DocumentCode :
3178572
Title :
A QoS Description Model for Power Applications Based on SOA
Author :
Qiang, Zhao ; Xiaohong, Chen ; Danyan, Chen
Author_Institution :
Dept. of Comput. Sci. & Technol., North China Electr. Power Univ., Beijing, China
Volume :
3
fYear :
2009
fDate :
25-27 Dec. 2009
Firstpage :
439
Lastpage :
442
Abstract :
PoSOA is an application system for the power information integration, providing based on SOA and one-stop information services to the power users. In this system, there are many services, such as EMS, TMR, WAMS, ERP, etc., that are similar in functional properties but vary in other properties. This makes services selection and replacement difficult. Driven by the requirements of PoSOA, this paper presents a QoS property description model of service-oriented application that helps to customize the description set of QoS properties for different applications and better supports the process of service selection and exception handling of service-oriented applications. The model has been applied in the electric power system. In this paper, combiding with the practical examples of information struction of electric power system, it discusses the design and application of the QoS model of service-oriented application.
Keywords :
Web services; exception handling; power engineering computing; quality of service; QoS description model; SOA; application system; electric power system; exception handling; one-stop information services; power application; power information integration; service-oriented application; Application software; Electricity supply industry; Enterprise resource planning; Management information systems; Medical services; Power system modeling; Quality of service; Semiconductor optical amplifiers; Service oriented architecture; Web services; QoS; Web services; description model; service-oriented Architecture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science-Technology and Applications, 2009. IFCSTA '09. International Forum on
Conference_Location :
Chongqing
Print_ISBN :
978-0-7695-3930-0
Electronic_ISBN :
978-1-4244-5423-5
Type :
conf
DOI :
10.1109/IFCSTA.2009.347
Filename :
5384919
Link To Document :
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