SN - 9781424400546
T3 - 20th International Parallel and Distributed Processing Symposium, IPDPS 2006
BT - 20th International Parallel and Distributed Processing Symposium, IPDPS 2006
PB - IEEE Computer Society
T2 - 20th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2006
Y2 - 25 April 2006 through 29 April 2006
ER -