Download e-book for iPad: Computer Performance Evaluation.Modelling Techniques and by Mark E. Crovella (auth.), Boudewijn R. Haverkort, Henrik C.

By Mark E. Crovella (auth.), Boudewijn R. Haverkort, Henrik C. Bohnenkamp, Connie U. Smith (eds.)

ISBN-10: 3540464298

ISBN-13: 9783540464297

ISBN-10: 3540672605

ISBN-13: 9783540672609

This e-book constitutes the refereed complaints of the eleventh overseas convention on Modelling instruments and methods for machine conversation process 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 device descriptions and one invited paper. The papers are prepared in topical sections on queueing community types, optimization in cellular networks, stochastic Petri nets, simulation, formal equipment and function assessment, and size instruments and purposes.

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Additional info for Computer Performance Evaluation.Modelling Techniques and Tools: 11th International Conference, TOOLS 2000 Schaumburg, IL, USA, March 27–31, 2000 Proceedings

Sample text

From dynamic allocation we borrow the idea that allocation depends on the workload, so many allocations are needed. However, the general goal of this work is to find a small set of allocations that cover many key workloads. Management systems can treat these allocations as system configurations and shift between them as workloads change. Managing a small number of configurations is likely to be easier than managing a full dynamic allocation strategy. Appropriate allocations/configurations are chosen using static allocation techniques.

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.

S. Casselman, A Use Case Map Approach To High Level Design Of Object Oriented Systems. Prentice Hall 1996. 4. P. Chandranmenon and G. Varghese, “Trading Packet Headers for Packet Processing”, IEEE/ACM Transactions on Networking, vol. 4, no. 2, April 1996, pp. 141–52. 24 P. M. Woodside 5. Greg Franks, Alex Hubbard, Shikharesh Majumdar, John Neilson, Dorina Petriu, Jerome Rolia, Murray Woodside, “A Toolset For Performance Engineering And Software Design Of Client-Server Systems”, Performance Evaluation, no.

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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.)


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