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Dov Bulka has spent fifteen years in the trenches of software development delivering large-scale software products to market. He was the performance architect of the IBM Domino-Go Web server that has powered some of the biggest Web sites ever hosted on the Internet, including that of the 1996 Atlanta Olympics. He received his Ph.D. in computer science from Duke University.
This book was written with one goal in mind: to provide Java programmers with the expertise needed to build efficient, scalable Java code. The author shares his experience in server-side performance tuning through measured performance assessments, called optimizations. Each optimization discusses techniques to improve the performance and scalability of your code. Every claim is substantiated with hard numbers and an experience-based evaluation. Java™ Performance and Scalability, Volume 1, provides invaluable advice that you will, no doubt, find useful in your coding.
Presented in 48 concise lessons that target the most common and critical performance pitfalls, this book offers a plethora of practical tips and solutions for boosting the performance of your programs. These lessons cover performance-critical areas such as memory management, garbage collection, caching, and multithreading.
Specific lessons include:
In addition to providing hard numbers that quantify the optimizations, the author concludes the book with an application demonstrating the effectiveness of the performance optimizations. The exercise takes a typical program and increases its performance fourfold through a series of steps that tie together the lessons learned throughout the book. He offers both the means and the proof to better coding.
Preface Performance has been one of the dominant concerns hovering aroun d Java from its infancy. Regardless of an order of magnitude speedup resulting f rom just-in-time (JIT) compilers, HotSpot, and other advances in JVM technology, the performance issue is still a legitimate concern. The reality facing Java pr ogrammers is that it is very easy to write slow Java programs. Java is a perform ance mine field and expert guidance is a must. Given the importance of performan ce to Java developers, it is somewhat surprising that no book has been dedicated to this important topic. Almost any other Java-related issue has had multiple b ooks dedicated to it--RMI, JNI, JDBC, threads, networking, and the list goes on. Conspicuously absent has been Java performance. It has been mentioned in passin g by many authors but, to my knowledge, rarely has there been more than a chapte r discussing it. This book is aiming to fill that gaping hole. It is entirely fo cused on Java performance issues from start to finish. This book is written for Java programmers by a Java programmer. This is an important fact. It is very lik ely that the Java performance issues that I have dealt with in my code will surf ace in your code as well. The Java optimization techniques that you will find he re will significantly elevate the performance and scalability of your Java progr ams. There's plenty of material to cover. Let's get started.
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Anbieter: BooksRun, Philadelphia, PA, USA
Paperback. Zustand: Fair. First Edition. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way. Artikel-Nr. 0201704293-7-1
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Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Artikel-Nr. G0201704293I3N00
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Anbieter: Bookbot, Prague, Tschechien
Softcover. Zustand: Fair. Unterschrift / Widmung ohne Bezug; Beschriftungen / Markierungen bis 20 %; Leichte Rillen / Abschürfungen / Risse / Knicke. This book aims to equip Java programmers with the skills necessary to develop efficient, scalable code. The author shares insights from his experience in server-side performance tuning, focusing on measured performance assessments known as optimizations. Each optimization presents techniques to enhance code performance and scalability, supported by concrete data and evaluations. The content is organized into 48 concise lessons addressing common performance pitfalls, offering a wealth of practical tips to improve program efficiency. Key topics include memory management, garbage collection, caching, and multithreading. Specific lessons cover reserving StringBuffer capacity, avoiding premature object creation, creating an efficient vector class, designing caching into APIs, understanding synchronization costs, managing parallel subtasks, optimizing JNI efficiency, varying server workloads, and utilizing ServletOutputStream and JDBC connection caching. The author concludes with a practical application that demonstrates the effectiveness of these optimizations, showcasing how a typical program's performance can be quadrupled through a series of steps that integrate the lessons discussed. This resource provides both the methodology and evidence needed for improved coding practices. Artikel-Nr. 33082929-d71f-499c-b192-7b518ae5ab65
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