Measuring Computer Performance

Author: David J. Lilja
Publisher: Cambridge University Press
ISBN: 9780521646703
Format: PDF
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Measuring Computer Performance sets out the fundamental techniques used in analyzing and understanding the performance of computer systems. Throughout the book, the emphasis is on practical methods of measurement, simulation, and analytical modeling. The author discusses performance metrics and provides detailed coverage of the strategies used in benchmark programs. He gives intuitive explanations of the key statistical tools needed to interpret measured performance data. The book closes with a chapter on the technique of queueing analysis.

Measuring Computer Performance

Author: David J. Lilja
Publisher: Cambridge University Press
ISBN: 9781139427784
Format: PDF, Kindle
Download Now
Measuring Computer Performance sets out the fundamental techniques used in analyzing and understanding the performance of computer systems. Throughout the book, the emphasis is on practical methods of measurement, simulation, and analytical modeling. The author discusses performance metrics and provides detailed coverage of the strategies used in benchmark programmes. He gives intuitive explanations of the key statistical tools needed to interpret measured performance data. He also describes the general 'design of experiments' technique, and shows how the maximum amount of information can be obtained for the minimum effort. The book closes with a chapter on the technique of queueing analysis. Appendices listing common probability distributions and statistical tables are included, along with a glossary of important technical terms. This practically-oriented book will be of great interest to anyone who wants a detailed, yet intuitive, understanding of computer systems performance analysis.

The Practitioner s Guide to Data Quality Improvement

Author: David Loshin
Publisher: Elsevier
ISBN: 9780080920344
Format: PDF, Mobi
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The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. This book is recommended for data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers. Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning.

Practitioner s Guide to Program Management

Author: Irene Didinsky
Publisher: Project Management Institute
ISBN: 162825369X
Format: PDF, Kindle
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Programs serve as a crucial link between strategy and the execution of business results and organizations implement them to achieve strategic goals. Although the practice of program management has evolved in lockstep with the project management profession, the root causes of program failure remain. In this step-by-step guide, Irene Didinsky offers a standardized approach to program management, closing the knowledge gaps and variations that currently exist across organizations and industries. For the first time, Practitioner's Guide to Program Management walks the reader through all the key components of effective program management. Using a case study example of an actual process improvement program, Didinsky discusses the qualities of excellence in program leadership, the importance of organizational strategy alignment throughout the program life cycle, how a program realizes benefits, and how to manage conflicting priorities of stakeholders. This comprehensive resource also includes an historical overview of the professionalization of the field, outlines the logistics of forming a program management community of practice, and concludes with a glossary of terms. With this desktop manual in their hands, practitioners can expect to thrive and guarantee the success of their programs.

Models at Work

Author: J. Farid
Publisher: Springer
ISBN: 1137371641
Format: PDF, Kindle
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This book provides a much needed 'middle ground' for risk practitioners who need an in-depth understanding of risk management without excessive formulae or theory. Written to appeal to a broad but financially-minded audience, it provides coverage of risk management and the frameworks commonly applied in the financial services industry.

A Practitioner s Guide to Stochastic Frontier Analysis Using Stata

Author: Subal C. Kumbhakar
Publisher: Cambridge University Press
ISBN: 1316194493
Format: PDF
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A Practitioner's Guide to Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the basic theory of each model in an accessible way, using empirical examples that demonstrate the interpretation and application of models. This book also provides computer code, allowing users to apply the models in their own work, and incorporates the most recent stochastic frontier models developed in academic literature. Such recent developments include models of heteroscedasticity and exogenous determinants of inefficiency, scaling models, panel models with time-varying inefficiency, growth models, and panel models that separate firm effects and persistent and transient inefficiency. Immensely helpful to applied researchers, this book bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented.

Human Performance Workload and Situational Awareness Measures Handbook Second Edition

Author: Valerie J. Gawron
Publisher: CRC Press
ISBN: 9781420064506
Format: PDF, Kindle
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Human performance measurement is the cornerstone of human factors and experimental psychology and the Human Performance Measures Handbook has long been its foundational reference. Reflecting a wider range and scope, the second edition, newly named Human Performance, Workload, and Situational Awareness Measures Handbook, presents changes in the field and increased applications. It covers the basics of measurement and provides authoritative summaries of over 100 performance, workload, and situational awareness (SA) measures. It contains evaluations of metrics drawn from an extensive literature review and from hundreds of actual projects, grounding research with real-world applicability. The book also defines workload; provides performance, subjective, simulation, and psychological measures; and gives guidance on how to select the right workload measure. The author rounds out the coverage by presenting four types of measures for SA: subjective, observational, physiological, and measures of SA ability. What’s New Additional measures of team performance Expanded glossary includes terms added to the discipline over the last 7 years Updated information from various journals including Ergonomics and Aviation, Space, and Environmental Medicine The second edition of a tried-and-true resource, this handbook offers an overview of measurement issues and information on descriptions, strengths and limitations, and data requirements, as well as references for various measures. The original has proven invaluable to the field, and the new edition does the same by providing the tools required to develop, evaluate, and select systems for optimum performance, workload, and SA.

Software Performance and Scalability

Author: Henry H. Liu
Publisher: John Wiley & Sons
ISBN: 1118211316
Format: PDF, Kindle
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Praise from the Reviewers: "The practicality of the subject in a real-world situation distinguishes this book from others available on the market." —Professor Behrouz Far, University of Calgary "This book could replace the computer organization texts now in use that every CS and CpE student must take. . . . It is much needed, well written, and thoughtful." —Professor Larry Bernstein, Stevens Institute of Technology A distinctive, educational text onsoftware performance and scalability This is the first book to take a quantitative approach to the subject of software performance and scalability. It brings together three unique perspectives to demonstrate how your products can be optimized and tuned for the best possible performance and scalability: The Basics—introduces the computer hardware and software architectures that predetermine the performance and scalability of a software product as well as the principles of measuring the performance and scalability of a software product Queuing Theory—helps you learn the performance laws and queuing models for interpreting the underlying physics behind software performance and scalability, supplemented with ready-to-apply techniques for improving the performance and scalability of a software system API Profiling—shows you how to design more efficient algorithms and achieve optimized performance and scalability, aided by adopting an API profiling framework (perfBasic) built on the concept of a performance map for drilling down performance root causes at the API level Software Performance and Scalability gives you a specialized skill set that will enable you to design and build performance into your products with immediate, measurable improvements. Complemented with real-world case studies, it is an indispensable resource for software developers, quality and performance assurance engineers, architects, and managers. It is anideal text for university courses related to computer and software performance evaluation and can also be used to supplement a course in computer organization or in queuing theory for upper-division and graduate computer science students.