TY - GEN
T1 - Workload resampling for performance evaluation of parallel job schedulers
AU - Zakay, Netanel
AU - Feitelson, Dror G.
PY - 2013
Y1 - 2013
N2 - Evaluating the performance of a computer system is based on using representative workloads. Common practice is to either use real workload traces to drive simulations, or else to use statistical workload models that are based on such traces. Such models allow various workload attributes to be manipulated, thus providing desirable flexibility, but may lose details of the workload's internal structure. To overcome this, we suggest to combine the benefits of real traces and flexible modeling. Focusing on the problem of evaluating the performance of parallel job schedulers, we partition each trace into independent subtraces representing different users, and then re-combine them in various ways, while maintaining features like the daily and weekly cycles of activity. This facilitates the creation of longer workload traces that enable longer simulations, the creation of multiple statistically similar workloads that can be used to gauge confidence intervals, and the creation of workloads with different load levels.
AB - Evaluating the performance of a computer system is based on using representative workloads. Common practice is to either use real workload traces to drive simulations, or else to use statistical workload models that are based on such traces. Such models allow various workload attributes to be manipulated, thus providing desirable flexibility, but may lose details of the workload's internal structure. To overcome this, we suggest to combine the benefits of real traces and flexible modeling. Focusing on the problem of evaluating the performance of parallel job schedulers, we partition each trace into independent subtraces representing different users, and then re-combine them in various ways, while maintaining features like the daily and weekly cycles of activity. This facilitates the creation of longer workload traces that enable longer simulations, the creation of multiple statistically similar workloads that can be used to gauge confidence intervals, and the creation of workloads with different load levels.
KW - resampling
KW - simulation
KW - workload trace
UR - http://www.scopus.com/inward/record.url?scp=84878178110&partnerID=8YFLogxK
U2 - 10.1145/2479871.2479893
DO - 10.1145/2479871.2479893
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AN - SCOPUS:84878178110
SN - 9781450316361
T3 - ICPE 2013 - Proceedings of the 2013 ACM/SPEC International Conference on Performance Engineering
SP - 149
EP - 159
BT - ICPE 2013 - Proceedings of the 2013 ACM/SPEC International Conference on Performance Engineering
T2 - 2013 4th ACM/SPEC International Conference on Performance Engineering, ICPE 2013
Y2 - 21 April 2013 through 24 April 2013
ER -