NDLI: A combination of services QoS model customized for choosing design and implementation

Content Provider	IEEE Xplore Digital Library
Author	Lin Ma Junde Song Xiaoqi Zhang Haihong E. Qian Wang Haitao Qu
Copyright Year	2009
Description	Author affiliation: PCN&CAD Center, Beijing University of Posts and Telecommunications, 100876, China (Lin Ma; Junde Song; Xiaoqi Zhang; Haihong E; Qian Wang; Haitao Qu)
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.
Starting Page	567
Ending Page	572
File Size	6972145
Page Count	6
File Format	PDF
ISBN	9781424452279
DOI	10.1109/JCPC.2009.5420120
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-03
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Encapsulation Availability Costs QoS model Scalability Service Expectation Quality of service Genetic algorithms Web services Measurement standards Forward contracts Web and internet services Dynamic service choice Composite Web Service
Content Type	Text
Resource Type	Article

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