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A study of Java's non-Java memory

Authors: Kazunori Ogata; Dai Mikurube; Kiyokuni Kawachiya; Scott Trent; Tamiya Onodera;

A study of Java's non-Java memory

Abstract

A Java application sometimes raises an out-of-memory ex-ception. This is usually because it has exhausted the Java heap. However, a Java application can raise an out-of-memory exception when it exhausts the memory used by Java that is not in the Java heap. We call this area non-Java memory. For example, an out-of-memory exception in the non-Java memory can happen when the JVM attempts to load too many classes. Although it is relatively rare to ex-haust the non-Java memory compared to exhausting the Java heap, a Java application can consume a considerable amount of non-Java memory. This paper presents a quantitative analysis of non-Java memory. To the best of our knowledge, this is the first in-depth analysis of the non-Java memory. To do this we cre-ated a tool called Memory Analyzer for Redundant, Unused, and String Areas (MARUSA), which gathers memory statis-tics from both the OS and the Java virtual machine, break-ing down and visualizing the non-Java memory usage. We studied the use of non-Java memory for a wide range of Java applications, including the DaCapo benchmarks and Apache DayTrader. Our study is based on the IBM J9 Java Virtual Machine for Linux. Although some of our results may be specific to this combination, we believe that most of our observations are applicable to other platforms as well.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Top 10%
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