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ACM Transactions on Programming Languages and Systems (TOPLAS)
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POPL '95 Proceedings of the 22nd ACM SIGPLAN-SIGACT symposium on Principles of programming languages
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PLDI '98 Proceedings of the ACM SIGPLAN 1998 conference on Programming language design and implementation
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SIGPLAN '82 Proceedings of the 1982 SIGPLAN symposium on Compiler construction
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COOTS'95 Proceedings of the USENIX Conference on Object-Oriented Technologies on USENIX Conference on Object-Oriented Technologies (COOTS)
HBench:Java: an application-specific benchmarking framework for Java virtual machines
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WOSP '02 Proceedings of the 3rd international workshop on Software and performance
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SEM '05 Proceedings of the 5th international workshop on Software engineering and middleware
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ICSOC '08 Proceedings of the 6th International Conference on Service-Oriented Computing
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Software—Practice & Experience
Self-adapting service level in Java enterprise edition
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Existing profilers for Java applications typically rely on custom instrumentation in the Java virtual machine, and measure only limited types of resource consumption. Garbage collection and multi-threading pose additional challenges to profiler design and implementation. In this paper we discuss a general-purpose, portable, and extensible approach for obtaining comprehensive profiling information from the Java virtual machine. Profilers based on this framework can uncover CPU usage hot spots, heavy memory allocation sites, unnecessary object retention, contended monitors, and thread deadlocks. In addition, we discuss a novel algorithm for thread-aware statistical CPU time profiling, a heap profiling technique independent of the garbage collection implementation, and support for interactive profiling with minimum overhead.