Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Quality of service measure approach of web service for service selection

Quality of service measure approach of web service for service selection

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Software — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

© The Institution of Engineering and Technology
Published

Quality of service (QoS) is critical for service customers to select suitable web services for business applications in open web environment. However, since QoS are often influenced by several factors, traditional approaches are not very efficient and effective in measuring QoS of web service. The authors introduce in this study a novel QoS measure approach to efficiently measure QoS of web service for web service selection. The core of this approach is to take the three factors, that is, service providers, the context of customers and historical statistics into QoS measure. The experimental results demonstrate that the proposed approach is efficient and effective in measuring QoS of web service.

Inspec keywords: quality of service; statistics; Web services; business data processing

Other keywords: service provider; service customer; open Web environment; business application; customer context; quality-of-service measure approach; QoS measure; historical statistics; Web service selection

Subjects: Business and administrative computing; Internet software; Other topics in statistics

References

    1. 1)
    2. 2)
      • Li, F., Yang, F., Shuang, K., Su, S.: `A policy-driven distributed framework for monitoring quality of web services', Proc. Int. Conf. Web Services (ICWS’08), September 2008, Beijing, China, p. 708–715.
    3. 3)
      • ITU-T Rec. E.800: ‘Terms and definitions related to quality of service and network performance including dependability’, 2008.
    4. 4)
    5. 5)
      • Z. Li , F. Yang , S. Su . QoS-aware semantic web service composition with uncertainties. Chin. J. Electron. , 4 , 703 - 709
    6. 6)
      • Jurca, R., Faltings, B., Binder, W.: `Reliable QoS monitoring based on client feedback', Proc. Int. Conf. World Wide Web (WWW’07), May 2007, Banff, Alberta, Canada, p. 1003–1012.
    7. 7)
      • Pei, L., Comerio, M., Maurino, A., De Paoli, F.: `An approach to non-functional property evaluation of web services', Proc. Int. Conf. Web Services (ICWS’09), July 2009, Los Angeles, United States, p. 1004–1005.
    8. 8)
    9. 9)
    10. 10)
      • Le Hung, V., Aberer, K.: `Towards probabilistic estimation of quality of online services', Proc. Int. Conf. Web Services (ICWS’09), July 2009, Los Angeles, United States, p. 99–106.
    11. 11)
      • Plestys, R., Vilutis, G., Sandonavicius, D., Vaskeviciute, R., Kavaliunas, R.: `The measurement of grid QoS parameters', Proc. Int. Conf. Information Technology Interfaces (ITI’07), June 2007, Dubrovnik, Croatia, p. 703–707.
    12. 12)
      • Engelbrecht, G., Bisbal, J., Benkner, S., Frangi, A.F.: `Towards negotiable SLA-based QoS support for biomedical data services', Proc. Int. Conf. Grid Computing (GRID’10), October 2010, Brussels, Belgium, p. 259–265.
    13. 13)
    14. 14)
    15. 15)
    16. 16)
      • Alrifai, M., Risse, T.: `Combining global optimization with local selection for efficient QoS-aware service composition', Proc. Int. Conf. World Wide Web (WWW’09), April 2009, New York, United States, p. 881–890.
    17. 17)
    18. 18)
    19. 19)
      • T.L. Satty . (1980) The analytic hierarchy process.
    20. 20)
    21. 21)
      • ISO9000:2000, IS08402:1986: ‘Quality vocabulary’, 2000. Available at: http://www.shere2000.co.uk/pdf/isovocab.pdf.
    22. 22)
    23. 23)
    24. 24)
      • Chhetri, M.B., Vo, B.Q., Kowalczyk, R.: `Policy-based management of QoS in service aggregations', Proc. Int. Conf. Cluster, Cloud and Grid Computing (CCGrid’10), May 2010, Melbourne, Australia, p. 593–595.
    25. 25)
    26. 26)
      • Zhiang, W., Junzhou, L.: `The measurement model of grid QoS', Proc. Int. Conf. Computer Supported Cooperative Work in Design (CSCWD’06), May 2006, Nanjing, China, p. 1–6.
    27. 27)
      • Li, F., Yang, F., Shuang, K., Su, S.: `Q-peer: a decentralized QoS registry architecture for web services', Proc. Int. Conf. Service-Oriented Computing (ICSOC’07), September 2007, Vienna, Austria, p. 145–156.
    28. 28)
    29. 29)
      • Guoquan, W., Jun, W., Xiaoqiang, Q., Lei, L.: `A Bayesian network based QoS assessment model for web services', Proc. Int. Conf. Services Computing (SCC’07), September 2007, Ghent, Belgium, p. 498–505.
    30. 30)
    31. 31)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-sen.2010.0093
Loading

Related content

content/journals/10.1049/iet-sen.2010.0093
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Print this page
This is a required field
Please enter a valid email address