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Optimize with a SATA RAID Storage Solution
Range of capacities as low as $1250 per TB. Ideal if you currently rely on servers/disks/JBODs
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A final algorithm improvement worth mentioning is compaction, which is a way to manage heap fragmentation. Compaction basically means moving objects together to free up larger consecutive chunks of memory. If you are familiar with disk fragmentation and the tools for handling it then you will find that compaction is similar, but works on Java heap memory. I'll discuss compaction in more detail later in this series.
A JVM enables portability ("write once, run anywhere") and dynamic memory management, both key features of the Java platform and reasons for its popularity and productivity.
In this first article in the JVM performance optimization series I've explained how a compiler translates bytecode to target-platform instruction languages and helps optimize the execution of your Java program dynamically. There are different compilers for different application needs.
I've also briefly discussed memory allocation and garbage collection, and how both relate to Java application performance. Basically, the higher the allocation rate of a Java application, the faster your heap fills up and the more frequently garbage collection is triggered. The challenge of garbage collection is to reclaim enough memory for your application needs without impacting running applications more than necessary, but to do so before the application runs out of memory. In future articles we'll explore the details of both traditional and more novel approaches to garbage collection for JVM performance optimization.
Eva Andreasson has been involved with Java virtual machine technologies, SOA, cloud computing, and other enterprise middleware solutions for 10 years. She joined the startup Appeal Virtual Solutions (later acquired by BEA Systems) in 2001 as a developer of the JRockit JVM. Eva has been awarded two patents for garbage collection heuristics and algorithms. She also pioneered Deterministic Garbage Collection which later became productized through JRockit Real Time. Eva has worked closely with Sun and Intel on technical partnerships, as well as various integration projects of JRockit Product Group, WebLogic, and Coherence (post Oracle acquisition in 2008). In 2009 Eva joined Azul Systems as product manager for the new Zing Java Platform. Recently she switched gears and joined the team at Cloudera as senior product manager for Cloudera's Hadoop distribution, where she is engaged in the exciting future and innovation path of highly scalable, distributed data processing frameworks.
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