Rural Online Distance Education based on Content Delivery Network in Beijing

International Journal of Online Engineering

Jun-feng Zhang³  Shi-hong Liu²  Ji-chun Zhao¹ 

[1] Beijing Academy of Agriculture and Forestry SciencesInstitute of Agricultural Information, Chinese Academy of Agricultural SciencesBeijing Academy of Agriculture and Forestry SciencesInstitute of Agricultural Information, Chinese Academy of Agricultural SciencesBeijing Academy of Agriculture and Forestry SciencesInstitute of Agricultural Information, Chinese Academy of Agricultural Sciences;Institute of Agricultural Information, Chinese Academy of Agricultural SciencesInstitute of Agricultural Information, Chinese Academy of Agricultural SciencesInstitute of Agricultural Information, Chinese Academy of Agricultural Sciences;Beijing Academy of Agriculture and Forestry SciencesThe Research Center of Beijing Engineering technology for Rural Remote Information ServicesBeijing Academy of Agriculture and Forestry SciencesThe Research Center of Beijing Engineering technology for Rural Remote Information ServicesBeijing Academy of Agriculture and Forestry SciencesThe Research Center of Beijing Engineering technology for Rural Remote Information Services

关键词: Rural online distance education;    Content delivery network;    Video transmission;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: International Association of Online Engineering

【 摘 要 】

The paper proposed the research on rural online distance education (RODE) based on the Beijing rural network condition, which aimed at helping farmers to get agricultural technology more effectively and sufficiently. This is the first platform that was applied to large-scale rural distance education, which combined with peer to peer (P2P) and content delivery network (CDN). What’s more, it initiates network video transmission into the RODE platform, which could save 80% of the bandwidth. In addition, MD5 encryption algorithm, content pre-reading technology and data logic chip technology were used to ensure the security of video data. It has the following advantages: easily deployed, highly scalable and low-cost.

【 授权许可】

Unknown