Computer Science ›› 2017, Vol. 44 ›› Issue (11): 268-272.doi: 10.11896/j.issn.1002-137X.2017.11.040

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P2P Based Massive Scalable Remote Sensing Data Distribution with Access Control

YANG Xin-lei, HE Qian, CAO Li and WANG Shi-cheng   

  • Online:2018-12-01 Published:2018-12-01

Abstract: With the increasing of remote sensing data,massive scalable remote sensing data distribution may cause big pressure for the distribution center server.Fully utilizing the network resources of joining nodes,a P2P based massive scalable remote sensing data distribution system was proposed and realized.The remote sensing data distribution system consists of remote sensing data management platform and remote sensing data client,where the remote sensing data mangement is composed of the sharing distribution platform web site,the cloud storage,the seed resource server and the tracker,and these remote sensing clients and the seed resource server construct a P2P network.The P2P communication protocol including sharing pieces,piece selection,and tracker communication was designed.The realized system can support uploading data and begining seed automatically with user access control.The users download the remote sensing data based on their user ranks and share and fasten data pieces downloading based on the Bittorrent like protocol.The experiment results show that the realized massive scalable remote sensing data distribution system is fully functional,has excellent concurrent performance while multiple nodes downloading,and satisfies the requirements of massive scalable remote sensing data distribution.

Key words: Remote data distribution,P2P,Access control,Seed automatically

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