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Systems benchmarkingfor scientists and engineers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Systems benchmarkingby Samuel Kounev, Klaus-Dieter Lange, Jóakim von Kistowski.
其他題名:	for scientists and engineers /
作者:	Kounev, Samuel.
其他作者:	Lange, Klaus-Dieter.
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	xxxvi, 478 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Benchmarking (Management)
電子資源:	https://doi.org/10.1007/978-3-031-85634-1
ISBN:	9783031856341$q(electronic bk.)

Systems benchmarkingfor scientists and engineers /
Kounev, Samuel.

Systems benchmarkingfor scientists and engineers /[electronic resource] :by Samuel Kounev, Klaus-Dieter Lange, Jóakim von Kistowski. - Second edition. - Cham :Springer Nature Switzerland :2025. - xxxvi, 478 p. :ill., digital ;24 cm.

Part I Foundations -- 1 Benchmarking Basics -- 2 Review of Basic Probability and Statistics -- 3 Metrics -- 4 Statistical Measurements -- 5 Experimental Design -- 6 Measurement Techniques -- 7 Operational Analysis and Basic Queueing Models -- 8 Workloads -- 9 Standardization -- Part II Applications -- 10 CPU Benchmarks -- 11 Server Energy Efficiency Benchmarks -- 12 Virtualization Benchmarks -- 13 Storage Benchmarks -- 14 PC, Workstation, Graphics, and Network Benchmarks -- 15 Microservice Application Benchmarks -- 16 Machine Learning and Artificial Intelligence -- 17 Scalability of Networks and Systems -- 18 Elasticity of Cloud Platforms -- 19 Performance Isolation -- 20 Resource Demand Estimation -- 21 Software and System Security.

This book serves as both a textbook and handbook on the benchmarking of systems and components used as building blocks of modern information and communication technology applications. It provides theoretical and practical foundations as well as an in-depth exploration of modern benchmarks and benchmark development. The book is divided into two parts: foundations and applications. The first part introduces the foundations of benchmarking as a discipline, covering the three fundamental elements of each benchmarking approach: metrics, workloads, and measurement methodology. The second part focuses on different application areas, presenting contributions in specific fields of benchmark development. These contributions address the unique challenges that arise in the conception and development of benchmarks for specific systems or subsystems, and they demonstrate how the foundations and concepts in the first part of the book are being used in existing benchmarks. Further, the book presents a number of concrete applications and case studies based on input from leading benchmark developers from consortia such as the Standard Performance Evaluation Corporation (SPEC) and the Transaction Processing Performance Council (TPC). Besides a number of updates in almost all chapters, for this new edition three chapters are added in Part II of the book: (1) "Machine Learning and Artificial Intelligence" to cater the growing need to evaluate and benchmark ML and AI systems, (2) "Scalability of Networks and Systems" focusing on novel metrics and techniques to evaluate scalability, and (3) "PC, Workstation, Graphics, and Network Benchmarks" covering popular benchmarks like SYSmark, PCMark, Phoronix Test Suite, 3DMark, the Blender benchmark, and end-to-end network performance tools. Providing both practical and theoretical foundations, as well as a detailed discussion of modern benchmarks and their development, the book is intended as a handbook for professionals and researchers working in areas related to benchmarking. It offers an up-to-date point of reference for existing work as well as latest results, research challenges, and future research directions. It also can be used as a textbook for graduate and postgraduate students studying any of the many subjects related to benchmarking. While readers are assumed to be familiar with the principles and practices of computer science, as well as software and systems engineering, no specific expertise in any subfield of these disciplines is required.

ISBN: 9783031856341$q(electronic bk.)

Standard No.: 10.1007/978-3-031-85634-1doiSubjects--Topical Terms:

221069
Benchmarking (Management)

LC Class. No.: QA76.9.E94

Dewey Class. No.: 004.24

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505 0 $a Part I Foundations -- 1 Benchmarking Basics -- 2 Review of Basic Probability and Statistics -- 3 Metrics -- 4 Statistical Measurements -- 5 Experimental Design -- 6 Measurement Techniques -- 7 Operational Analysis and Basic Queueing Models -- 8 Workloads -- 9 Standardization -- Part II Applications -- 10 CPU Benchmarks -- 11 Server Energy Efficiency Benchmarks -- 12 Virtualization Benchmarks -- 13 Storage Benchmarks -- 14 PC, Workstation, Graphics, and Network Benchmarks -- 15 Microservice Application Benchmarks -- 16 Machine Learning and Artificial Intelligence -- 17 Scalability of Networks and Systems -- 18 Elasticity of Cloud Platforms -- 19 Performance Isolation -- 20 Resource Demand Estimation -- 21 Software and System Security.
520 $a This book serves as both a textbook and handbook on the benchmarking of systems and components used as building blocks of modern information and communication technology applications. It provides theoretical and practical foundations as well as an in-depth exploration of modern benchmarks and benchmark development. The book is divided into two parts: foundations and applications. The first part introduces the foundations of benchmarking as a discipline, covering the three fundamental elements of each benchmarking approach: metrics, workloads, and measurement methodology. The second part focuses on different application areas, presenting contributions in specific fields of benchmark development. These contributions address the unique challenges that arise in the conception and development of benchmarks for specific systems or subsystems, and they demonstrate how the foundations and concepts in the first part of the book are being used in existing benchmarks. Further, the book presents a number of concrete applications and case studies based on input from leading benchmark developers from consortia such as the Standard Performance Evaluation Corporation (SPEC) and the Transaction Processing Performance Council (TPC). Besides a number of updates in almost all chapters, for this new edition three chapters are added in Part II of the book: (1) "Machine Learning and Artificial Intelligence" to cater the growing need to evaluate and benchmark ML and AI systems, (2) "Scalability of Networks and Systems" focusing on novel metrics and techniques to evaluate scalability, and (3) "PC, Workstation, Graphics, and Network Benchmarks" covering popular benchmarks like SYSmark, PCMark, Phoronix Test Suite, 3DMark, the Blender benchmark, and end-to-end network performance tools. Providing both practical and theoretical foundations, as well as a detailed discussion of modern benchmarks and their development, the book is intended as a handbook for professionals and researchers working in areas related to benchmarking. It offers an up-to-date point of reference for existing work as well as latest results, research challenges, and future research directions. It also can be used as a textbook for graduate and postgraduate students studying any of the many subjects related to benchmarking. While readers are assumed to be familiar with the principles and practices of computer science, as well as software and systems engineering, no specific expertise in any subfield of these disciplines is required.
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