A statistical approach for identifying memory leaks in cloud applications

dc.contributor.author Šor, Vladimir
dc.contributor.author Srirama, Satish Narayana
dc.date.accessioned 2022-03-27T06:06:28Z
dc.date.available 2022-03-27T06:06:28Z
dc.date.issued 2011-09-14
dc.description.abstract This position paper describes the attempt to automate the statistical approach for memory leak detection in Java™ applications. Proposed system extends the basic statistical memory leak detection method with further intelligence to pinpoint the source of the memory leak in the source code. As the method adds only small overhead in runtime it is designed to be used in production systems and will help detecting memory leaks in production environments without constraint to the source of the leak. Architecture of the proposed approach is intended to use in cloud applications.
dc.identifier.citation CLOSER 2011 - Proceedings of the 1st International Conference on Cloud Computing and Services Science
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/9346
dc.subject Byte code instrumentation
dc.subject Cloud computing
dc.subject Java™ virtual machine
dc.subject Tools
dc.subject Troubleshooting
dc.title A statistical approach for identifying memory leaks in cloud applications
dc.type Conference Proceeding. Conference Paper
dspace.entity.type
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