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Enterprise Java Performance - Softcover

 
9780130172969: Enterprise Java Performance

Synopsis

The authors present a guide to the complexity of running business codes on a massive system with a large, heterogeneous user population. They explore performance issues and offer instruction on designing a framework suitable to a growing business. They outline general concepts and offer specific suggestions, illustrated with actual code. Technologies discussed include JVM/JIT, SanFrancisco, Enterprise JavaBeans, CORBA, and Jini connection technology. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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About the Author

Steven L. Halter and Steven J. Munroe are both leaders on IBM's SanFrancisco Project, the world's largest and most comprehensive study of Java and performance in business development. Steven L. Halter is an expert in object persistence and object infrastructures, while Steven J. Munroe's background is in system architecture and design. Between them they hold sixteen U.S. patents.

From the Back Cover

  • Java performance for real business success
  • Practical, large-scale programming
  • Illustrates common Java pitfalls
  • Includes coverage of CORBA and JINI

Technical Editors: Peter van der Linden, best-selling author of Just Java and Stephen R. Pietrowicz, National Center for Supercomputing Applications, University of Illinois, Urbana-Champaign

"This is the sort of book that I look for as an advanced programmer. There just aren't enough of these types of books out there."
—Stephen R. Pietrowicz, National Center for Supercomputing Applications, University of Illinois, Urbana-Champaign

When your enterprise solutions are written in Java, system performance equals organizational productivity.

As Java is exploding into business environments, programmers require a new approach to encompass enterprise-wide thinking. With today's distributed computing environments magnifying even minor performance pitfalls, large-scale tuning can make the difference between success and just getting by. Steven L. Halter and Steven J. Munroe, who have been working with Java from its very beginning, bring their experiences from the IBM SanFrancisco Project to this unique book.

Their expertise provides a brilliant guide to the complexity of running business code on a massive system with a large, heterogeneous user population. By exploring performance issues from the ground up, they show you how to design a framework to withstand the changing demands of a growing business. Right from the start, you'll get general concepts and specific tips on improving enterprise Java performance, illustrated with actual Java code that you can put to work for you. Just some of the technologies included are: JVM/JIT, SanFrancisco, Enterprise JavaBeans, CORBA, and Jini. Real Java code examples illustrate:

  • Performance theory
  • Performance obstacles
  • Local/remote issues
  • Granularity
  • Benchmarking
  • System tuning
  • Effects of scale
  • SanFrancisco
  • Enterprise JavaBeans
  • CORBA

From the Inside Flap

Preface

The area of using Sun's Java technology for business needs is rapidly expanding. And with that expansion, of course, comes the need to address performance issues in this relatively new environment. Java itself has many performance pitfalls so that when you add the complexity of trying to run business code and scaling systems to meet the demands of many users, guidance is clearly needed. In fact, even very experienced Java programmers can make performance design mistakes in the enterprise environment. The purpose of this book is to describe methods of improving the performance of Enterprise applications developed in the Java programming language. The book will follow a pattern of working from basic examples and then building upon those examples to present the more complex topics within enterprise performance.

The authors have been part of the IBM SanFrancisco Project development team (SanFrancisco provides a common object-oriented infrastructure and application logic for Java application developers). We have watched the Java platform and SanFrancisco mature. As members of the SanFrancisco performance team, we have worked with both JVM/JIT technology suppliers and domain experts developing business object frameworks. This vantage point has given us some deep insights into the do's and don'ts of using Sun's Java technology for enterprise applications. It is this experience that we want to share with IT professionals.About This Book

This book is aimed at programmers who want to make this technology work most efficiently in the enterprise environment. We assume that readers already have a basic knowledge of the programming language, its syntax, and general class libraries.Organization

Part 1 lays the foundation for the rest of the book with a general introduction to enterprise performance and Java enterprise performance in particular. Chapter 1, "Performance in General," provides an introduction to performance in general. In Chapter 2, "Tools for Identifying Java Performance," we discuss some common tools for identifying the causes of performance problems, and Chapter 3, "Java Performance Problem Areas," gives some background on common performance problems specific to Java programming. Many of the strengths of Java, such as objects, garbage collection, and similarity to C/C++, can also be pitfalls if not used correctly. By the time you have finished the first three chapters, you will have the ideas and concepts in place that provide a foundation for well-performing Java and for understanding the more in-depth coverage within the remainder of the book.

