LEADER 03665nam 22006495 450 001 9910745585003321 005 20250628110032.0 010 $a3-031-36763-4 024 7 $a10.1007/978-3-031-36763-2 035 $a(CKB)5840000000405928 035 $a(DE-He213)978-3-031-36763-2 035 $a(PPN)272740527 035 $a(MiAaPQ)EBC30882849 035 $a(Au-PeEL)EBL30882849 035 $a(OCoLC)1420641141 035 $a(ODN)ODN0010171784 035 $a(EXLCZ)995840000000405928 100 $a20230923d2024 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPerformance Engineering $eLearning Through Applications Using JMT /$fby Giuseppe Serazzi 205 $a1st ed. 2024. 210 $d2023 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (xii, 146 pages) $cillustrations 311 0 $a3-031-36762-6 327 $aThe process of Modeling -- Systems with homogeneous workloads -- Systems with heterogeneous workloads -- Impact of variability of interarrival and service times -- Parallel computing -- Reference models. 330 $aThis 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. . 606 $aElectronic digital computers$xEvaluation 606 $aElectronic circuits 606 $aComputer networks 606 $aSoftware engineering 606 $aSystem Performance and Evaluation 606 $aElectronic Circuits and Systems 606 $aComputer Networks 606 $aSoftware Engineering 615 0$aElectronic digital computers$xEvaluation. 615 0$aElectronic circuits. 615 0$aComputer networks. 615 0$aSoftware engineering. 615 14$aSystem Performance and Evaluation. 615 24$aElectronic Circuits and Systems. 615 24$aComputer Networks. 615 24$aSoftware Engineering. 676 $a004.24 686 $aCOM051230$aCOM074000$aTEC008010$aTEC041000$2bisacsh 700 $aSerazzi$b Giuseppe$4aut$4http://id.loc.gov/vocabulary/relators/aut$0751 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910745585003321 996 $aPerformance Engineering$93573114 997 $aUNINA LEADER 05729nam 2201645z- 450 001 9910576879103321 005 20220621 035 $a(CKB)5720000000008384 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/84493 035 $a(oapen)doab84493 035 $a(EXLCZ)995720000000008384 100 $a20202206d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvances in Image Processing, Analysis and Recognition Technology 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 online resource (386 p.) 311 08$a3-0365-3605-1 311 08$a3-0365-3606-X 330 $aFor many decades, researchers have been trying to make computers' analysis of images as effective as the system of human vision is. For this purpose, many algorithms and systems have previously been created. The whole process covers various stages, including image processing, representation and recognition. The results of this work can be applied to many computer-assisted areas of everyday life. They improve particular activities and provide handy tools, which are sometimes only for entertainment, but quite often, they significantly increase our safety. In fact, the practical implementation of image processing algorithms is particularly wide. Moreover, the rapid growth of computational complexity and computer efficiency has allowed for the development of more sophisticated and effective algorithms and tools. 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