Book Image

JBoss AS 5 Performance Tuning

By : Francesco Marchioni, Jason Savod
Book Image

JBoss AS 5 Performance Tuning

By: Francesco Marchioni, Jason Savod

Overview of this book

Today's organizations need to deliver faster services to a large set of people and businesses. In order to survive this challenge, enterprises need to optimize the performance of their application server along with its components and hardware. Writing faster applications is no longer just an option for your products; it's an imperative requirement, which you cannot ignore. JBoss AS 5 Performance Tuning will teach you how to deliver fast applications on the JBoss Application Server and Apache Tomcat, giving you a decisive competitive advantage over your competitors. You will learn how to optimize the hardware resources, meeting your application requirements with less expenditure.The performance of Java Enterprise applications is the sum of a set of components including the Java Virtual Machine configuration, the application server configuration (in our case, JBoss AS), the application code itself and ultimately the operating system. This book will show you how to apply the correct tuning methodology and use the tuning tools that will help you to monitor and address any performance issues. By looking more closely at the Java Virtual Machine, you will get a deeper understanding of what the available options are for your applications and how their performance will be affected. You will learn about thread pool tuning, EJB tuning, JMS tuning, Enterprise Java Beans, and the Java Messaging Service. The persistence layer and JBoss Clustering service each have a chapter dedicated to them as they are two of the most crucial elements to configure correctly in order to run a fast application. You will also learn how to tune your web server, enabling you to configure and develop web applications that get the most out of the embedded Tomcat web server.
Table of Contents (17 chapters)
JBoss AS 5 Performance Tuning
About the Author
About the Reviewers
A Tuned Mind

An example use case with HornetQ

You have been hired by Acme Ltd to improve the performance of a Stock Trading application, which uses a JMS system for querying stock values, and to issue orders. The company has recently migrated to the HornetQ messaging system and has a performance goal of delivering 3 K (3000) messages per second. The average size of JMS messages is 1 KB.

The specifications of the system are to persist JMS messages for stock orders but not for stock quotation queries (which account for 80% of the traffic) where it can be acceptable for messages to be lost, in case of a system crash.

The system architecture is described as follows:

  • JBoss 6.0.0 M5 with HornetQ 2.1.1 installed

  • Linux System Fedora running on Xeon 4 Dual Core 32 Mb

The Acme project team has installed HornetQ with default values and, after a system warm-up, has launched a first batch of orders:


[STDOUT] 10000 Messages in 49,263 secs

[STDOUT] 20000 Messages in 97,212 secs

. . . . . .

[STDOUT] 100000 Messages...