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}}</ref><ref name=cnet1998/><ref>{{cite web
| url=http://grnlight.net/index.php/programming-articles/116-java-gets-four-times-faster-with-new-symantec-just-in-time-compiler
| archive-url=https://archive.today/20140527181040/http://grnlight.net/index.php/programming-articles/116-java-gets-four-times-faster-with-new-symantec-just-in-time-compiler
| url-status=usurped
| archive-date=May 27, 2014
| title=Java gets four times faster with new Symantec just-in-time compiler}}</ref> the addition of language features supporting better code analysis, and optimizations in the JVM (such as [[HotSpot (virtual machine)|HotSpot]] becoming the default for [[Sun Microsystems|Sun]]'s JVM in 2000). Sophisticated [[garbage collection (computer science)|garbage collection]] strategies were also an area of improvement. Hardware execution of Java bytecode, such as that offered by ARM's [[Jazelle]], was explored but not deployed.
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| publisher=[[Sun Microsystems]]
| access-date=April 20, 2008}}</ref><ref>{{Cite web
| url=
| title=Lang.NET 2008: Day 1 Thoughts
| quote=''Deoptimization is very exciting when dealing with performance concerns, since it means you can make much more aggressive optimizations...knowing you'll be able to fall back on a tried and true safe path later on''
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| access-date=February 15, 2008}}
</ref><ref>{{Cite web
|url =
|title = Efficient Cooperation between Java and Native Codes - JNI Performance Benchmark
|last = Kurzyniec
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|author1=Chris Nyberg |author2=Mehul Shah | access-date=November 30, 2010
}}</ref><ref name=googlemapreduce>{{cite web
| url=
| title=Sorting 1PB with MapReduce
| date=November 21, 2008
| |||