Distributed Data Integration in Content-centric Networks

نویسندگان

  • Zhuhua Liao
  • Aiping Yi
  • Guoqing Zhang
چکیده

The integration of fragmented data seriously impedes the distributed data exploitation in content-centric networks. It requires dealing with the dynamics, semantics and efficiency problems in the data integration. In this paper, a novel scheme is proposed to integrate the fragmented named data into semantic data sequences which can quickly response to users in the content-centric network. In order to perform semantic and efficient integration of fragmented data in the network, diverse integration strategies of fragmented data driven by query are presented at first. And then the data integration algorithms building on the contentcentric network are introduced based on semantic guider nodes. Finally, the experiments demonstrated that the proposed scheme can efficiently integrate the fragmented data distributed in the content-centric network and efficiently response to users.

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عنوان ژورنال:
  • JNW

دوره 8  شماره 

صفحات  -

تاریخ انتشار 2013