Browsing by Author "Chun-Lung Huang"

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Core-based agent for service-oriented market
(2006)
Pen-Choug Sun
;
Chun-Lung Huang
;
Kuo-Ming Chao
;
James, Anne
;
Bloor, Chris
The advantages of Service-oriented Architecture for information systems development have increased its popularity and improved service availability over the Internet. In order to maintain its sustainability and prevent users from exploiting free services, a service-oriented market mechanism should be introduced to regulate the market. However, this issue has not been well addressed in the community. In this work, we propose core-based agents that can collect information from service-oriented markets to convince service providers and consumers to form a coalition based on the core concept solution from Game Theory. With the introduction of the agent to the service-oriented market, a number of multiple core markets can be merged into a virtual market with a unique core which satisfies the requirements of stability and efficiency. An example of a travel agent web service, which is a composite web service, will be used to illustrate the roles of the agents in this paper.
Exception diagnosis for agent-oriented services
(2006)
Shah, Nazaraf
;
Chi-Chun Lo
;
Chun-Lung Huang
;
Kuo-Ming Chao
;
Godwin, Nick
Agent oriented architectures and service oriented architectures (SOA) have many features in common such as loose coupling and provision and consumption of services. Software agent systems have been used in many commercial applications due to their attractive attributes such as autonomy, flexibility and; a rich and complex set of interaction protocols. Agents in such systems provide and consume services on behalf of their owners. These systems are prone to various kinds of runtime exceptions due to the dynamic nature of open environments and the different programming models involved in the provision of a particular service. Diagnosis of underlying causes of these exceptions is critical for the successful and reliable operation of agent oriented services. This paper presents and discusses a sentinel agent based approach for diagnosing the underlying causes of runtime exception for agent-oriented services.