Performance Engineering Learning Through Applications Using JMT
This open access book improves the users' skills needed to implement models for performance evaluation of digital infrastructures. Building a model is usually a relatively easy task, but making it an accurate representation of the phenomenon to be reproduced is a completely different matter. It...
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| Autor principal: | |
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| Formato: | Electrónico Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
Cham
Springer Nature
2024
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| Materias: | |
| Acceso en línea: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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| Sumario: | This open access book improves the users' skills needed to implement models for performance evaluation of digital infrastructures. Building a model is usually a relatively easy task, but making it an accurate representation of the phenomenon to be reproduced is a completely different matter. It is well-known that to increase the ability to build reliable models it is necessary to accumulate experience. The book addresses this need by presenting a collection of case studies of increasing complexity. Readers are introduced to the modeling process gradually, learning the basic concepts step-by-step as they go through the case studies. Queueing Networks are used to design the models solved with simulation and analytical techniques from the open source Java Modelling Tools (JMT). Among the models analyzed there are systems for optimizing performance, identifying bottlenecks, evaluating the impact of the variability of traffic and service demands, analyzing the effects of synchronization policies in parallel computing. Four case studies derived from real-life scenarios are also presented: a surveillance system, autoscaling load fluctuations, web app workflow simulation, and crowd computing platform. This book serves as a reference tool for graduate and senior-level computer science students in courses of performance evaluation and modeling, as well as for researchers and practitioners. |
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| Descripción Física: | 1 electronic resource (146 p.) |
| ISBN: | 978-3-031-36763-2 9783031367632 9783031367625 |
| Acceso: | Open Access |