@inproceedings{75010253d3ef489192d5bd2d9a90071e,
title = "Service matching and composition considering correlations among cloud services",
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 = "Cloud manufacturing, Quality of service, Service correlation, Service reservation",
author = "Li, {Hui Fang} and Lei Zhao and Zhang, {Bai Hai} and Li, {Jian Qiang}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 ; Conference date: 09-10-2015 Through 12-10-2015",
year = "2016",
month = jan,
day = "12",
doi = "10.1109/SMC.2015.100",
language = "English",
series = "Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "509--514",
booktitle = "Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015",
address = "United States",
}