Sets out the fundamental techniques used in analyzing and understanding the performance of computer systems.

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.

Performance evaluation is not just determining whether or not a system meets certain objectives; it is also understanding if and how system performance can be improved. A computer system analyst must master a number of techniques to ascertain important factors and their effect on system performance. The purpose of this book is to develop a better understanding of the problem of performance evaluation and to analyze available techniques within this concept. Directed to present and future computer analysts and designers, readers should be familiar with concepts of hardware organization, system architecture, and operating systems.

Computer Systems Organization -- Performance of Systems.

An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R. The book develops the necessary skills to produce quality code that can be used in a variety of circumstances. You will learn: The fundamentals of R, including standard data types and functions Functional programming as a useful framework for solving wide classes of problems The positives and negatives of metaprogramming How to write fast, memory-efficient code This book not only helps current R users become R programmers but also shows existing programmers what’s special about R. Intermediate R programmers can dive deeper into R and learn new strategies for solving diverse problems while programmers from other languages can learn the details of R and understand why R works the way it does.

Based on the author's experience in industry, this book focuses on simple techniques for solving everyday problems in systems design and analysis. All techniques are covered in a non-mathematical way, so that no statistics expertise is necessary.