Name
Abstract | ||
|---|---|---|
Information Management Systems that outsource part of the functionality to other (likely unknown) services need an effective way to communicate with these services, so that a mutually beneficial solution can be generated. This includes bargaining for their optimal customizations and the discovery of overlooked potential solutions. In this article, we present an automated negotiation framework for information systems (denoted as WebNeg) that can be used by both the parties for conducting negotiations. WebNeg uses a Genetic Algorithm (GA)-based approach for finding acceptable solutions in multiparty and multiobjective scenarios. The GA is enhanced using a new operator called Norm, which represents the cumulative knowledge of all the parties involved in the negotiation process. Norm incorporates the dependencies of different quality attributes of independently developed component services for the system composition. This enables WebNeg to find a better solution in the context of the current requirements. Experiment results indicate the applicability and improved performance of WebNeg (in comparison with existing similar works) in facilitating the negotiation management involved in a web service-based information composition process. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2893187 | ACM Trans. Management Inf. Syst. |
Keywords | Field | DocType |
Negotiation management,web service,genetic algorithm | Information system,Management information systems,Computer science,Quality of service,Outsourcing,Operator (computer programming),Web service,Database,Genetic algorithm,Negotiation,Distributed computing | Journal |
Volume | Issue | ISSN |
7 | 2 | 2158-656X |
Citations | PageRank | References |
5 | 0.43 | 57 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Khayyam Hashmi | 1 | 44 | 7.93 |
| Zaki Malik | 2 | 501 | 34.83 |
| Erfan Najmi | 3 | 22 | 3.14 |
| Amal Alhosban | 4 | 29 | 4.91 |
| Brahim Medjahed | 5 | 1077 | 73.34 |