An introduction to variable and feature selection
The Journal of Machine Learning Research
*J: a tool for dynamic analysis of Java programs
OOPSLA '03 Companion of the 18th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Profiling Java applications using code hotswapping and dynamic call graph revelation
WOSP '04 Proceedings of the 4th international workshop on Software and performance
Measuring the performance of interactive applications with listener latency profiling
Proceedings of the 6th international symposium on Principles and practice of programming in Java
Platform-independent profiling in a virtual execution environment
Software—Practice & Experience
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Task level breakdown provides high level information for operation performance bottleneck analysis. Creating a task level breakdown requires prior knowledge of the application server program logic and can be very time consuming. In this paper, we present yShark, a profiling tool which generates a task level breakdown chart automatically without prior knowledge. With thread level pattern analysis, performance bottlenecks can be easily located. We illustrate the innovative features of this tool with two real-world application case studies. First, we show how performance bottlenecks from modules both within and external to the system can be easily identified by the tool; second, we present a pattern detection and pattern matching algorithm to detect duplicate sequential tasks that can be run in parallel. We also show how this tool can be useful in VMware vCloud Director production environments due to the minimal profiling overhead.