QoS computation and policing in dynamic web service selection

ABSTRACT

The emerging Service-Oriented Computing (SOC) paradigm promises to enable businesses and organizations to collaborate in an unprecedented way by means of standard web services. To support rapid and dynamic composition of services in this paradigm, web services that meet requesters' functional requirements must be able to be located and bounded dynamically from a large and constantly changing number of service providers based on their Quality of Service (QoS). In order to enable quality-driven web service selection, we need an open, fair, dynamic and secure framework to evaluate the QoS of a vast number of web services. The fair computation and enforcing of QoS of web services should have minimal overhead but yet able to achieve sufficient trust by both service requesters and providers. In this paper, we presented our open, fair and dynamic QoS computation model for web services selection through implementation of and experimentation with a QoS registry in a hypothetical phone service provisioning market place application.

REFERENCES

• 1: Boualem Benatallah and Fabio Casati, editors. Distributed and Parallel Database, Special issue on Web Services. Springer-Verlag, 2002.
• 2: Peter Farkas and Hassan Charaf. Web services planning concepts. Journal of WSCG, 11(1), February 2003.
• 3: Li jie Jin and Vijay Machirajuand Akhi Sahai. Analysis on Service Level Agreement of Web Services. Technical Report HPL-2002-180, Software Technology Laboratories, HP Laboratories, June 2002.
• 4: E. Michael Maximilien , Munindar P. Singh, Conceptual model of web service reputation, ACM SIGMOD Record, v.31 n.4, December 2002 [doi>10.1145/637411.637417]
• 5: E. Michael Maximilien , Munindar P. Singh, Reputation and endorsement for web services, ACM SIGecom Exchanges, v.3 n.1, p.24-31, Winter, 2002 [doi>10.1145/844331.844335]
• 6: Daniel A. Menascé, QoS Issues in Web Services, IEEE Internet Computing, v.6 n.6, p.72-75, November 2002 [doi>10.1109/MIC.2002.1067740]
• 7: Justin O'Sullivan , David Edmond , Arthur Ter Hofstede, What's in a Service?, Distributed and Parallel Databases, v.12 n.2-3, p.117-133, September-November 2002 [doi>10.1023/A:1016547000822]
• 8: M. P. Papazoglou , D. Georgakopoulos, Introduction, Communications of the ACM, v.46 n.10, October 2003 [doi>10.1145/944217.944233]
• 9: Shuping Ran, A model for web services discovery with QoS, ACM SIGecom Exchanges, v.4 n.1, p.1-10, Spring, 2003 [doi>10.1145/844357.844360]
• 10: Amit Sheth, Jorge Cardoso, John Miller, and Krys Kochut. Qos for service-oriented middleware. In Proceedings of the 6th World Multiconference on Systemics, Cybernetics abd Informatics (SCI02), pages 528--534, July 2002.
• 11: Aad van Moorsel. Metrics for the Internet Age: Quality of Experience and Quality of Business. Technical Report HPL-2001-179, HP Labs, August 2001. Also published in 5th Performability Workshop, September 2001, Erlangen, Germany.
• 12: Liangzhao Zeng , Boualem Benatallah , Marlon Dumas , Jayant Kalagnanam , Quan Z. Sheng, Quality driven web services composition, Proceedings of the 12th international conference on World Wide Web, May 20-24, 2003, Budapest, Hungary [doi>10.1145/775152.775211]

INDEX TERMS

Primary Classification:
  D. Software
  D.2 SOFTWARE ENGINEERING
      D.2.8 Metrics
          Subjects: Complexity measures

Additional Classification:
  D. Software
  D.2 SOFTWARE ENGINEERING
      D.2.8 Metrics
          Subjects: Performance measures

General Terms:
Algorithms, Experimentation, Management

Keywords:
QoS, extensible QoS model, ranking of QoS, web services