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Predicting Data Access Patterns in Object-Oriented Applications Based on Markov Chains

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2 Author(s)
Garbatov, S. ; Software Eng. Group, Inst. de Eng. de Sist. e Comput. Investigacao e Desenvolvimento, INESC-id, Lisbon, Portugal ; Cachopo, J.

This work aims to create an innovative system for analyzing and predicting the behaviour of object-oriented applications, with respect to the domain objects they manipulate, based on Markov Chains. The results are validated by the execution of the TPC-W and oo7 benchmarks. The oo7 benchmark has been modelled as a stochastic process through Monte Carlo simulations. The system is sufficiently flexible to be applied to a broad spectrum of object-oriented applications. The results are precise, regarding the observed behaviour, and the overheads introduced by the data acquisition are low.

Published in:

Software Engineering Advances (ICSEA), 2010 Fifth International Conference on

Date of Conference:

22-27 Aug. 2010