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  • 标题:An Efficient Irrigation System with Environmental Data Analysis Using SVM Techniques
  • 本地全文:下载
  • 作者:M.Rameshkumar ; Ramya.G
  • 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:2018
  • 卷号:6
  • 期号:4
  • 页码:3265-3271
  • DOI:10.15680/IJIRCCE.2018.0604014
  • 出版社:S&S Publications
  • 摘要:Power conservation has become an important research area as the use of cloud computing technology became more due to the ease of internet usage, processing and storage on cloud. Even small organisations started to use cloud solutions for their customers. This led to the growth of cloud computing techniques, also, to the growth of the data centers in cloud for processing which resulted in significant amounts of drawbacks in the environment like carbon emissions. Agricultural technologies provide the ability to transfer Virtual Machines between the Physical Machines using live agricultural migration in cloud computing. Dynamic physical server consolidation is a technique to reduce the power usage in the data centers by migrating and consolidating green into reduced number of active energy. Since the problem is NP hard, Ant colony system a multi-objective online metaheuristic algorithm for online server consolidation.is used. ACS out performs other existing techniques in terms of underutilized resource usage and agricultural consumption.
  • 关键词:Big data computing; green cloud; Agricultural consolidation; energy efficient
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