Enhancing web service selection using enhanced filtering model

The upward trends in web service providers, consumers as well as web services pose remarkable challenges in the area of web service description, discovery and selection. While remarkable works have been done in web service discovery, selection still remains an area of challenge. Therefore, emphasis...

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Main Author: Ajao, Tajudeen Adeyemi
Format: Thesis
Language:English
Published: 2013
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Online Access:http://eprints.utm.my/id/eprint/37083/5/AjaoTajudeenAdeyemiMFSKSM2013.pdf
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spelling my.utm.370832017-07-11T01:40:58Z http://eprints.utm.my/id/eprint/37083/ Enhancing web service selection using enhanced filtering model Ajao, Tajudeen Adeyemi TK5015.888 Web sites The upward trends in web service providers, consumers as well as web services pose remarkable challenges in the area of web service description, discovery and selection. While remarkable works have been done in web service discovery, selection still remains an area of challenge. Therefore, emphasis is being placed on how to find an optimal service that satisfies requester’s functional and non-functional requirements. Majority of the existing approaches either ignore the role of user's non-functional requirements or place unnecessary burden on the requester to provide weights for QoS parameters having specified QoS constraints while others assigned arbitrary value of zero to the weight(s) of parameter(s) not specify in the constraints by requesters. All these have the tendency of generating bias results. This research work proposes an enhanced method for selecting optimal service for requesters using Enhanced QoS-based Web Service Filtering Model. The approach of this work differs from the previous approaches in that user’s preferences are taken into count, and the weights are derived from the constraints specified by the user. The methodology used involves exploiting requester’s specified QoS constraints to remove those services that failed in meeting those constraints from the list of services that match his functional requirement. The QoS of the filtered services are normalized using min-max method. The QoS score for each service is computed, and finally, the services are ranked in order of their QoS performance. The service with the highest QoS performance is then returned as best service to the requester. Experiments are conducted using Quality of Web Services datasets and the results confirm the model’s ability for selecting best web service based on requester’s preferences while out performing previous approaches. The outcome of this research could be adopted for solving service-oriented selection problems 2013-06 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/37083/5/AjaoTajudeenAdeyemiMFSKSM2013.pdf Ajao, Tajudeen Adeyemi (2013) Enhancing web service selection using enhanced filtering model. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computing. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69190?site_name=Restricted Repository
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK5015.888 Web sites
spellingShingle TK5015.888 Web sites
Ajao, Tajudeen Adeyemi
Enhancing web service selection using enhanced filtering model
description The upward trends in web service providers, consumers as well as web services pose remarkable challenges in the area of web service description, discovery and selection. While remarkable works have been done in web service discovery, selection still remains an area of challenge. Therefore, emphasis is being placed on how to find an optimal service that satisfies requester’s functional and non-functional requirements. Majority of the existing approaches either ignore the role of user's non-functional requirements or place unnecessary burden on the requester to provide weights for QoS parameters having specified QoS constraints while others assigned arbitrary value of zero to the weight(s) of parameter(s) not specify in the constraints by requesters. All these have the tendency of generating bias results. This research work proposes an enhanced method for selecting optimal service for requesters using Enhanced QoS-based Web Service Filtering Model. The approach of this work differs from the previous approaches in that user’s preferences are taken into count, and the weights are derived from the constraints specified by the user. The methodology used involves exploiting requester’s specified QoS constraints to remove those services that failed in meeting those constraints from the list of services that match his functional requirement. The QoS of the filtered services are normalized using min-max method. The QoS score for each service is computed, and finally, the services are ranked in order of their QoS performance. The service with the highest QoS performance is then returned as best service to the requester. Experiments are conducted using Quality of Web Services datasets and the results confirm the model’s ability for selecting best web service based on requester’s preferences while out performing previous approaches. The outcome of this research could be adopted for solving service-oriented selection problems
format Thesis
author Ajao, Tajudeen Adeyemi
author_facet Ajao, Tajudeen Adeyemi
author_sort Ajao, Tajudeen Adeyemi
title Enhancing web service selection using enhanced filtering model
title_short Enhancing web service selection using enhanced filtering model
title_full Enhancing web service selection using enhanced filtering model
title_fullStr Enhancing web service selection using enhanced filtering model
title_full_unstemmed Enhancing web service selection using enhanced filtering model
title_sort enhancing web service selection using enhanced filtering model
publishDate 2013
url http://eprints.utm.my/id/eprint/37083/5/AjaoTajudeenAdeyemiMFSKSM2013.pdf
http://eprints.utm.my/id/eprint/37083/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69190?site_name=Restricted Repository
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score 13.154949