Self-interested Service-Oriented Agents Based on Trust and QoS for Dynamic Reconfiguration

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

Rodrigues, N (Author) Other; Leitao, P (Author) Other; Eugénio Oliveira (Author) FEUP

Conference proceedings International

Title: SERVICE ORIENTATION IN HOLONIC AND MULTI-AGENT MANUFACTURING

Pages: 209-218

4th International Workshop on Service Orientation in Holonic and Multiagent Manufacturing (SOHOMA)

Nancy, FRANCE, NOV 05-06, 2014

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 1 Citation

Other information

Authenticus ID: P-00A-6GQ

DOI: 10.1007/978-3-319-15159-5_20

Abstract (EN): Progressively increasing complexity of dynamic environments, in which services and applications are demanded by potential clients, requires a high level of reconfiguration of the offer to better match that ever changing demand. In particular, the dynamic change of the client's needs, leading to higher exigency, may require a smart and flexible automatic composition of more elementary services. By leveraging the service-oriented architectures and multi-agent system benefits, the paper proposes a method to explore the flexibility of the decision support for the services' reconfiguration based on several pillars, such as trust, reputation and QoS models, which allows the selection based on measuring the expected performance of the agents. Preliminary experimental results, extracted from a real case scenario, allow highlighting the benefits of the proposed distributed and flexible solution to balance the workload of service providers in a simple and fast manner. The proposed solution includes the agents' intelligent decision-making capability to dynamically and autonomously change services selection on the fly, towards more trustworthy services with better quality when unexpected events happen, e.g. broken machines. We then propose the use of competitive self-interested agents to provide services that best suits to the client through dynamic service composition.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10