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Performance engineering = learning through applications using JMT /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Performance engineering/ by Giuseppe Serazzi.
Reminder of title:	learning through applications using JMT /
Author:	Serazzi, Giuseppe.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xii, 146 p. :ill., digital ;24 cm.
[NT 15003449]:	The process of Modeling -- Systems with homogeneous workloads -- Systems with heterogeneous workloads -- Impact of variability of interarrival and service times -- Parallel computing -- Reference models.
Contained By:	Springer Nature eBook
Subject:	Computer networks - Management. -
Online resource:	https://doi.org/10.1007/978-3-031-36763-2
ISBN:	9783031367632

Performance engineering = learning through applications using JMT /
Serazzi, Giuseppe.

Performance engineeringlearning through applications using JMT /[electronic resource] :by Giuseppe Serazzi. - Cham :Springer Nature Switzerland :2024. - xii, 146 p. :ill., digital ;24 cm.

The process of Modeling -- Systems with homogeneous workloads -- Systems with heterogeneous workloads -- Impact of variability of interarrival and service times -- Parallel computing -- Reference models.

Open access.

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.

ISBN: 9783031367632

Standard No.: 10.1007/978-3-031-36763-2doiSubjects--Topical Terms:

576287
Computer networks
--Management.

LC Class. No.: TK5105.5 / .S47 2024

Dewey Class. No.: 004.24

Performance engineering = learning through applications using JMT /
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505 0 $a The process of Modeling -- Systems with homogeneous workloads -- Systems with heterogeneous workloads -- Impact of variability of interarrival and service times -- Parallel computing -- Reference models.
506 $a Open access.
520 $a 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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