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Quantifying and Improving the Performance of Garbage Collection. Edition No. 1

VDM Publishing House, April 2008, Pages: 152


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Researchers have devoted decades towards improving garbage collection performance.
A key question is: what opportunity remains for performance improvement? Because the
perceived performance disadvantage of garbage collection is often cited as a barrier to its
adoption, we propose using explicit memory management as the touchstone for evaluating
garbage collection performance.

This work begins by asking how well garbage collection performs currently and which areas remain for it to improve. We present oracular memory management to help answer this question by enabling us to quantify garbage collection?s performance. Our results show that while garbage collection can perform competitively, this good performance assumes
the heap fits in available memory. Our work thus focuses onto this brittleness, and we show the design
and implement of our bookmarking collector. While performing competitively when not
paging, our new collector?s paging performance helps make garbage collection?s performance
more robust.



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