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Titlebook: Computer Performance Evaluation; Modelling Techniques Ramon Puigjaner,Nunzio N. Savino,Bartomeu Serra Conference proceedings 1998 Springer-

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https://doi.org/10.1007/978-3-7908-2088-1ulticast protocols. QNA-MC is based on the QNA tool which (approximately) analyses open networks consisting of GI|G|m nodes. We extend this method by allowing a more general input in form of multicast routes. These routes are then converted to serve as input for standard QNA. From the results delive
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https://doi.org/10.1007/978-3-7908-2088-1 to achieve a low average value and correspondingly high throughput, but response time should also be fairly consistent in order to provide a good quality of service. We develop a new algorithm for computing the probability density function of response times in Markovian models of client-server syst
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https://doi.org/10.1007/978-94-017-7321-8est is the simultaneous distribution of the number of customers in the system and the state of the server in steady-state. Both infinite and finite storage capacity for customers is considered. The influence of the operating time-scale is investigated by letting the underlying birth-death process mo
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https://doi.org/10.1007/3-7643-7449-7t it especially against curious insiders with access to the network consists of storing the actual information in so-called “home trusted devices” and using temporary pseudonyms for user registration in the network databases. This paper presents a detailed OPNET simulation and evaluation of the sign
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Secondary Relations for Power Mapsut in addition, the idea of driving the measurement process (application instrumentation and monitoring) by a behavioral model is introduced. Using this model, highly comprehensible performance information can be collected. The combined use of both modeling and measurement techniques is referred to
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https://doi.org/10.1007/3-7643-7449-7rel, is presented. It is based on timing and probabilistic quantitative constructs which complete the functional models. A monitoring mechanism provides performance results during the simulation. This methodology is applied to study a multithreaded run-time system for a distributed functional progra
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https://doi.org/10.1007/3-7643-7449-7s the decomposition by perturbation and the reduction approaches. In the decomposition phase, we remove from the chain some transitions with very small probabilities. But we assume that the reduced graph is still strongly connected after the deletion. A transversal (a cut set of the directed cycles)
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