An Execution Framework for Domain-Oriented QoS Evaluation of Manufacturing Cloud Services

2014 ◽  
Vol 596 ◽  
pp. 127-130
Author(s):  
Hong Jin ◽  
Xi Fan Yao ◽  
Jie Zhang

Cloud manufacturing is emerging as a new intelligent and collaborative manufacturing model. With the development of virtualization technology, the manufacturing resources can be encapsulated as manufacturing cloud services (MCSs). The accuracy of service quality evaluation is the key to selecting a MCS from many available ones with similar functions but different QoS, but existing QoS evaluation models only focuses on common service attributes, which cannot meet user needs. Hence, this paper presents an execution framework for domain-oriented QoS evaluation for MCSs. Four function modules for domain-oriented QoS evaluation of MCSs were analyzed, and the involving key technologies were discussed as well.

2011 ◽  
Vol 201-203 ◽  
pp. 681-684 ◽  
Author(s):  
Chun Quan Li ◽  
Chun Yang Hu ◽  
Yan Wei Wang

A method of virtualization technology of manufacturing resources was analyzed and designed in Cloud Manufacturing environment toward the new type of networked manufacturing. Diverse-grained information such as the abstract, description, interface, packages have been put forward on basis of resource virtualization technology of manufacturing grid in order to implement resource virtualization. Virtualization of manufacturing hardware and software resources were mainly analyzed and researched in this paper. The primary research shows that this resource virtualization technology of Cloud Manufacturing can provide an important basis and premise for the further development of Cloud Manufacturing theory.


2014 ◽  
Vol 109 ◽  
pp. 1303-1308 ◽  
Author(s):  
Maria-Cristiana Munthiu ◽  
Bogdan Călin Velicu ◽  
Mihaela Tuţă ◽  
Adina Iulia Zara

2011 ◽  
Vol 314-316 ◽  
pp. 2259-2262 ◽  
Author(s):  
Hua Guo ◽  
Lin Zhang ◽  
Fei Tao

As a new manufacturing paradigm, cloud manufacturing (CMfg) is proposed to realize the added-value and on-demand use of manufacturing resource and ability in the form of manufacturing services. Considering that there always exist correlations among cloud services (CS), which affect the cloud service composition (CSC). Hence, how to mine the correlations among CSs and apply them to CSC is a key issue for realizing the added-value. This paper presents a framework for correlation relationship mining for CSC. Four function modules for mining correlations among CSs are analyzed, and the involving key issues were preliminarily discussed as well.


2021 ◽  
Vol 187 ◽  
pp. 601-606
Author(s):  
Zhicheng Xu ◽  
Xiang Li ◽  
Wanyin Xiong ◽  
Qixiao Lin ◽  
Jian Mao

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