Abstract
Web Services provides a systematize way to integrate web applications over an internet protocol. As numerous web services exist in the internet, selecting appropriate web service is vital in many web service applications. Quality of Service (QoS) is the predominant parameter which is used for selecting a web service in terms of their quality. Based on user’s preference for service quality, services are ranked and best web services are selected. But the difficulty with this approach is that it is strenuous to precisely define QoS property. Hence an enhanced fuzzy multi attribute decision making algorithm for web service selection is presented in this paper. The proposed method periodically collects user’s feedback to update the web service QoS ranking. Experimental results show that the proposed method can satisfy service requester’s non-functional requirements.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Sommerville J (2006) Software engineering, 8th edn. Addison Wesley, Boston
Erl T (2005) Service-oriented architecture: concepts, technology, and design. Prentice Hall, Englewood Cliffs
Gwo-Hshiung T (2010) Multiple attribute decision making: methods and applications. Multiple Attribute Decision Making: Methods and Applications
Wang J, Hwang W-L (2007) A fuzzy set approach for R&D portfolio selection using a real options valuation model. Omega 35(3):247–257
David B (2004) Web services architecture. W3C working group note 11, February, W3C technical reports and publications
Zeng L (2004) QoS-aware middle for web services composition. IEEE Trans Softw Eng (IEEE Press, NJ USA)
Ramakishnan M, Suchithra M (2013)A Review on semantic web service discovery algorithm. Intl J Soft Comput 8(4)
Tran VX, Tsuji H (2008) QoS based Ranking for web services: fuzzy approaches. In: 4th international conference on next generation web services practices, Seoul, Republic of Korea, pp 77–82, 20–22 Oct 2008
Önüt S, Kara SS, Işik E (2009) Long term supplier selection using a combined fuzzy MCDM approach: a case study for a telecommunication company. Expert Syst Appl 36(2):3887–3895
Huang CL, Lo CC, Chao KM, Younas M (2007) Reaching consensus: a moderated fuzzy web services discovery method. Inf Softw Technol 48(6)
Huang C-L et al (2005) A consensus-based service discovery. First international workshop on design of service-oriented applications, Amsterdam, 12–14 Dec 2005
Xiong P, Fan Y (2007) QoS-aware web service selection by a synthetic weight. In: FSKD proceedings of the fourth international conference on fuzzy systems and knowledge discovery, vol 03
Hu R et al (2011) WSRank: a method for web service ranking in cloud environment. In: IEEE ninth international conference on dependable, autonomic and secure computing (DASC), IEEE
Zeng L, Benatallah B, Dumas M, Kalagnanam J, Sheng QZ (2003) Quality driven web services composition. In: Proceedings on WWW
Canfora G, Penta MD, Esposito R, Villani ML (2005) An approach for QoS-aware service composition based on genetic algorithms. In: Proceedings on GECCO
Canfora G, Penta MD, Esposito R, Perfetto F, Villani ML (2006) Service composition (re)binding driven by application-specific QoS. In: Proceedings on ICSOC
Nguyen XT, Kowalczyk R, Han J (2006) Using dynamic asynchronous aggregate search for quality guarantees of multiple web services compositions. In: Proceedings on ICSOC
Sathya M, Swarnamugi M, Dhavachelvan P, Sureshkumar G (2010) Evaluation of qos based webservice selection techniques for service composition. Int J Software Eng 1(5):73–90
Zheng Z et al (2011) Qos-aware web service recommendation by collaborative filtering. IEEE Trans Serv Comput 4(2):140–152
O’Sullivan J, Edmond D, Hofstede AHMT (2005) What’s in a service? Distrib Parallel Databases
ITU-T Rec. E.800 (2008) Terms and definitions related to quality of service and network performance including dependability
Wang S, Sun Q, Yang F (2012) Quality of service measure approach of web service for service selection. IET Softw
Subashini S, Kavitha V (2011) A survey on security issues in service delivery models of cloud computing. J Netw Comput Appl 34(1):1–11, 5
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer India
About this paper
Cite this paper
Suchithra, M., Ramakrishnan, M. (2016). Non Functional QoS Criterion Based Web Service Ranking. In: Suresh, L., Panigrahi, B. (eds) Proceedings of the International Conference on Soft Computing Systems. Advances in Intelligent Systems and Computing, vol 398. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2674-1_8
Download citation
DOI: https://doi.org/10.1007/978-81-322-2674-1_8
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-2672-7
Online ISBN: 978-81-322-2674-1
eBook Packages: EngineeringEngineering (R0)