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  • 标题:Optimization of Edge Server Selection Technique using Local Server and System Manager in content delivery network
  • 本地全文:下载
  • 作者:Debabrata Sarddar ; Enakshmi Nandi
  • 期刊名称:International Journal of Grid and Distributed Computing
  • 印刷版ISSN:2005-4262
  • 出版年度:2015
  • 卷号:8
  • 期号:4
  • 页码:83-90
  • DOI:10.14257/ijgdc.2015.8.4.08
  • 出版社:SERSC
  • 摘要:Cloud Computing is a distributing computing technology which is used as pay per use basis. Now a day's Cloud Computing is the most reputed topic due to its ability to offer guaranteed quality of service atmosphere, dynamic IT infrastructures, and conFigureurable software services. But many users could not satisfy on cloud services completely due to their uncovering security purpose for handling large numbers of data. Even the network becomes uncontrollable, when large numbers of user's request to the server create network congestion and data losses vigorously. Content Delivery Network OR CDN is an eminent solution of this problem. Our objective is to create local and global server and connect the global server to system manager, which is worked over Content Delivery Network to deliver and direct the user request to the nearest global edge server except local server and establish the connection between them and transfer the respective content. For optimization of edge selection process and reduce the load over content delivery network we approach local server concept in this paper.
  • 关键词:CDN; Euclidean Distance; Dijsktra Algorithm
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