An approximation approach to discovering web services for uncertain client’s QOS preference

It is paramount to provide seamless and ubiquitous access to rich contents available online to interested users via a wide range of devices with varied characteristics. However, mobile devices accessing these rich contents are constrained by different capabilities e.g., display size, thus resultin...

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Main Authors: Md. Fudzee, Mohd Farhan, Kasim, Shahreen, Mahdin, Hairulnizam, Ramli, Azizul, Salamat, Mohamad Aizi, Abawajy, Jemal
Format: Article
Language:en
Published: Asian Research Publishing Network (ARPN) 2016
Subjects:
Online Access:http://eprints.uthm.edu.my/4323/1/AJ%202016%20%2842%29.pdf
http://eprints.uthm.edu.my/4323/
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author Md. Fudzee, Mohd Farhan
Kasim, Shahreen
Mahdin, Hairulnizam
Ramli, Azizul
Salamat, Mohamad Aizi
Abawajy, Jemal
author_facet Md. Fudzee, Mohd Farhan
Kasim, Shahreen
Mahdin, Hairulnizam
Ramli, Azizul
Salamat, Mohamad Aizi
Abawajy, Jemal
author_sort Md. Fudzee, Mohd Farhan
building UTHM Library
collection Institutional Repository
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
continent Asia
country Malaysia
description It is paramount to provide seamless and ubiquitous access to rich contents available online to interested users via a wide range of devices with varied characteristics. However, mobile devices accessing these rich contents are constrained by different capabilities e.g., display size, thus resulting poor browsing experiences e.g., unorganized layout. Recently, a service-oriented content adaptation (SOCA) scheme has emerged to address this content-device mismatch problem. In this scheme, content adaptation functions are provided as services by multiple providers. This elevates service discovery as an important problem. A QoS-based service discovery approach has been proposed and widely used to matchmaking the client QoS preference with the service advertised QoS. Most of these solutions assume that the client’s QoS is known a priori. However, these approaches suffer from unknown or partially specified client QoS. In this paper, we propose an approximation approach to deal with QoS uncertainty. Our solution considers the statistical approach to discover the suitable content adaptation services. The performance analysis verifies that our approach performs reasonably well.
format Article
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institution Universiti Tun Hussein Onn Malaysia
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publishDate 2016
publisher Asian Research Publishing Network (ARPN)
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spelling my.uthm.eprints-43232021-12-02T03:31:04Z http://eprints.uthm.edu.my/4323/ An approximation approach to discovering web services for uncertain client’s QOS preference Md. Fudzee, Mohd Farhan Kasim, Shahreen Mahdin, Hairulnizam Ramli, Azizul Salamat, Mohamad Aizi Abawajy, Jemal QA76 Computer software It is paramount to provide seamless and ubiquitous access to rich contents available online to interested users via a wide range of devices with varied characteristics. However, mobile devices accessing these rich contents are constrained by different capabilities e.g., display size, thus resulting poor browsing experiences e.g., unorganized layout. Recently, a service-oriented content adaptation (SOCA) scheme has emerged to address this content-device mismatch problem. In this scheme, content adaptation functions are provided as services by multiple providers. This elevates service discovery as an important problem. A QoS-based service discovery approach has been proposed and widely used to matchmaking the client QoS preference with the service advertised QoS. Most of these solutions assume that the client’s QoS is known a priori. However, these approaches suffer from unknown or partially specified client QoS. In this paper, we propose an approximation approach to deal with QoS uncertainty. Our solution considers the statistical approach to discover the suitable content adaptation services. The performance analysis verifies that our approach performs reasonably well. Asian Research Publishing Network (ARPN) 2016 Article PeerReviewed text en http://eprints.uthm.edu.my/4323/1/AJ%202016%20%2842%29.pdf Md. Fudzee, Mohd Farhan and Kasim, Shahreen and Mahdin, Hairulnizam and Ramli, Azizul and Salamat, Mohamad Aizi and Abawajy, Jemal (2016) An approximation approach to discovering web services for uncertain client’s QOS preference. ARPN Journal of Engineering and Applied Sciences, 11 (24). pp. 14085-14088. ISSN 1819-6608
spellingShingle QA76 Computer software
Md. Fudzee, Mohd Farhan
Kasim, Shahreen
Mahdin, Hairulnizam
Ramli, Azizul
Salamat, Mohamad Aizi
Abawajy, Jemal
An approximation approach to discovering web services for uncertain client’s QOS preference
title An approximation approach to discovering web services for uncertain client’s QOS preference
title_full An approximation approach to discovering web services for uncertain client’s QOS preference
title_fullStr An approximation approach to discovering web services for uncertain client’s QOS preference
title_full_unstemmed An approximation approach to discovering web services for uncertain client’s QOS preference
title_short An approximation approach to discovering web services for uncertain client’s QOS preference
title_sort approximation approach to discovering web services for uncertain client’s qos preference
topic QA76 Computer software
url http://eprints.uthm.edu.my/4323/1/AJ%202016%20%2842%29.pdf
http://eprints.uthm.edu.my/4323/
url_provider http://eprints.uthm.edu.my/