Self-Adjusting Trust and Selection for Web Services

Author

Maximilien, E. Michael ; Singh, Munindar P.

Author_Institution

IBM Almaden Res. Center, San Jose, CA

fYear

2005

fDate

13-16 June 2005

Firstpage

385

Lastpage

386

Abstract

Service-oriented architectures enable services to be dynamically selected and integrated at runtime, thus enabling system flexibility and adaptiveness - autonomic attributes that are key for modern business needs. However, current techniques provide no support for actually making rational selections, which are key to accomplishing autonomic behavior. We develop a multiagent framework based on an ontology for QoS and a new model of trust. The agents form an ecosystem in which they help each other select services best matching their preferences. We evaluate by simulation the agents´ effectiveness in maintaining self-adjusting trust

Keywords

Internet; multi-agent systems; ontologies (artificial intelligence); quality of service; security of data; QoS; Web service selection; agent ecosystem; agent preference; autonomic attributes; autonomic behavior; multiagent system; ontology; quality of service; rational selection; runtime service integration; service-oriented architectures; system adaptiveness; system flexibility; trust model; trust self-adjustment; Computational modeling; Computer science; Doping; Ecosystems; Energy management; Ontologies; Quality of service; Service oriented architecture; Software systems; Web services;

fLanguage

English

Publisher

ieee

Conference_Titel

Autonomic Computing, 2005. ICAC 2005. Proceedings. Second International Conference on

Conference_Location

Seattle, WA

Print_ISBN

0-7965-2276-9

Type

conf

DOI

10.1109/ICAC.2005.53

Filename

1498107