Title :
SOA Services Modeling Based on Turing Machine
Author :
Xiangbing Zhou ; Wenquan Wu
Author_Institution :
Dept. of Comput. Sci., Aba Teachers´ Coll., Pixian
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;
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
DOI :
10.1109/IITA.2008.356
