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Efficient Tracing and Versatile Analysis of Lock Contention in Java Applications on the Virtual Machine Level

Authors: Hofer, Peter; Gnedt, David; Schörgenhumer, Andreas; Mössenböck, Hanspeter;

Efficient Tracing and Versatile Analysis of Lock Contention in Java Applications on the Virtual Machine Level

Abstract

Check our website for updates: http://mevss.jku.at/?page_id=1839 --- In the paper, we present a novel approach for analyzing lock contention in Java applications by tracing locking events in the Java Virtual Machine. Unlike common methods, our approach observes not only when a thread is blocked on a lock, but also which other thread blocked it by holding that lock, and records both their call chains. This reveals the causes of lock contention instead of showing only its symptoms. We describe the techniques which we use to efficiently record trace events, metadata, and call chains. We present a versatile tool for the analysis of the traces which enables users to identify locking bottlenecks and their characteristics in an effective way. We implemented our approach in the widely used HotSpot Virtual Machine, and with a mean runtime overhead of 7.8%, we consider it efficient enough to monitor production systems.

The JDK and analysis tool which we describe in our paper, Efficient Tracing and Versatile Analysis of Lock Contention in Java Applications on the Virtual Machine Level, at ICPE 2016, Delft, NL. Please read the README file for instructions.

Keywords

Tracing, Monitoring, Locking, Profiling, Concurrency, Parallelism, Threading, Contention, Synchronization, Java

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selected citations
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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).
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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.
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