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TitleAn improvement on load-balancing on Linux Virtual Server for Internet-based laboratory
Creator
Date Issued2016
Conference Name12th IEEE International Conference on Control and Automation, ICCA 2016
Source Publication2016 12th IEEE International Conference on Control and Automation (ICCA)
ISBN9781509017386
ISSN1948-3449
Pages685-689
Conference Date1 June 2016 through 3 June 2016
Conference PlaceKathmandu, Nepal
PublisherIEEE Computer Society
Abstract

In order to make the performance of Electrical Engineering Virtual Lab meet growing customer demand, this paper makes an improvement on the architecture of load-balancing cluster on Linux Virtual Server, and proposes a genetic optimized BP neural network algorithm to improve the currency performance and stability of the cluster. © 2016 IEEE.

Keywordgenetic algorithm optimized BP neural network algorithm Internet-based laboratory Load balance LVS Modelica
DOI10.1109/ICCA.2016.7505358
URLView source
Indexed ByCPCI-S
Language英语English
WOS Research AreaAutomation & Control Systems ; Engineering
WOS SubjectAutomation & Control Systems ; Engineering, Electrical & Electronic
WOS IDWOS:000381734900116
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/4320
CollectionResearch outside affiliated institution
Affiliation
1.College of Electrical Engineering, Zhejiang University, Hangzhou, China
2.Institute for Intelligent Systems, University of Johannesburg, South Africa
Recommended Citation
GB/T 7714
Chen, Jun,Wang, Qingguo,Zhu, Shanan. An improvement on load-balancing on Linux Virtual Server for Internet-based laboratory[C]: IEEE Computer Society, 2016: 685-689.
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