Bernardetta Addis, Danilo Ardagna, et al.
CLOUD 2010
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.
Bernardetta Addis, Danilo Ardagna, et al.
CLOUD 2010
Anshul Gandhi, Parijat Dube, et al.
Software and Systems Modeling
Mark S. Squillante, Cathy H. Xia, et al.
Performance Evaluation
Shun-Zheng Yu, Zhen Liu, et al.
IPCCC 2002