A formal treatment of distributed matchmaking (poster)
AGENTS '98 Proceedings of the second international conference on Autonomous agents
What makes Internet users visit cyber stores again? key design factors for customer loyalty
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Cost-Benefit Analysis in Information Systems Development and Operation
ACM Computing Surveys (CSUR)
Matchmaking for autonomous agents in electronic marketplaces
Proceedings of the fifth international conference on Autonomous agents
An improvement to matchmaking algorithms for middle agents
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Design and evaluation of a conit-based continuous consistency model for replicated services
ACM Transactions on Computer Systems (TOCS)
Integrating Document and Workflow Management Tools using XML and Web Technologies: A Case Study
CSMR '02 Proceedings of the 6th European Conference on Software Maintenance and Reengineering
Modeling of E-negotiation Activities with Petri Nets
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 1 - Volume 1
A Primitive Study of Logrolling in e-Negotiation
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track1 - Volume 1
Resource Management through Multilateral Matchmaking
HPDC '00 Proceedings of the 9th IEEE International Symposium on High Performance Distributed Computing
ARC: A Bottom-Up Approach to Negotiated QoS
WMCSA '00 Proceedings of the Third IEEE Workshop on Mobile Computing Systems and Applications (WMCSA'00)
Capturing web services provider constraints: an algorithmic approach
CBSE'07 Proceedings of the 10th international conference on Component-based software engineering
Best web service selection based on the decision making between qos criteria of service
ICESS'05 Proceedings of the Second international conference on Embedded Software and Systems
ICESS'04 Proceedings of the First international conference on Embedded Software and Systems
Bid-Based approach for pricing web service
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
Hi-index | 0.00 |
A Web service is an autonomous unit of application logic that provides either some business functionality or information to other applications through an Internet connection. Web services discovery is the process of finding most appropriate Web services providers needed by a Web services requestor. One of the important issues in the discovery process is for Web services providers and Web services requestors to negotiate and find an integrative solution that is optimal to both sides. Web services providers use resources to provide services to requestors in return for benefits. On the other hand, Web services requestors pay for services from providers in return for benefits as well. In this scenario, both parties should have their own cost-benefit models for making such a business decision. In convention, fixed pricing strategies are used for Internet-related business models such as online bookstores. However, these may not be suitable in some business models. For example, data mining services are always one-of-a-kind services, expensive and non-repetitive that usually require a more sophisticated business model. Therefore, sophisticated Web services providers should provide a list of trade-off alternatives between the Quality of Service (QoS) they offer and the Cost of Service (CoS) they use to requestors. In this model, the QoS relates to performance-oriented capabilities and the CoS relates to services' resource requirements. To achieve an integrative solution, both parties have to evaluate the list of QoS and CoS alternatives for obtaining an appropriate combination. One of the negotiation strategies for achieving integrative solutions is called logrolling. Traditionally logrolling in two-issue (i.e., the QoS and CoS) and two-party (i.e., the Web services provider and requestor) negotiation is defined as the exchange of loss in one issue for gain in other issues that result in an increase of the overall values for both parties. It means that each party can increase the overall value by trading the less preferred issue for the more preferred, provided that a trade-off ratio is satisfactory. This paper presents a token-based approach to quantify the QoS and CoS for achieving integrative solutions.