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An approach to web service selection based on composite QOS parameters

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Języki publikacji
EN
Abstrakty
EN
Quality of service (QoS) is an important attribute for selecting a service during the service composition process. Although availability and reliability have been considered as the predominant factors for estimating reputation, two aspects are missing in the literature. First, their use is limited to composite service level and does not count on the atomic level. Second, their combined effect is not evaluated. Better estimation of QoS can be done with both factors considered together, whereas when taken separately for computing reputation, availability will give the probability of a service being up/running and reliability will analyze the change in failure trend of that service. In this research, a mathematical modeling of predominant QoS factors, availability and reliability of atomic services using Markov Chain model and Weibull analysis respectively, are suggested. Also importance of modeling reputation as an aggregation of availability and reliability has been explained. This research concludes two results. First, counting on probability of a service being up/running and its failure trend, together, results in a better estimation of its behavior and helps selecting the most appropriate one. Second, this resulted in selection of a service with higher reputation but lower usage cost, as opposed to using a single factor that resulted in higher reputation with higher cost.
Twórcy
autor
  • Student, Sari Branch, Islamic Azad University, Sari, Iran
autor
  • Sari Branch, Islamic Azad University, Sari, Iran
Bibliografia
  • 1. Singh R.P., Pattanaik K.K. An approach to composite QoS parameter based web service selection. The 4th International Conference on Ambient Systems, Networks and Technologies ANT 2013. Procedia Computer Science 19, 2013, 470–477.
  • 2. Rajeswari M., Sambasivam G., Balaji N., Basha M.S.S., Vengattaraman T., Dhavachelvan P. Appraisal and analysis on various web service composition approaches based on QoS factors. Journal of King Saud University – Computer and Information Sciences 26, 2014, 143–152.
  • 3. Rostami M., Mohamadi M., Yaghoubi F., Nikrouz M. A proposed model for the standardization of web services discovery results using static and dynamic parameters. First National Conference on Electrical and Computer South of Iran, Khurmuj, 2013.
  • 4. Mohammadi N., Mohsenzadeh M., Dezful M.A. Service discovery based on QoS parameters and service reputation. 3rd Iranian Conference on Electrical and Electronics Engineering, ICEEE 2011.
  • 5. Parsa S., Aqdasinia H. An extensible quantitative model for the dynamic web services discovery. 16th Iranian Conference on Electrical and Electronics Engineering, ICEEE 2008.
  • 6. Khoshtarash A., Kheirkhah I., Jahan M.V. Evaluation and comparison of web service discovery and selection methods by syntactic and semantic procedures. 1st National Conference on Applications of Intelligent Systems (Soft Computing) in Science and Technology, Islamic Azad Univercity of Quchan Branch, 4-5 March, 2013.
  • 7. Rostami M., Malazizi L., Dejdar S. Provide a protocol to ensure reliable messaging between web services. 2nd Conference on Computer, IT, Electrical and Electronic Engineering 2012.
  • 8. Khoshtarash A., Mahmoudzadeh M., Abedini T., Mohammadzadeh J., Rahmanian S. An efficient ranking model based on qos for web service selection with consideration of user requirements. 1st National Conference on Applications of Intelligent Systems (Soft Computing) in Science and Technol-ogy, Islamic Azad Univercity of Quchan Branch, 4-5 March, 2013.
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  • 10. Khoshtarash A., Kheirkhah I., Jahan M.V. Evaluation of ranking methods for discovery and selection of optimum web service. 1st National Conference on Applications of Intelligent Systems (Soft Computing) in Science and Technology, Islamic Azad Univercity of Quchan Branch, 4-5, March, 2013.
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  • 13. Abernethy R.B. The weibull analysis handbook. 5nd ed., Robert B. Abernethy, Florida 2006.
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  • 16. Al-Sharawneh J., Williams M.A., Goldbaum D. Web service reputation prediction based on cus¬tomer feedback forecasting model. 14th IEEE International Enterprise Distributed Object Computing Conference Workshops 2010, 33–40.
  • 17. Benaboud R., Maamri R., Sahnoun Z.. Towards scalability of reputation and qos based web services discovery using agents and ontologies. Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services, ACM, 2011, 262–269.
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  • 19. Chia-Feng Lin, Ruey-Kai Sheu, Yue-Shan Chang, Shyan-Ming Yuan. A relaxable service selection algorithm for QoS-based web service composition. Information and Software Technology 53(12), 2011, 1370–1381.
  • 20. Esfahani P.M., Broumandnia A. Clustering web services based on the qualitative features. The First National Conference on New Approaches in Computer Engineering and Information Retrieval, Iran, 2013.
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  • 22. Sha L., A QoS based Web service selection model. Proceedings of the International Forum on Information Technology and Applications, Chengdu, 2009, 353–356.
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  • 24. Chifu V.R., Salomie I., Dinsoreanu M., David T., Acretoaie V. Antinspired technique for automatic web service composition and selection. 12th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2010.
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  • 29. Zheng H., Yang J., Zhao W. Probability distribution-based QoS analysis for web service composition. [In:] Dickson Chiu et al. (eds.) Web Information Systems Engineering WISE 2010 Workshops, Lecture Notes in Computer Science, 6724, 98111, 2011.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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