Semantic Constraint and QoS-Aware Large-Scale Web Service Composition
Service-oriented architecture facilitates the running time of interactions by using business integration on the networks. Currently, web services are considered as the best option to provide Internet services. Due to an increasing number of Web users and the complexity of users’ queries, simple and...
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| Format: | Article |
| Language: | English |
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Shahrood University of Technology
2019-03-01
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| Series: | Journal of Artificial Intelligence and Data Mining |
| Subjects: | |
| Online Access: | http://jad.shahroodut.ac.ir/article_1259_66b08d3fab7721a950c9b30a427c42a9.pdf |
| _version_ | 1817989074147868672 |
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| author | E. Shahsavari S. Emadi |
| author_facet | E. Shahsavari S. Emadi |
| author_sort | E. Shahsavari |
| collection | DOAJ |
| description | Service-oriented architecture facilitates the running time of interactions by using business integration on the networks. Currently, web services are considered as the best option to provide Internet services. Due to an increasing number of Web users and the complexity of users’ queries, simple and atomic services are not able to meet the needs of users; and to provide complex services, it requires service composition. Web service composition as an effective approach to the integration of business institutions’ plans has taken significant acceleration. Nowadays, web services are created and updated in a moment. Therefore, in the real world, there are many services which may not have composability according to the conditions and constraints of the user's preferred choice. In the proposed method for automatic service composition, the main requirements of users including available inputs, expected outputs, quality of service, and the priority are initially and explicitly specified by the user and service composition is done with this information. In the proposed approach, due to a large number of services with the same functionality, at first, the candidate services are reduced by the quality of service-based Skyline method, and moreover, by using an algorithm based on graph search, all possible solutions will be produced. Finally, the user’s semantic constraints are applied on service composition, and the best composition is offered according to user’s requests. The result of this study shows that the proposed method is more scalable and efficient, and it offers a better solution by considering the user’s semantic constraints. |
| first_indexed | 2024-04-14T00:42:30Z |
| format | Article |
| id | doaj.art-8be423b8a75248679816d1b469250b82 |
| institution | Directory Open Access Journal |
| issn | 2322-5211 2322-4444 |
| language | English |
| last_indexed | 2024-04-14T00:42:30Z |
| publishDate | 2019-03-01 |
| publisher | Shahrood University of Technology |
| record_format | Article |
| series | Journal of Artificial Intelligence and Data Mining |
| spelling | doaj.art-8be423b8a75248679816d1b469250b822022-12-22T02:22:09ZengShahrood University of TechnologyJournal of Artificial Intelligence and Data Mining2322-52112322-44442019-03-017118119010.22044/jadm.2018.5487.16591259Semantic Constraint and QoS-Aware Large-Scale Web Service CompositionE. Shahsavari0S. Emadi1Department of Computer Engineering, Yazd Branch, Islamic Azad University, Yazd, Iran.Department of Computer Engineering, Yazd Branch, Islamic Azad University, Yazd, Iran.Service-oriented architecture facilitates the running time of interactions by using business integration on the networks. Currently, web services are considered as the best option to provide Internet services. Due to an increasing number of Web users and the complexity of users’ queries, simple and atomic services are not able to meet the needs of users; and to provide complex services, it requires service composition. Web service composition as an effective approach to the integration of business institutions’ plans has taken significant acceleration. Nowadays, web services are created and updated in a moment. Therefore, in the real world, there are many services which may not have composability according to the conditions and constraints of the user's preferred choice. In the proposed method for automatic service composition, the main requirements of users including available inputs, expected outputs, quality of service, and the priority are initially and explicitly specified by the user and service composition is done with this information. In the proposed approach, due to a large number of services with the same functionality, at first, the candidate services are reduced by the quality of service-based Skyline method, and moreover, by using an algorithm based on graph search, all possible solutions will be produced. Finally, the user’s semantic constraints are applied on service composition, and the best composition is offered according to user’s requests. The result of this study shows that the proposed method is more scalable and efficient, and it offers a better solution by considering the user’s semantic constraints.http://jad.shahroodut.ac.ir/article_1259_66b08d3fab7721a950c9b30a427c42a9.pdfService compositionWeb servicesSkyline servicesQualitative parametersService |
| spellingShingle | E. Shahsavari S. Emadi Semantic Constraint and QoS-Aware Large-Scale Web Service Composition Journal of Artificial Intelligence and Data Mining Service composition Web services Skyline services Qualitative parameters Service |
| title | Semantic Constraint and QoS-Aware Large-Scale Web Service Composition |
| title_full | Semantic Constraint and QoS-Aware Large-Scale Web Service Composition |
| title_fullStr | Semantic Constraint and QoS-Aware Large-Scale Web Service Composition |
| title_full_unstemmed | Semantic Constraint and QoS-Aware Large-Scale Web Service Composition |
| title_short | Semantic Constraint and QoS-Aware Large-Scale Web Service Composition |
| title_sort | semantic constraint and qos aware large scale web service composition |
| topic | Service composition Web services Skyline services Qualitative parameters Service |
| url | http://jad.shahroodut.ac.ir/article_1259_66b08d3fab7721a950c9b30a427c42a9.pdf |
| work_keys_str_mv | AT eshahsavari semanticconstraintandqosawarelargescalewebservicecomposition AT semadi semanticconstraintandqosawarelargescalewebservicecomposition |