DocumentCode :
2974022
Title :
A framework for MGrid resource service optimal-selection and composition
Author :
Tao, F. ; Zhang, L. ; Zhao, D.
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
fYear :
2009
fDate :
8-11 Dec. 2009
Firstpage :
110
Lastpage :
114
Abstract :
The problem of resource service optimal-selection and composition (RSOSC) in manufacturing grid (MGrid) system is proposed. Based on the authors´ previous work, a framework for addressing RSOSC problem in MGrid system is presented. The framework consists of five layers: (1) task layer-responsible for MGrid task decomposition, (2) resource service match and search layer-responsible for searching the qualified resource service according to each decomposed subtask´s requirements, (3) resource service QoS processing layer-responsible for collecting QoS information for each candidate resource service, as well as QoS evaluation, comparison, monitor, updating, (4) resource service optimal-selection layer-responsible for evaluating and ranking the candidate resource service for each subtask, and (5) resource service composition layer- responsible for resource service composition and optimal-selection.
Keywords :
resource allocation; service industries; MGrid resource service optimal selection; MGrid task decomposition; QoS information collection; manufacturing grid system; resource service QoS processing layer; resource service composition layer; resource service match; resource service optimal; search layer; task layer; Computer aided manufacturing; Computer integrated manufacturing; Grid computing; Information management; Manufacturing automation; Manufacturing processes; Monitoring; Quality of service; Resource management; Virtual manufacturing; Manufacturing grid (MGrid); optimal-selection and composition; resource service;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4869-2
Electronic_ISBN :
978-1-4244-4870-8
Type :
conf
DOI :
10.1109/IEEM.2009.5373415
Filename :
5373415
Link To Document :
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