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Authors: Fatma Rhimi ; Saloua Ben Yahia and Ben Ahmed Samir

Affiliation: Faculty of Sciences and University of Carthage, Tunisia

ISBN: 978-989-758-115-1

Keyword(s): Fuzzy Logic, Optimization, Skyline, Web Services Composition.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Cloud Computing ; Paradigm Trends ; Service Interoperability, Matching and Composition ; Services ; Services Science ; Software Engineering

Abstract: Service composition is emerging as an effective solution to ensure the integration of multiple atomic web services in order to create value-added customized services. However, the exploding number of the deployed service candidates that is constantly increasing makes the process of choosing the best service candidates an important challenge. When there are multiple web services that offer the same functionalities, we need to select the best one according to its non-functional criteria (e.g. response time, price, reliability). Skyline is a technique that helps reducing the size of our search space and comes as a complementary approach to the optimization methods. In fact, Skyline consists in preselecting the best candidates in the search space according to their non-functional criteria. Those web services are considered optimal as they are not dominated by any other point in the search space. Therefore, we will eliminate all the irrelevant web services which will considerably reduce th e complexity of the computation. Most of the current Skyline computation relies on a strict dominance relationship called Pareto-dominance. In this paper, we propose a new method to compute the Skyline points with a fuzzy approach which allows taking into consideration the users preferences. We will through this paper show how we could construct a consistent fuzzy model to overcome the shortcomings of web service composition computation. A detailed study of the approach will demonstrate the effectiveness and the efficiency of the proposed algorithm. (More)

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Paper citation in several formats:
Rhimi, F.; Ben Yahia, S. and Samir, B. (2015). Novel Approach for Computing Skyline Services with Fuzzy Consistent Model for QoS- based Service Composition.In Proceedings of the 10th International Conference on Software Paradigm Trends - Volume 1: ICSOFT-PT, (ICSOFT 2015) ISBN 978-989-758-115-1, pages 135-143. DOI: 10.5220/0005499901350143

@conference{icsoft-pt15,
author={Fatma Rhimi. and Saloua Ben Yahia. and Ben Ahmed Samir.},
title={Novel Approach for Computing Skyline Services with Fuzzy Consistent Model for QoS- based Service Composition},
booktitle={Proceedings of the 10th International Conference on Software Paradigm Trends - Volume 1: ICSOFT-PT, (ICSOFT 2015)},
year={2015},
pages={135-143},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005499901350143},
isbn={978-989-758-115-1},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Software Paradigm Trends - Volume 1: ICSOFT-PT, (ICSOFT 2015)
TI - Novel Approach for Computing Skyline Services with Fuzzy Consistent Model for QoS- based Service Composition
SN - 978-989-758-115-1
AU - Rhimi, F.
AU - Ben Yahia, S.
AU - Samir, B.
PY - 2015
SP - 135
EP - 143
DO - 10.5220/0005499901350143

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