Title :
A combination of services QoS model customized for choosing design and implementation
Author :
Ma, Lin ; Song, Junde ; Zhang, Xiaoqi ; Haihong, E. ; Wang, Qian ; Qu, Haitao
Author_Institution :
PCN&CAD Center, Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Web service is an application program, which is based on internet, distributed, self-included, self-described and modular. It possesses the attributes of well encapsulation and loose coupling. With the prevailing of Web service, how to select a set of services among large body of services with the same function in order to make the Composite Web Service achieve better performance and better quality is a hot issue in recent research. At the same time, with the dynamic environment of the Internet and business, it is difficult to choose the better and more precise service for the simple and static service choice model .So the dynamic choice of web service is quite important for the task. AS the research of Web Service gets deeper and deeper, the single service can´t meet the need of the client. As the result, the Composite Web Service which can provide value-added functions has received a lot of attentions. So, the Web Service Composition emerges as the times require. In the study of QoS thesis analyzes current QoS models´ advantages and disadvantages, which proposes a new, objective, reliable QoS model called the Dynamic QoS model (D-QoS model). There is a way which supports the management in the thesis. The approach is based on genetic algorithm and uses the D-QoS model to solve the composite optimization, there is a diminutive system in which we could prove that the model is feasible and ensure the deep popularization of the model.
Keywords :
Web services; data encapsulation; genetic algorithms; quality of service; QoS thesis; application program; composite Web service; composite optimization; diminutive system; dynamic QoS model; dynamic environment; encapsulation; genetic algorithm; internet; services QoS model customized; static service choice model; value-added functions; Availability; Costs; Encapsulation; Forward contracts; Genetic algorithms; Measurement standards; Quality of service; Scalability; Web and internet services; Web services; Composite Web Service; Dynamic service choice; QoS model; Service Expectation;
Conference_Titel :
Pervasive Computing (JCPC), 2009 Joint Conferences on
Conference_Location :
Tamsui, Taipei
Print_ISBN :
978-1-4244-5227-9
Electronic_ISBN :
978-1-4244-5228-6
DOI :
10.1109/JCPC.2009.5420120