Part 2 goes into detail on specific areas of Java performance physics. Chapter 4, "Local/Remote Issues," delves into issues of Local vs. Remote objects. Java provides powerful mechanisms (such as RMI) that aid in making the programming model for local objects the same as for remote objects. However, there can be a cost to this transparency, and it is essential to put the objects in the right place. Chapter 5, "Granularity," may also be thought of as expanding on the concept of "put the objects in the right place," but this time it is approached in terms of the granularity of objects, that is, how to decide which objects should be bound together tightly versus being loosely associated. In Chapter 6, "Bottlenecks," we introduce the topic of bottlenecks and how to deal with them. Eliminating bottlenecks is key to well-performing applications. One bottleneck can undo all the best efforts of programming farther down the stream. There are many opportunities for introducing bottlenecks into code.

Part 3 presents information on benchmarking. In Chapter 7, "Java Benchmarking Overview," we overview Java benchmarking tools and look at the plumbing behind it all, including the Java Virtual Machine (JVM), the kind of persistence infrastructure being used, and the distributed object infrastructure. An appropriate benchmark can go a long way toward revealing just how much can be expected from your enterprise application. Chapter 8, "An Application-Level Benchmark," expands on the benchmarking ideas of Chapter 7 and applies them to the application layer.

Part 4 covers four application environments currently used in or with enterprise Java programming. Chapters 9, 10, 11, and 12 detail the SanFrancisco, Enterprise Java Beans, CORBA/Java, and Jini environments, respectively, and how there are various choices in each that can affect the performance of an application running in the environment it defines.

In Part 5, we introduce a way of conceptualizing application models for the Java platform. Chapter 13, "How Java Is Used," reviews different ways in which Java is used, and how Java adapts to these environments: Web Out, Web In, Application Glue, Database Up, Application Wrapper, and Objects Down. Chapter 14, "Performance Implications," explores the performance implications of the various environments presented in Chapter 13.

Part 6 concludes the book with a look at problems and solutions involved in scaling up Java applications. Chapter 15, "System Tuning," examines the effects of the memory, disk, and network configuration on your Java application, and gives tips for system tuning. Chapter 16, "Large-Scale Effects," looks at SMP and cluster effects as well as what happens to Java environments as applications scale up. As the complexity of an application expands, it places greater and greater demands upon the Java infrastructure, such as the Java heap and garbage collection. We also look at how the correct placement, access, and replication of objects within a shared large-scale environment can be critical.Companion FTP Site

Complete code for the examples presented in this book can be downloaded from the following FTP site:ftp://ftp.prenhall/pub/ptr/sunsoft_books.w-053/enterprise_java_performance

Steven L. Halter is a Senior Staff Software Engineer for Imation Corp, working in the Software Research and Development Rochester Laboratory. He was a Staff Software Engineer for the IBM Software Systems Division and a member of the SanFrancisco Performance group during much of the writing of this book. He has worked in the areas of object persistence and object infrastructures, in which he holds five issued U.S. patents. He has also worked in the architecture and design area for system software for the IBM AS/400. He received his BS and MS degrees in Computer Science from Iowa State University.

Steven Jay Munroe is currently a Senior Software Engineer with IBM and was a member of the SanFrancisco Performance team during the writing of this book. Steve is currently a member of the SanFrancisco Application Deployment team, working with independent software developers and customers deploying SanFrancisco applications. Before joining the SanFrancisco team, Steve worked in various architecture and design roles in system software development for IBM's System/38 and AS/400 products. Steve is an inventor with twelve issued patents. He received a BS degree in Computer Science from Washington State University, Pullman, Washington.

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