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  • 标题:Prediction in Cloud Specific and Fetch Fragment Representation
  • 本地全文:下载
  • 作者:Sivanagaprasad.Gurram ; S.SureshBabu
  • 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:4
  • 页码:27-31
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:The non redundant data is identified and using triple DES (3DES) those data chunks are encrypted and sent to the cloud for storage In a public cloud computing model band size is latest priced in a pay-as-you-go serves different the latest trend of augmenting cloud computing with band size models we take a few model of cloud band size locations and pricing when explicit band size reservation is connections In the present scenario the server keeps track of all the end clients. But this is not the case with the PACK as in this mechanism a client can manage his own status and hence the server is offloaded. This makes the PACK suitable for pervasive computing we provide a survey on the new traffic redundancy technique called novel TRE conjointly called receiver based TRE This novel-TRE has important options like detective work the redundancy at the customer, randomly rotating appear chained matches incoming chunks with a antecedently received chunk chain or native file and sending to the server for predicting the long run information and no would like of server to unceasingly maintain consumer state Finally analysis andimplementation of Predictive acknowledgement benefits for cloud users is determined.
  • 关键词:Public Cloud Computing;PACK;Bandwidth;3DES;Cloud Computing;Chunking;TRE;Novel-TRE;Computing Paradigm; Network Optimization
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