An improvement on load-balancing on Linux Virtual Server for Internet-based laboratory

Jun Chen, Qing Guo Wang, Shanan Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publication12th IEEE International Conference on Control and Automation, ICCA 2016
PublisherIEEE Computer Society
Pages685-689
Number of pages5
ISBN (Electronic)9781509017386
DOIs
Publication statusPublished - 7 Jul 2016
Event12th IEEE International Conference on Control and Automation, ICCA 2016 - Kathmandu, Nepal
Duration: 1 Jun 20163 Jun 2016

Publication series

NameIEEE International Conference on Control and Automation, ICCA
Volume2016-July
ISSN (Print)1948-3449
ISSN (Electronic)1948-3457

Conference

Conference12th IEEE International Conference on Control and Automation, ICCA 2016
Country/TerritoryNepal
CityKathmandu
Period1/06/163/06/16

Keywords

  • Internet-based laboratory
  • LVS
  • Load balance
  • Modelica
  • genetic algorithm optimized BP neural network algorithm

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

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