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oapen-20.500.12657-767352023-10-14T02:45:56Z Performance Engineering Serazzi, Giuseppe Capacity planning of digital infrastructures Performance modeling performance models Petri Nets Queueing Networks bic Book Industry Communication::U Computing & information technology::UY Computer science::UYD Systems analysis & design bic Book Industry Communication::T Technology, engineering, agriculture::TJ Electronics & communications engineering::TJF Electronics engineering::TJFC Circuits & components bic Book Industry Communication::T Technology, engineering, agriculture::TJ Electronics & communications engineering::TJK Communications engineering / telecommunications bic Book Industry Communication::U Computing & information technology::UM Computer programming / software development::UMZ Software Engineering 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. 2023-10-13T15:43:54Z 2023-10-13T15:43:54Z 2024 book ONIX_20231013_9783031367632_23 9783031367632 9783031367625 https://library.oapen.org/handle/20.500.12657/76735 eng application/pdf n/a 978-3-031-36763-2.pdf https://link.springer.com/978-3-031-36763-2 Springer Nature Springer Nature Switzerland 10.1007/978-3-031-36763-2 10.1007/978-3-031-36763-2 6c6992af-b843-4f46-859c-f6e9998e40d5 b33d6fe3-e99f-4950-ac73-d8d2fbad6b15 9783031367632 9783031367625 Springer Nature Switzerland 146 Cham [...] Politecnico di Milano open access
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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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