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  • 标题:Efficient Ant Colony Based Load Balancing in Cloud Computing
  • 本地全文:下载
  • 作者:Kamalpreet Kaur ; Suveg Moudgil
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2015
  • 卷号:6
  • 期号:3
  • 页码:293-298
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:Load balancing is moderately new method that facilitates webs and resources by bestowing a maximum throughput alongside negligible reply time. Splitting the traffic amid servers, data can be dispatched and consented lacking main wait. Disparate assortments of algorithms are obtainable that can aid traffic loaded amid obtainable servers. Burden balancing resolutions usually apply redundant servers that assist an enhanced allocation considering the contact traffic so that the locale supply is conclusively settled. Burden Balancing is an vital facet of large Groundwork cloud computing environments. Burden balancing has to seize into report two main jobs, one is the resource provisioning or resource allocation and supplementary is task arranging in distributed environment.
  • 关键词:ACO;Cloud Computing;Load Balancing;Pheromone Table
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