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Software performance and scalability: a quantitative approach/Henry H. Liu p. cm. With the advent of Java in the s, another revolutionary idea was called the probability distribution function (PDF) or simply the distribution function . Title: Java Performance and Scalability: A Quantitative Approach by Henry H. Liu Pdf-books #ebook, Author: Tjennei, Name: Java Performance. Ebook Java Performance And Scalability A Quantitative Approach currently available at ronaldweinland.info for review only, if you need complete ebook Java.
Looks like you are currently in Ukraine but have requested a page in the United States site. Would you like to change to the United States site? Henry H. It is much needed, well written, and thoughtful. 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:. 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.
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This item will be shipped through the Global Shipping Program and includes international tracking. Learn more - opens in a new window or tab. There are 34 items available. Please enter a number less than or equal to Select a valid country. Please enter 5 or 9 numbers for the ZIP Code. On the other hand, software performance and scalability are indeed very challenging technical issues.
Precautions must be taken with every major effort to improve the performance and scalability of a software product. Establishing a very capable performance and scalability test team would certainly help. Software developers should think consciously from performance and scalability perspectives whenever they make a design or an implementation decision. Software developers already possess strong, valuable, and hard-to-obtain software design and implementation skills.
Building a software system that performs and scales is a cross-team effort. This book provides a common knowledge platform for all stakeholders to work together to tame the challenging performance and scalability issues so that the product they are all responsible for is built to perform and scale. If software developers are equipped with adequate knowledge and experience in software performance and scalability, fewer defects will slip out of their hands into the builds they deliver. Software engineers who conduct the performance and scalability tests to make sure that the product will not be released to the market without catching and resolving major performance and scalability defects.
Most of the engineers who conduct the performance and scalability tests are from other job responsibilities, such as quality assurance, system administration, database administration, or programming. This book can help them get up to speed quickly in helping resolve software performance and scalability issues they discover through their tests. Software performance managers and development managers who are interested in understanding software performance and scalability problems at a high level so that they can lead more effectively in getting various performance and scalability defects resolved in time.
First of all, it can be used as a textbook for university courses related to computer performance evaluation and software non-functional testing at the upper-division undergraduate and graduate levels.
It can be used as a required supplement to the computer organization texts now in use that every CS and CpE student must take.
It is an ideal text as well to supplement a course in queuing theory that is available in many universities for the students majoring in mathematics, probability and statistics. Many books available today on the subject of software performance and scalability do not provide the same level of quantitativeness, which is one of the most distinctive merits of this book.
In my opinion, quantitativeness is a requirement for dealing with software performance and scalability issues, as performance and scalability are quantitatively measurable attributes of a software system. I hope that the quantitative approach and the real-world quantitative case studies presented throughout this book can help you learn about software performance and scalability faster and more effectively.
It introduces the basic concepts and principles behind the physics of software performance and scalability from a practical point of view. It demonstrates how the performance and scalability of your products can be optimized and tuned using both proven theories and quantitative, real-world examples presented as case studies in each chapter. These case studies can easily be applied to your software projects so that you can realize immediate, measurable improvements on the performance and scalability of your products.
As illustrated in Figure A, this book elaborates on three levels of skill sets for coping with software performance and scalability problems. Figure A Three levels of skill sets for solving software performance and scalability challenges. This part lays the foundation for understanding the factors that affect the performance and scalability of a software product in general.
It introduces the various hardware components of a modern computer system as well as software platforms that predetermine the performance and scalability of a software product. It concludes with how to test quantitatively the performance and scalability of a software product. Through quantitative measurements, you can determine not only which hardware and software platforms can deliver the required performance and scalability for your products, but also how to optimize and tune the performance and scalability of your products over time.
Part 2: Applying Queuing Theory. Queuing theory is the mathematical study of waiting lines or queues for a system that depends on limited resources to complete certain tasks.
It is particularly useful as a quantitative framework to help identify the performance and scalability bottlenecks of a computer software system. Such information is useful in identifying the most expensive execution paths from performance and scalability perspectives. In order to make this book more suitable as a textbook for an upper division undergraduate or graduate level course for computer and software engineering students, exercises have been provided at the end of each chapter.
I have made every effort to make this book concise, practical, interesting, and useful for helping you solve your software performance and scalability problems.
In addition, be conscious that by developing high-performance and scalable software that consumes less electric power to run, xx PREFACE you are not only contributing to the success of your company and your customers, but also helping reduce global warming effects, for which we are all responsible.
Some of the greatest physicists that I was so lucky to have had a chance to work for and with include: Professor S. Liu, Professor J. Xie, Dr. Le Duff, Professor Dr. Richter, Dr. Bisognano, Dr. Neil, and Dr. Because of them, my previous physics research career had been so enjoyable and fruitful.
Although I left physics research and jumped to computers and software about a decade ago, the spirit of pursuing a subject in a rigorous, quantitative, and objective manner cultivated through my earlier physics research career has never left me. I have had this hopelessly immutable habitude of trying to deal with every software performance issue as quantitatively as possible as if it were a physics research subject.
I have been totally soaked with that spirit, which gives me the power and energy for pursuing every challenging software performance and scalability problem quantitatively, and thus this book—Software Performance and Scalability: A Quantitative Approach.
Keith had enthusiastically read draft versions of my papers prior to publication and had always encouraged me to publish and share my software performance experience with the greater software community.
I also feel excited to mention one of my fellow software performance engineers, Mary Shun, who encouraged me to write a book on software performance someday.
Many thanks and this is it, Mary! While taking on a tremendous amount of managerial responsibilities, Engel has demonstrated an extremely sharp and accurate sense of software performance and scalability issues at high levels.
The atmosphere Engel created within the group he manages has always made me feel comfortable to express my opinions freely and to make my own judgments objectively on technical issues, as I used to as a scientist, for which I am truly grateful. I would like to take this opportunity to thank the nonanonymous yet never-met authors of some hundreds of books I bought in mathematics, physics, computers, and software.
The books they wrote fed my knowledge-hungry mind at various stages of my careers. I sincerely thank those anonymous referees who offered very useful opinions on how to make this book more valuable to the readers and more suitable as a textbook for an upper division undergraduate or graduate level course for students majoring in computers and software. Their very helpful suggestions have been incorporated in the various parts of this book.
I also owe thanks to Dr.