SOA Services Modeling Based on Turing Machine

Author

Xiangbing Zhou ; Wenquan Wu

Author_Institution

Dept. of Comput. Sci., Aba Teachers´ Coll., Pixian

Volume

3

fYear

2008

fDate

20-22 Dec. 2008

Firstpage

225

Lastpage

230

Abstract

In order to solve problems of SOA service modeling, we proposed a method of SOA service modeling based on turing machine, and apply SCA and SDO to implement. Firstly, according to characteristic of SOA, to define some terms of turing machine and build publish/subscribe mechanism of SOA service modeling. Which apply ontology to describe service recognition and apply rough set to sort services (ontology), thus can obtain different event agency as demand, and design dependent and matching degree model among event, adopt neural network genetic algorithm to optimize them. Which provide condition for service modeling based on turing machine. Finally, application showed what is better than tradition in a large scale e-business system (LSEBBS), make SOA service modeling and development framework are more definiteness.

Keywords

Turing machines; genetic algorithms; neural nets; ontologies (artificial intelligence); rough set theory; software architecture; SOA services modeling; large scale e-business system; neural network genetic algorithm; ontology; publish-subscribe mechanism; rough set; service recognition; turing machine; Algorithm design and analysis; Genetic algorithms; Information technology; Large-scale systems; Machine intelligence; Neural networks; Ontologies; Service oriented architecture; Turing machines; Web services; LSEBBS; Publish-Subscribe mechanism; SOA service modelling; Turing Machine; network genetic algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3497-8

Type

conf

DOI

10.1109/IITA.2008.356

Filename

4739992