Synopsis
This open access book improves the users' skills needed to implement models for performance evaluation of digital infrastructures.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Giuseppe Serazzi is emeritus professor at Politecnico di Milano, Italy. Over his long career he has co-authored 150+ papers and 14 books. His research interests include performance engineering of enterprise infrastructures, modelling techniques and tools for capacity planning of very large systems. In the 90's he was the initiator, and still is one of the coordinators, of the JMT open-source project (Java Modelling Tools for performance engineering of computing infrastructures). From 1993 to 2000 he served as editorial board member of the Elsevier journal "Performance Evaluation".
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Performance Engineering: Learning Through Applications Using JMT
Edité par
Springer, 2023
ISBN 10 : 3031367626
ISBN 13 : 9783031367625
Ancien ou d'occasion
paperback
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paperback. Etat : Good. minor wear and creasing cover warped. N° de réf. du vendeur mon0003612371
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Serazzi:Performance Engineering (eng)
impression à la demandeVendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Etat : new. Questo è un articolo print on demand. N° de réf. du vendeur QP7FUFTGYG
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Performance Engineering
Edité par
Springer Nature Switzerland Okt 2023, 2023
ISBN 10 : 3031367626
ISBN 13 : 9783031367625
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open access book improves the users' skills needed to implement models for performance evaluation of digital infrastructures. Building a model is usuallya 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 incourses of performance evaluation and modeling, as well as for researchers and practitioners. 160 pp. Englisch. N° de réf. du vendeur 9783031367625
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Performance Engineering
Edité par
Springer Nature Switzerland, 2023
ISBN 10 : 3031367626
ISBN 13 : 9783031367625
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explores the topic of modeling for performance evaluation of digital infrastructuresDescribes models which provide a good balance between accuracy of results, complexity & parameterization effortServes as a reference tool for researchers in. N° de réf. du vendeur 881233637
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Performance Engineering
Edité par
Springer Nature Switzerland, Springer Sep 2023, 2023
ISBN 10 : 3031367626
ISBN 13 : 9783031367625
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Nature c/o IBS, Benzstrasse 21, 48619 Heek 160 pp. Englisch. N° de réf. du vendeur 9783031367625
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Performance Engineering : Learning Through Applications Using JMT
Edité par
Springer Nature Switzerland, 2023
ISBN 10 : 3031367626
ISBN 13 : 9783031367625
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book improves the users' skills needed to implement models for performance evaluation of digital infrastructures. Building a model is usuallya 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 incourses of performance evaluation and modeling, as well as for researchers and practitioners. N° de réf. du vendeur 9783031367625
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Performance Engineering | Learning Through Applications Using JMT
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Taschenbuch. Etat : Neu. Performance Engineering | Learning Through Applications Using JMT | Giuseppe Serazzi | Taschenbuch | xii | Englisch | 2023 | Palgrave Macmillan | EAN 9783031367625 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 126986706
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Performance Engineering : Learning Through Applications Using JMT
Edité par
Palgrave Macmillan, 2023
ISBN 10 : 3031367626
ISBN 13 : 9783031367625
Ancien ou d'occasion
Couverture souple
Vendeur : Buchpark, Trebbin, Allemagne
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Etat : Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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. N° de réf. du vendeur 42424959/2
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