Team-based agents for proactive failure handling in dynamic composition of Web services

Author

Fan, Xiaocong ; Umapathy, Karthikeyan ; Yen, John ; Purao, Sandeep

Author_Institution

Sch. of Inf. Sci. & Technol., Penn State Univ., University Park, PA, USA

fYear

2004

fDate

6-9 July 2004

Firstpage

782

Lastpage

785

Abstract

Currently Web services composition problems are addressed using AI planning techniques. The team-based approach, with emphases on the sharing of mental models and proactive collaboration, provides an alternative to current static approaches to Web service composition. The approach provides clear advantages for proactive handling of failures that may be encountered during execution of a complex Web service. The paper proposes a generic framework for dynamic Web-service composition, and extends the CAST architecture to realize the framework.

Keywords

Internet; multi-agent systems; planning (artificial intelligence); software agents; system recovery; AI planning techniques; CAST agents; CAST architecture; Web service composition; Web service execution; Web services; intelligent agents; mental model sharing; proactive collaboration; proactive failure handling; proactive monitoring; team-based agents; Artificial intelligence; Bridges; Cognitive science; Collaboration; Collaborative work; Condition monitoring; Intelligent agent; Quality of service; Technology planning; Web services;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Services, 2004. Proceedings. IEEE International Conference on

Print_ISBN

0-7695-2167-3

Type

conf

DOI

10.1109/ICWS.2004.1314820

Filename

1314820