A QOS-based service retrieval methodology for the digital ecosystems
The emergence of the World Wide Web and its influence on the field of industry, commerce, healthcare etc. has led to an innovative, dynamic, open, collaborative and interactive environment - Digital Ecosystems. Whereas service plays an important role in the Digital Ecosystems, there is no technology...
| Main Authors: | , , |
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| Format: | Journal Article |
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Inderscience Enterprises Ltd
2009
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| Online Access: | http://www.inderscience.com/search/index.php?action=record&rec_id=28345 http://hdl.handle.net/20.500.11937/21461 |
| _version_ | 1848750596637589504 |
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| author | Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth |
| author_facet | Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth |
| author_sort | Dong, Hai |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The emergence of the World Wide Web and its influence on the field of industry, commerce, healthcare etc. has led to an innovative, dynamic, open, collaborative and interactive environment - Digital Ecosystems. Whereas service plays an important role in the Digital Ecosystems, there is no technology available to retrieve the heterogeneous and geographically dispersed services. Additionally, no methodology has been proposed in the literature that can distinguish or rank the services based on the Quality of Services(QoS). In order to address these issues, we propose a semantic service retrieval engine which incorporates a novel semantic QoS evaluation methodology. The salient feature of this methodology, that sets it apart from any other QoS evaluation methodologies, is that the evaluation of the service and the subsequent quantification of QoS is a combination of subjective QoS measures and objective QoS measures. Another salient feature of our proposed methodology is that it enables the domain-specific ranking of services. Finally, an online prototype is implemented to evaluate our methodology, the results of which are discussed in this paper. |
| first_indexed | 2025-11-14T07:39:21Z |
| format | Journal Article |
| id | curtin-20.500.11937-21461 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:39:21Z |
| publishDate | 2009 |
| publisher | Inderscience Enterprises Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-214612017-09-13T15:59:54Z A QOS-based service retrieval methodology for the digital ecosystems Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth service computing CCCI metrics Digital Ecosystems service retrieval quality of services The emergence of the World Wide Web and its influence on the field of industry, commerce, healthcare etc. has led to an innovative, dynamic, open, collaborative and interactive environment - Digital Ecosystems. Whereas service plays an important role in the Digital Ecosystems, there is no technology available to retrieve the heterogeneous and geographically dispersed services. Additionally, no methodology has been proposed in the literature that can distinguish or rank the services based on the Quality of Services(QoS). In order to address these issues, we propose a semantic service retrieval engine which incorporates a novel semantic QoS evaluation methodology. The salient feature of this methodology, that sets it apart from any other QoS evaluation methodologies, is that the evaluation of the service and the subsequent quantification of QoS is a combination of subjective QoS measures and objective QoS measures. Another salient feature of our proposed methodology is that it enables the domain-specific ranking of services. Finally, an online prototype is implemented to evaluate our methodology, the results of which are discussed in this paper. 2009 Journal Article http://hdl.handle.net/20.500.11937/21461 10.1504/IJWGS.2009.028345 http://www.inderscience.com/search/index.php?action=record&rec_id=28345 Inderscience Enterprises Ltd fulltext |
| spellingShingle | service computing CCCI metrics Digital Ecosystems service retrieval quality of services Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth A QOS-based service retrieval methodology for the digital ecosystems |
| title | A QOS-based service retrieval methodology for the digital ecosystems |
| title_full | A QOS-based service retrieval methodology for the digital ecosystems |
| title_fullStr | A QOS-based service retrieval methodology for the digital ecosystems |
| title_full_unstemmed | A QOS-based service retrieval methodology for the digital ecosystems |
| title_short | A QOS-based service retrieval methodology for the digital ecosystems |
| title_sort | qos-based service retrieval methodology for the digital ecosystems |
| topic | service computing CCCI metrics Digital Ecosystems service retrieval quality of services |
| url | http://www.inderscience.com/search/index.php?action=record&rec_id=28345 http://hdl.handle.net/20.500.11937/21461 |