De Gyves Avila, S and Djemame, K (2014) Proactive adaptation in service composition using a fuzzy logic based optimization mechanism. In: Helfert, M, Desprez, F, Ferguson, D, Leymann, F and Muñoz, VM, (eds.) Proceedings of the 4th International Conference on Cloud Computing and Services Science. CLOSER 2014, 03-05 Apr 2014, Barcelona, Spain. SCITEPRESS (Science and Technology Publications, Lda) , pp. 257-267. ISBN 978-989-758-019-2
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 %.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Keywords: | Web Service Composition, Proactive Adaptation, Fuzzy Logic, Optimization, Quality of Service |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Institute for Computational and Systems Science (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 10 May 2016 14:42 |
Last Modified: | 05 Jun 2016 00:57 |
Published Version: | http://dx.doi.org/10.5220/0004820902570267 |
Status: | Published |
Publisher: | SCITEPRESS (Science and Technology Publications, Lda) |
Identification Number: | 10.5220/0004820902570267 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:92880 |