Optimal location and pricing of Web services intermediary

The Web services technology allows for the distribution and integration of loosely coupled software components over the Internet. This paper studies the optimal pricing and location strategy of a Web service intermediary (WSI), which offers a time-sensitive composite Web service. We first derive the optimal solution in a linear city model and then extend the analyses to the more general unit circle model. Our analyses show that that the optimal strategy is determined by delay cost, integration cost, and prices of the constituent Web services. We find that the WSI is optimally located between the Web service providers and charges a penetration price if the delay cost is low. In addition, there could be multiple optimal locations for the WSI if the Web service providers are far away from each other.

[1]  Bo Li,et al.  On the optimal placement of web proxies in the Internet , 1999, IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320).

[2]  James Snell,et al.  Introduction to Web services architecture , 2002, IBM Syst. J..

[3]  D. Erlenkotter.  Facility Location with Price-Sensitive Demands: Private, Public, and Quasi-Public , 1977 .

[4]  Christopher Ferris,et al.  What are Web services? , 2003, CACM.

[5]  Lili Qiu,et al.  On the placement of Web server replicas , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[6]  Jesper M. Johansson,et al.  The effects of parallel processing on update response time in distributed database design , 2000, ICIS.

[7]  Yi Sun,et al.  A location model for web services intermediaries , 2003 .

[8]  Andrew B. Whinston,et al.  Smart marketplaces: a step beyond Web services , 2003, Inf. Syst. E Bus. Manag..

[9]  Jesper M. Johansson.  On the impact of network latency on distributed systems design , 2000, Inf. Technol. Manag..