DocumentCode
237688
Title
Development of a private cloud-based new-generation virtual metrology system
Author
Min-Hsiung Hung ; Yu-Chuan Lin ; Hsien-Cheng Huang ; Chia-Chun Tu ; Fan-Tien Cheng
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Chinese Culture Univ., Taipei, Taiwan
fYear
2014
fDate
18-22 Aug. 2014
Firstpage
910
Lastpage
915
Abstract
Automatic virtual metrology (AVM) is the highest-level technology for VM applications from the perspective of automation. The existing PC-server-based AVM systems suffer several limitations, such as being incapable of parallel processing, having no high-availability and fault-tolerance consideration, etc. The new model of IT usage and advantage offered by the emerging cloud computing can bring commercial benefits to industries. In this paper, we based on private cloud architecture and virtualization technology to develop a novel cloud-based AVM system for overcoming the shortcomings of the existing AVM system. Integrated test results in a case study applying the AVM system to perform VM tasks for semiconductor equipment show that the proposed cloud-based AVM system could demonstrate a significant performance improvement over the existing PC-based AVM system, while achieving the similar prediction accuracy. This paper can be a useful reference for industrial practitioners to construct cloud-based equipment monitoring systems.
Keywords
cloud computing; computerised monitoring; control engineering computing; measurement; production engineering computing; semiconductor device manufacture; software quality; virtual machines; virtualisation; IT usage; PC-server-based AVM systems; VM tasks; automatic virtual metrology; cloud computing; cloud-based AVM system; cloud-based equipment monitoring systems; private cloud architecture; private cloud-based new-generation virtual metrology system; production quality prediction; semiconductor equipment; virtualization technology; Cloud computing; Computer architecture; IP networks; Metrology; Servers; Virtual machining; XML;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Science and Engineering (CASE), 2014 IEEE International Conference on
Conference_Location
Taipei
Type
conf
DOI
10.1109/CoASE.2014.6899434
Filename
6899434
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