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Authors: Nima Sharifimehr and Samira Sadaoui

Affiliation: University Of Regina, Canada

ISBN: 978-989-8111-07-4

Keyword(s): Object pool service, markov model, prediction, automatic tuning, workload modeling, enterprise applications.

Related Ontology Subjects/Areas/Topics: Applications ; Data Engineering ; Engineering Information System ; Enterprise Information Systems ; Information Retrieval ; Information Systems Analysis and Specification ; Ontologies and the Semantic Web ; Pattern Recognition ; Software Engineering

Abstract: One of the most challenging concerns in the development of enterprise software systems is how to manage effectively and efficiently available resources. Object pooling service as a resource management facility significantly improves the performance of application servers. However, tuning object pool services is a complicated task that we address here through a predictive automatic approach. Based on dynamic markov models, which capture high-order temporal dependencies and locally optimize the required length of memory, we find patterns across object invocations that can be used for prediction purposes. Subsequently, we propose an effective automatic tuning solution, with reasonable time costs, which takes advantage of past and future information about activities of object pool services. Afterwards, we present experimental results which demonstrate the scalability and effectiveness of our novel tuning solution, namely predictive automatic tuning service.

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Paper citation in several formats:
Sharifimehr N.; Sadaoui S. and (2007). A PREDICTIVE AUTOMATIC TUNING SERVICE FOR OBJECT POOLING BASED ON DYNAMIC MARKOV MODELING.In Proceedings of the Second International Conference on Software and Data Technologies - Volume 2: ICSOFT, ISBN 978-989-8111-07-4, pages 38-45. DOI: 10.5220/0001329700380045

@conference{icsoft07,
author={Nima Sharifimehr and Samira Sadaoui},
title={A PREDICTIVE AUTOMATIC TUNING SERVICE FOR OBJECT POOLING BASED ON DYNAMIC MARKOV MODELING},
booktitle={Proceedings of the Second International Conference on Software and Data Technologies - Volume 2: ICSOFT,},
year={2007},
pages={38-45},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001329700380045},
isbn={978-989-8111-07-4},
}

TY - CONF

JO - Proceedings of the Second International Conference on Software and Data Technologies - Volume 2: ICSOFT,
TI - A PREDICTIVE AUTOMATIC TUNING SERVICE FOR OBJECT POOLING BASED ON DYNAMIC MARKOV MODELING
SN - 978-989-8111-07-4
AU - Sharifimehr, N.
AU - Sadaoui, S.
PY - 2007
SP - 38
EP - 45
DO - 10.5220/0001329700380045

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