Read e-book online Handbook of polycarbonate science and technology PDF

By Donald G. LeGrand, John T. Bendler

ISBN-10: 0824799151

ISBN-13: 9780824799151

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Performance Evaluation, 39(1-4):5–35, January 2000. H. Hermanns, U. -P. Katoen. Process Algebra for Performance Evaluation. Journal of Theoretical Computer Science, Elsevier, to appear 2001. H. Hermanns, U. Herzog, and V. Mertsiotakis. Stochastic Process Algebras - between LOTOS and Markov Chains. Computer Networks and ISDN Systems, 1998. J. Hillston. A Compositional Approach to Performance Modelling. PhD thesis, University of Edinburgh, 1994. J. Hillston. Exploiting Structure in Solution: Decomposing Compositional Models.

In any case, the results from an evaluation should be interpreted with care; the results are never more accurate than the numerical parameters used in the models! Furthermore, note that even though model-based performance and dependability evaluation provides us with numbers, the insight gained in the (functional) operation of the system under study is often even more important. As Alan Scherr, IBM’s time-sharing pioneer, puts it in an interview with Communications of the ACM [22]: “model-based performance evaluation is about finding those 10% of the system that explains 90% of its behaviour”.

With the help of these building blocks, SANs allow one to describe a system’s structure and dynamic behavior in a very compact way. This compactness, of course, comes at the price that understanding a model is sometimes not so easy. Figure 18 shows the SAN model of a faulty microprocessor. SANs are tailored for the modeling and evaluation of large-scale systems with many symmetric subcomponents. Taking into consideration such symmetries, enormous statespace-reductions are possible. QoS-Parameters can be derived using the concept of impulse rewards.

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Handbook of polycarbonate science and technology by Donald G. LeGrand, John T. Bendler


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