Etchiali Abdelhak
ABSTRACT
Web service selection is one of the core tasks of the service-oriented computing paradigm. The QoS variations of services constitute a major obstacle in computing value-added compositions that fulfill the users' requirements. In this paper, we propose a range voting approach that selects the best compositions for a given user's request in a limited time. The key idea consists of choosing the median interval that represents the QoS attributes of each service; after that, the representative intervals are compared to select the best services. The conducted experiments show that the proposed approach is able to provide reliable and effective results.
- Michel Balinski and Rida Laraki. 2007. A theory of measuring, electing, and ranking. Proceedings of the National Academy of Sciences 104, 21 (2007), 8720--8725.Google Scholar
Cross Ref
- Amina Bekkouche, Sidi Mohammed Benslimane, Marianne Huchard, Chouki Tibermacine, Fethallah Hadjila, and Mohammed Merzoug. 2017. QoS-aware optimal and automated semantic web service composition with userâĂŹs constraints. Service Oriented Computing and Applications 11, 2 (2017), 183--201.Google ScholarDigital Library
- Houcine Belouaar, Okba Kazar, and Khaled Rezeg. 2017. Web service selection based on TOPSIS algorithm. In 2017 International Conference on Mathematics and Information Technology (ICMIT). IEEE, 177--182.Google ScholarCross Ref
- Liping Chen and Weitao Ha. 2018. Reliability prediction and QoS selection for web service composition. International Journal of Computational Science and Engineering 16, 2 (2018), 202--211.Google ScholarCross Ref
- Zahira Chouiref, Abdelkader Belkhir, Karim Benouaret, and Allel Hadjali. 2016. A fuzzy framework for efficient user-centric Web service selection. Applied Soft Computing 41 (2016), 51--65.Google ScholarDigital Library
- Hadjila Fethallah, Belabed Amine, and Halfaoui Amel. 2015. Hybrid web service discovery based on fuzzy condorcet aggregation. In East European Conference on Advances in Databases and Information Systems. Springer, 415--427.Google ScholarCross Ref
- Amal Halfaoui, Fethallah Hadjila, and Fedoua Didi. 2015. Qos-aware web services selection based on fuzzy dominance. In IFIP International Conference on Computer Science and its Applications. Springer, 291--300.Google ScholarCross Ref
- Amal Halfaoui, Fethallah Hadjila, and Fedoua Didi. 2018. QoS-aware web service selection based on self-organising migrating algorithm and fuzzy dominance. International Journal of Computational Science and Engineering 17, 4 (2018), 377--389.Google ScholarCross Ref
- Victoria Hodge and Jim Austin. 2004. A survey of outlier detection methodologies. Artificial intelligence review 22, 2 (2004), 85--126.Google Scholar
- San-Yih Hwang, Chien-Ching Hsu, and Chien-Hsiang Lee. 2015. Service selection for web services with probabilistic QoS. IEEE transactions on services computing 8, 3 (2015), 467--480.Google ScholarCross Ref
- Foued Jrad, Jie Tao, Achim Streit, Rico Knapper, and Christoph Flath. 2015. A utility--based approach for customised cloud service selection. International Journal of Computational Science and Engineering 10, 1-2 (2015), 32--44.Google ScholarDigital Library
- Minjung Kim, Byungkook Oh, Jooik Jung, and Kyong-Ho Lee. 2016. Outlier-robust web service selection based on a probabilistic QoS model. International Journal of Web and Grid Services 12, 2 (2016), 162--181.Google ScholarDigital Library
- Merzoug Mohammed, Mohammed Amine Chikh, and Hadjila Fethallah. 2014. QoS-aware web service selection based on harmony search. In 2014 4th International Symposium ISKO-Maghreb: Concepts and Tools for knowledge Management (ISKO-Maghreb). IEEE, 1--6.Google ScholarCross Ref
- Dieter Schuller, Ulrich Lampe, Julian Eckert, Ralf Steinmetz, and Stefan Schulte. 2012. Cost-driven optimization of complex service-based workflows for stochastic QoS parameters. In 2012 IEEE 19th International Conference on Web Services. IEEE, 66--73.Google ScholarDigital Library
- Sherry X Sun and Jing Zhao. 2012. A decomposition-based approach for service composition with global QoS guarantees. Information Sciences 199 (2012), 138--153.Google ScholarDigital Library
- Remaci Zeyneb Yasmina, Hadjila Fethallah, and Didi Fedoua. 2018. Selecting Web Service Compositions Under Uncertain QoS. In Computational Intelligence and Its Applications: 6th IFIP TC 5 International Conference, CIIA 2018, Oran, Algeria, May 8-10, 2018, Proceedings 6. Springer, 622--634.Google Scholar
- Qi Yu and Athman Bouguettaya. 2010. Computing service skyline from uncertain qows. IEEE Transactions on Services Computing 3, 1 (2010), 16--29.Google ScholarDigital Library
- Shaoqian Zhang, Wanchun Dou, and Jinjun Chen. 2013. Selecting top-k composite web services using preference-aware dominance relationship. In 2013 IEEE 20th International Conference on Web Services. IEEE, 75--82.Google ScholarDigital Library
- Huiyuan Zheng, Weiliang Zhao, Jian Yang, and Athman Bouguettaya. 2013. QoS analysis for web service compositions with complex structures. IEEE Transactions on Services Computing 6, 3 (2013), 373--386.Google ScholarDigital Library
Recommendations
Efficient web service selection with uncertain QoS
The QoS-based service selection in a highly dynamical environment is becoming a challenging issue. In practice, the QoS fluctuations of a service composition entail major difficulties in measuring the degree to which the user requirements are satisfied. ...
QoS Uncertainty Filtering for Fast and Reliable Web Service Selection
ICWS '14: Proceedings of the 2014 IEEE International Conference on Web ServicesHow to select the optimal composited service from a set of functionally equivalent services but different QoS attributes has become a hot research in service computing. However existing approaches are inefficient as they search all solution spaces. More ...
QoS broker-based trust model for effective web service selection
SEA '07: Proceedings of the 11th IASTED International Conference on Software Engineering and ApplicationsService Oriented Architecture (SOA) has become a promising paradigm for software development due to its benefits in cost-efficiency, agility, and adaptability. One of the most important research topics in SOA is to identify appropriate web services for ...
Comments