一种基于Cloud-P2P 网络平台的泛知识云模型

Translated title of the contribution: Ubiquitous knowledge cloud model based on cloud-P2P network platform

Xiao-long Xu, Shuo Li, Li-miao Gu, Xinheng Wang

Research output: Contribution to journalArticle

Abstract

This paper presented a novel ubiquitous knowledge cloud model based on Cloud-P2P network platform, which organised the various types of documents, knowledge orderly together, and took full account of the available resources of network edge. In the premise of protecting user's experience, the model made the tasks about knowledge requirement submitted from users migrate from the network servers to the nodes of network edge. To further improve the users' satisfaction, it proposed a new dynamic complex adaptive quality of service protection mechanism, which provided an efficient solution of the problem of server performance bottleneck in peak time existing in the traditional knowledge systems through differentiating the different types of users and setting the threshold of server load.
Original languageChinese
Pages (from-to)408-411+416
Number of pages5
JournalApplication Research of Computers
Volume31
Issue number2
DOIs
Publication statusPublished - 2014

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Keywords

  • peer-to-peer computing
  • cloud computing
  • knowledge sharing
  • quality of service

Cite this

Xu, Xiao-long ; Li, Shuo ; Gu, Li-miao ; Wang, Xinheng. / 一种基于Cloud-P2P 网络平台的泛知识云模型. In: Application Research of Computers. 2014 ; Vol. 31, No. 2. pp. 408-411+416.
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一种基于Cloud-P2P 网络平台的泛知识云模型. / Xu, Xiao-long; Li, Shuo; Gu, Li-miao; Wang, Xinheng.

In: Application Research of Computers, Vol. 31, No. 2, 2014, p. 408-411+416.

Research output: Contribution to journalArticle

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AB - This paper presented a novel ubiquitous knowledge cloud model based on Cloud-P2P network platform, which organised the various types of documents, knowledge orderly together, and took full account of the available resources of network edge. In the premise of protecting user's experience, the model made the tasks about knowledge requirement submitted from users migrate from the network servers to the nodes of network edge. To further improve the users' satisfaction, it proposed a new dynamic complex adaptive quality of service protection mechanism, which provided an efficient solution of the problem of server performance bottleneck in peak time existing in the traditional knowledge systems through differentiating the different types of users and setting the threshold of server load.

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