Computer Performance Engineering and Stochastic Modelling

Computer Performance Engineering and Stochastic Modelling

Author: Mauro Iacono

Publisher: Springer Nature

Published: 2023-11-07

Total Pages: 411

ISBN-13: 3031431855

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This book constitutes the refereed proceedings of the 19th European Workshop on Computer Performance Engineering, EPEW 2023, and 27th International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2023, held in Florence, Italy, in June 2023. The 26 papers presented in this volume were carefully reviewed and selected from 35 submissions. The papers presented at the workshop reflect the diversity of modern performance engineering. The sessions covered a wide range of topics including robustness analysis, machine learning, edge and cloud computing, as well as more traditional topics on stochastic modelling, techniques and tools.


Runtime Verification

Runtime Verification

Author: Panagiotis Katsaros

Publisher: Springer Nature

Published: 2023-11-04

Total Pages: 494

ISBN-13: 3031442679

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This book constitutes the refereed proceedings of the 23rd International Conference on Runtime Verification, RV 2023, held in Thessaloniki, Greece, during October 3–6, 2023. The 13 full papers and 7 short papers presented in this book together with 4 tutorial papers and 2 invited papers were carefully reviewed and selected from 39 submissions. The RV conference is concerned with all aspects of novel lightweight formal methods to monitor, analyze, and guide the runtime behavior of software and hardware systems. Runtime verification techniques are crucial for system correctness, reliability, and robustness; they provide an additional level of rigor and effectiveness compared to conventional testing and are generally more practical than exhaustive formal verification.


Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)

Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)

Author: Sharvari Tamane

Publisher: Springer Nature

Published: 2023-05-01

Total Pages: 1027

ISBN-13: 9464631368

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This is an open access book. As on date, huge volumes of data are being generated through sensors, satellites, and simulators. Modern research on data analytics and its applications reveal that several algorithms are being designed and developed to process these datasets, either through the use of sequential and parallel processes. In the current scenario of Industry 4.0, data analytics, artificial intelligence and machine learning are being used to support decisions in space and time. Further, the availability of Graphical Processing Units (GPUs) and Tensor Processing Units (TPUs) have enabled to processing of these datasets. Some of the applications of Artificial Intelligence, Machine Learning and Data Analytics are in the domains of Agriculture, Climate Change, Disaster Prediction, Automation in Manufacturing, Intelligent Transportation Systems, Health Care, Retail, Stock Market, Fashion Design, etc. The international conference on Applications of Machine Intelligence and Data Analytics aims to bring together faculty members, researchers, scientists, and industry people on a common platform to exchange ideas, algorithms, knowledge based on processing hardware and their respective application programming interfaces (APIs).


Performance Evaluation Methodologies and Tools

Performance Evaluation Methodologies and Tools

Author: Evangelia Kalyvianaki

Publisher: Springer Nature

Published: 2024-02-03

Total Pages: 189

ISBN-13: 3031488857

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This volume contains the proceedings of the 16th EAI International Conference on Performance Evaluation Methodologies and Tools, VALUETOOLS 2023, which took place in Heraklion, Crete during September 6-7, 2023. The conference brought together researchers, developers, and practitioners from around the world and from different communities including computer science, networks and telecommunications, operations research, optimization, control theory, and manufacturing. The 27 members of the International Program Committee (PC) helped to provide at least 3 reviews for each of the 30 submitted contributions. Based on the reviews and PC discussions, 11 high-quality papers (9 research papers, 1 tool paper, and 1 work-in-progress paper) were accepted to be presented during the conference. The volume includes contributions organized into four thematic sessions: Games and Optimization; Simulation; Networking and Queues; Tools.


Foundations of Software and System Performance Engineering

Foundations of Software and System Performance Engineering

Author: André B. Bondi

Publisher: Addison-Wesley Professional

Published: 2014-08-08

Total Pages: 447

ISBN-13: 0133038181

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“If this book had been available to Healthcare.gov’s contractors, and they read and followed its life cycle performance processes, there would not have been the enormous problems apparent in that application. In my 40+ years of experience in building leading-edge products, poor performance is the single most frequent cause of the failure or cancellation of software-intensive projects. This book provides techniques and skills necessary to implement performance engineering at the beginning of a project and manage it throughout the product’s life cycle. I cannot recommend it highly enough.” –Don Shafer, CSDP, Technical Fellow, Athens Group, LLC Poor performance is a frequent cause of software project failure. Performance engineering can be extremely challenging. In Foundations of Software and System Performance Engineering, leading software performance expert Dr. André Bondi helps you create effective performance requirements up front, and then architect, develop, test, and deliver systems that meet them. Drawing on many years of experience at Siemens, AT&T Labs, Bell Laboratories, and two startups, Bondi offers practical guidance for every software stakeholder and development team participant. He shows you how to define and use metrics; plan for diverse workloads; evaluate scalability, capacity, and responsiveness; and test both individual components and entire systems. Throughout, Bondi helps you link performance engineering with everything else you do in the software life cycle, so you can achieve the right performance–now and in the future–at lower cost and with less pain. This guide will help you • Mitigate the business and engineering risk associated with poor system performance • Specify system performance requirements in business and engineering terms • Identify metrics for comparing performance requirements with actual performance • Verify the accuracy of measurements • Use simple mathematical models to make predictions, plan performance tests, and anticipate the impact of changes to the system or the load placed upon it • Avoid common performance and scalability mistakes • Clarify business and engineering needs to be satisfied by given levels of throughput and response time • Incorporate performance engineering into agile processes • Help stakeholders of a system make better performance-related decisions • Manage stakeholders’ expectations about system performance throughout the software life cycle, and deliver a software product with quality performance André B. Bondi is a senior staff engineer at Siemens Corp., Corporate Technologies in Princeton, New Jersey. His specialties include performance requirements, performance analysis, modeling, simulation, and testing. Bondi has applied his industrial and academic experience to the solution of performance issues in many problem domains. In addition to holding a doctorate in computer science and a master’s in statistics, he is a Certified Scrum Master.