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Workload service requirements analysis: a queueing network optimization approach

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4 Author(s)
Li Zhang ; IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA ; C. H. Xia ; M. S. Squillante ; W. N. Mills

The answers to many important performance related questions with multiclass queueing models depends upon having estimates for the service times of different classes of jobs. We present a general approach to infer the per-class service times at different servers in an environment where only server throughput, utilization and per-class response time measurements are available. The per-class service times are solutions to an optimization problem with queueing-theoretic formulas in the objective and constraints. We further study the impact of the variance of service times on the variance of response times. A few case studies are presented to demonstrate the power of our approach.

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Modeling, Analysis and Simulation of Computer and Telecommunications Systems, 2002. MASCOTS 2002. Proceedings. 10th IEEE International Symposium on

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