A STATISTICAL APPROACH FOR IDENTIFYING MEMORY LEAKS IN CLOUD APPLICATIONS

Vladimir Šor, Satish Narayana Srirama

Abstract

This position paper describes the attempt to automate the statistical approach for memory leak detection in JavaTM 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.

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Paper Citation


in Harvard Style

Šor V. and Narayana Srirama S. (2011). A STATISTICAL APPROACH FOR IDENTIFYING MEMORY LEAKS IN CLOUD APPLICATIONS . In Proceedings of the 1st International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-8425-52-2, pages 623-628. DOI: 10.5220/0003389906230628


in Bibtex Style

@conference{closer11,
author={Vladimir Šor and Satish Narayana Srirama},
title={A STATISTICAL APPROACH FOR IDENTIFYING MEMORY LEAKS IN CLOUD APPLICATIONS},
booktitle={Proceedings of the 1st International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2011},
pages={623-628},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003389906230628},
isbn={978-989-8425-52-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - A STATISTICAL APPROACH FOR IDENTIFYING MEMORY LEAKS IN CLOUD APPLICATIONS
SN - 978-989-8425-52-2
AU - Šor V.
AU - Narayana Srirama S.
PY - 2011
SP - 623
EP - 628
DO - 10.5220/0003389906230628