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Authors: Silvana de Gyvés Avila and Karim Djemame

Affiliation: University of Leeds, United Kingdom

ISBN: 978-989-758-019-2

Keyword(s): Web Service Composition, Proactive Adaptation, Fuzzy Logic, Optimization, Quality of Service.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Process Management ; Cloud Computing ; Collaboration and e-Services ; Data Engineering ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Mobile Software and Services ; Ontologies and the Semantic Web ; Service Composition and Mashups ; Services Science ; Software Agents and Internet Computing ; Software Engineering ; Software Engineering Methods and Techniques ; Symbolic Systems ; Telecommunications ; Web Services ; Wireless Information Networks and Systems

Abstract: The importance of Quality of Service management in service oriented environments has brought the need of QoS aware solutions. Proactive adaptation approaches enable composite services to detect in advance, according to their QoS values, the need for a change in order to prevent upcoming problems, and maintain the functional and quality levels of the composition. This paper presents a proactive adaptation mechanism that implements self-optimization based on fuzzy logic. The optimization model uses two fuzzy inference systems that evaluate the QoS values of composite services, based on historical and freshly collected data, and decide if adaptation is needed or not. Experimental results show significant improvements in the global QoS of the use case scenarios, providing reductions of up to 8.9% in response time and 14.7% in energy consumption, and an improvement of 41% in availability; this is achieved with an average increment in cost of 11.75 %.

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Paper citation in several formats:
de Gyvés Avila, S. and Djemame, K. (2014). Proactive Adaptation in Service Composition using a Fuzzy Logic Based Optimization Mechanism.In Proceedings of the 4th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-019-2, pages 257-267. DOI: 10.5220/0004820902570267

@conference{closer14,
author={Silvana de Gyvés Avila. and Karim Djemame.},
title={Proactive Adaptation in Service Composition using a Fuzzy Logic Based Optimization Mechanism},
booktitle={Proceedings of the 4th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2014},
pages={257-267},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004820902570267},
isbn={978-989-758-019-2},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Proactive Adaptation in Service Composition using a Fuzzy Logic Based Optimization Mechanism
SN - 978-989-758-019-2
AU - de Gyvés Avila, S.
AU - Djemame, K.
PY - 2014
SP - 257
EP - 267
DO - 10.5220/0004820902570267

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