Usage-based dynamic pricing of Web services for optimizing resource allocation

被引:1
作者
Lin Z. [1 ]
Ramanathan S. [2 ]
Zhao H. [3 ]
机构
[1] Rawls College of Business Administration, Texas Tech University, Lubbock
[2] Institute of Research Information Management, Texas Tech University, Lubbock
[3] School of Business Administration, University of Wisconsin-Milwaukee, Milwaukee, WI 53217
关键词
Incentive compatibility; QoS; Resource allocation; Resource pricing; Web services;
D O I
10.1007/s10257-005-0018-1
中图分类号
学科分类号
摘要
Web services technology is becoming an important technological trend in Web application development and integration. Based on open standards, such as SOAP, WSDL, and UDDI, Web services allow Web-based applications to communicate with each other through standardized XML messaging and to form loosely coupled distributed systems. Although the open feature of Web services benefits service providers in servicing consumers, the unlimited computing resources access of Web services to network bandwidth, storage throughput, and CPU time may lead to overexploitation of the resources when applications based on the Web services technology are widely accepted. Therefore, it is critical to optimize the operation of Web services, subject to the QoS requirements of service requests, to assure the total benefits of the service providers and the service consumers. This paper proposes a usage-based dynamic pricing approach to optimizing resource allocation of Web services in the principle of economics, and reports on a pilot implementation demonstrating the technical feasibility of the proposed approach. © Springer-Verlag 2005.
引用
收藏
页码:221 / 242
页数:21
相关论文
共 39 条
[1]  
Abramson D., Buyya R., Giddy J., A computational economy for grid computing and its implementation in the nimrod-g resource broker, Future Gen. Comput. Syst., 18, 8, pp. 1061-1074, (2002)
[2]  
Allman M., Paxson V., Stevens W., TCP congestion control, (1999)
[3]  
Bakalova R., Chow A., Fricano C., Jain P., Kodali N., Poirier D., Sankaran S., Shupp D., WebSphere dynamic cache: Improving J2EE application performance, IBM Syst. J., 43, 2, pp. 351-370, (2004)
[4]  
Barta P., Nemeth F., Szabo R., Biro J., Call admission control in generalized processor sharing schedulers with tight deterministic delay bounds, Comput. Commun., 26, 2, pp. 65-78, (2003)
[5]  
Blake S., Black D., Carlson M., Davies E., Wang Z., Weiss W., An architecture for differentiated services, (1998)
[6]  
Braden R., Zhang L., Berson S., Herzog S., Jamin S., Resource reservation protocol (RSVP) - Version 1 functional specification, (1997)
[7]  
Buyya R., Stockinger H., Giddy J., Abramson D., Economic models for management of resources in grid computing, Proceedings of International Conference on Commercial Applications for High-performance Computing, (2001)
[8]  
Chen M., An analysis of the driving forces for the adoption of web services, Proceedings of the Second Workshop on E-business, pp. 173-184, (2003)
[9]  
Christensen E., Curbera F., Meredith G., Weerawarana S., Web services description language (WSDL) 1.1, (2002)
[10]  
Demers S.K., Shenker S., Analysis and simulation of a fair queuing algorithm, Internetworking, Res. Exp., 1, pp. 3-26, (1990)