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Application-specific garbage collection
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DOI：10.1016/j.jss.2006.12.566.png)
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Abstract
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Prior work, including our own, shows that application performance in garbage collected languages is highly dependent upon the application behavior and on underlying resource availability. We show that given a wide range of diverse garbage collection (GC) algorithms, no single system performs best across programs and heap sizes. We present a Java Virtual Machine extension for dynamic and automatic switching between diverse, widely used GCs for application-specific garbage collection selection. We describe annotation-guided, and automatic GC switching. We also describe a novel extension to extant on-stack replacement (OSR) mechanisms for aggressive GC specialization that is readily amenable to compiler optimization. (C) 2007 Elsevier Inc. All rights reserved.
Keywords:
application-specific garbage collection
dynamic GC selection
adaptive garbage collection
virtual machine
Java
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