DocumentCode :
3727995
Title :
Service Matching and Composition Considering Correlations among Cloud Services
Author :
Hui-Fang Li;Lei Zhao;Bai-Hai Zhang;Jian-Qiang Li
Author_Institution :
Sch. of Autom., Beijing Inst. of Technol., Beijing, China
fYear :
2015
Firstpage :
509
Lastpage :
514
Abstract :
Cloud manufacturing transforms scattered resources and capabilities supplied by entity enterprise into integrated manufacturing cloud services, which can be realized through composing different services. A complete candidate service set is the foundation of developing a composite service with higher quality. In order to improve QoS (Quality of Service) of the composite service, the correlations between services are considered and then classified in the whole composition process. However, considering the correlation in composition process but ignoring it during matching process, such as the existing methods about service correlation, will affect QoS of the composite service. In this paper, an extended service modelling is proposed to describe service correlations, and then a reservation algorithm is designed to reserve services with correlation in service matching stage so as to make the composite service much better than before. Simulation results demonstrate the effectiveness of our model and algorithm.
Keywords :
"Correlation","Quality of service","Business","Manufacturing","Indexes","Cloud computing","Automation"
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/SMC.2015.100
Filename :
7379232
Link To Document :
بازگشت