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  • 标题:Neighborhood based Framework Active Learning
  • 本地全文:下载
  • 作者:Dr. K.P.Kaliyamurthie ; K.G.S. Venkatesan ; S. Sriram
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2015
  • 卷号:3
  • 期号:3
  • DOI:10.15680/ijircce.2015.0303173
  • 出版社:S&S Publications
  • 摘要:Our proposed approach tries to decrease the impact of SLA violation through a user discriminationapproach and avoid entering the complex procedure of negotiation There will be no chance to get the unknown resultor loss of result. We can measure the SLA violation in long term measuring. For simulations, we considered fivedifferent user types and five classes of virtual machines with different reliability level labels. A learning automaton isan adaptive decision-making unit located in a stochastic environment and the action selection is based on a specificProbability distribution which is updated according to environment the automaton receives by employing a particularaction which hence increases the efficiency by reducing the maximum cost and by improving Quality of Service (QoS).
  • 关键词:Qos(Quality of Service); SLA( Service Level Agreement)
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