By Mark E. Crovella (auth.), Boudewijn R. Haverkort, Henrik C. Bohnenkamp, Connie U. Smith (eds.)
This booklet constitutes the refereed court cases of the eleventh foreign convention on Modelling instruments and methods for machine communique approach functionality evaluate, instruments 2000, held in Schaumburg, IL, united states in March 2000. The 21 revised complete papers awarded have been conscientiously reviewed and chosen from a complete of forty nine submissions. additionally integrated are 15 software descriptions and one invited paper. The papers are equipped in topical sections on queueing community types, optimization in cellular networks, stochastic Petri nets, simulation, formal equipment and function assessment, and dimension instruments and purposes.
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Additional resources for Computer Performance Evaluation.Modelling Techniques and Tools: 11th International Conference, TOOLS 2000 Schaumburg, IL, USA, March 27–31, 2000 Proceedings
5. Maximum mean response time versus configurations, N=500. Rc[ms] 25000 20000 Class 0 15000 Class 1 Class 2 10000 Class 3 Class 4 5000 0 1 2 3 4 5 6 7 8 9 10 Configuration Fig. 6. Maximum asymptotic mean response time versus configurations, N=1000. We draw several conclusions from this case study: • The response times of each class of request evolve similarly as objects move from one server to another; this is because the structure of their requests is similar and object demands are uniformly distributed in a narrow interval.
The maximum number of customers allowed in the system. Then, for each crossover point v, the properties of ABA, for product form queueing networks, prove that : Nvc= βvc Nhigh, c=1…C (5) Object Allocation for Distributed Applications with Complex Workloads 33 We note that LQMs are not product form queueing networks; however, the property provides a useful approximation. Step 3 finds the search direction by computing the derivatives of the objective function with respect to population mixes at the current crossover point.
The same is true for the last line in Table 1, and is true for all but the last point in the curve for the other lines except for rows 2, 3 and 4. The experiments of rows 2, 3 and 4 had high CPU utilization and system congestion at the top ends of their ranges. 02 0 0 20 40 60 Channels 80 100 120 Fig. 9. Uni-directional measurement results for X − Y delay, with every B channel 90% utilized number of channels because each channel carries a lot of short packets, and the CPU effort is dominated by a fixed amount per packet.
Computer Performance Evaluation.Modelling Techniques and Tools: 11th International Conference, TOOLS 2000 Schaumburg, IL, USA, March 27–31, 2000 Proceedings by Mark E. Crovella (auth.), Boudewijn R. Haverkort, Henrik C. Bohnenkamp, Connie U. Smith (eds.)