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Optimal Web Service Selection Based on Network Distance and Web Service Performance


Affiliations
1 Computer Network Department, G.H. Raisoni College of Engineering and Management, Wagholi, Pune, India
2 Computer Engineering Department, G.H. Raisoni College of Engineering and Management, Wagholi, Pune, India
 

The last decade has witnessed a tremendous growth of web services. web services are enabling organizations to use web as a market for selling their own web services. Nevertheless, it becomes more difficult to find the most appropriate web service that satisfies users’ functional and non-functional requirements. Most of the former works in web service selection treat the QoS values as constants. However, QoS values of a service as perceived by a given user are intrinsically random. Proposed method mentioned is a novel approach to select the optimal web service considering response time and network latency using Hidden Markov Model.

Keywords

Web Service, QOS (Quality of Service), Hidden Markov Model (HMM), Response Time, Network Latency, Optimal Web Service.
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  • ii Z. Zheng, H. Ma, M. R. Lyu, and I. King, “QoS-aware web service recommendation by collaborative filtering,” IEEE Trans. Services Comput., vol. 4, pp. 140-152, 2011. http://ieeexplore.ieee.org/document/5674010

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  • iv Y. Xu, J. Yin, and W. Lo, “A unified framework of QoS-based web service recommendation with neighborhood-extended matrix factorization,” in Proc. 6th IEEE Int. Conf. Service Oriented Computing and Applications (SOCA 2013), 2013, pp. 198-205. http://ieeexplore.ieee.org/document/6717306/

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  • vi M. Tang, Y. Jiang, J. Liu, and X. Liu, “Location-aware collaborative filtering for QoS-based service recommendation,” in Proc. Int. Conf. Web Services, 2012, pp. 202-209. http://ieeexplore.ieee.org/document/6257808/

  • vii W. Lo, J. Yin, S. Deng, Y. Li, and Z. Wu, “Collaborative web service QoS prediction with location-based regularization,” in Proc. IEEE 19th Int. Conf. Web Services, 2012, pp. 464-471. http://ieeexplore.ieee.org/document/6257841/

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  • xi http://ieeexplore.ieee.org/document/6649560/

  • xii M. Tang, Z. Zheng, G. Kang, J. Liu, Y. Yang, T. Zhang "Collaborative Web Service Quality Prediction via Exploiting Matrix Factorization and Network Map" IEEE, 2016. http://ieeexplore.ieee.org/document/7378981/

  • xiii W. Ahmed, Y. Wu, and W. Zheng "Response Time Based Optimal Web Service Selection" IEEE 2015. http://ieeexplore.ieee.org/document/6684156/


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  • Optimal Web Service Selection Based on Network Distance and Web Service Performance

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Authors

Dipti Gumfawar
Computer Network Department, G.H. Raisoni College of Engineering and Management, Wagholi, Pune, India
Manjushri Mahajan
Computer Engineering Department, G.H. Raisoni College of Engineering and Management, Wagholi, Pune, India

Abstract


The last decade has witnessed a tremendous growth of web services. web services are enabling organizations to use web as a market for selling their own web services. Nevertheless, it becomes more difficult to find the most appropriate web service that satisfies users’ functional and non-functional requirements. Most of the former works in web service selection treat the QoS values as constants. However, QoS values of a service as perceived by a given user are intrinsically random. Proposed method mentioned is a novel approach to select the optimal web service considering response time and network latency using Hidden Markov Model.

Keywords


Web Service, QOS (Quality of Service), Hidden Markov Model (HMM), Response Time, Network Latency, Optimal Web Service.

References