Study on the P2P Cloud Storage Architecture Based on Semantic Hypergraph

• 作 者: SONG Ningning LIN Ruijie AN Xingshuo GONG Chao YAO Zhiyong
• 机 构: School of Mechanical Engineering, University of Science and Technology Beijing,China Academy of Tele
• 出 处: 中国通信
• 发表日期: 2015年S2期
• 关键词: semantic cloud equivalence routing matching similarity users retrieval scalabili

Cloud storage has the characteristics of distributed and virtual, and it makes the ownership rights and management rights of users data separated. The master-slave architecture of cloud storage has a problem of single point failure. In this paper, we provide a cloud storage architecture model based on Semantic equivalence. According to semantic matching degree, this architecture divides the nodes into node cluster by creating semantic tree and maintains system routing through semantic hypergraph. Through simulation experiments show that dividing network into semantic can enhance scalability and flexibility of the system, and it can improve the efficiency of network organization and the security of cloud storage system, at the same time, it can also reduce the cloud data storage and the delay of reading time.

The master-slave architecture of cloud storage has a characteristics of distributed and virtual, and it makes the ownership rights and management rights of users data separated. The master-slave architecture of cloud storage has a problem of single point failure. In this paper, we provide a cloud storage architecture model based on Semantic equivalence. According to semantic matching degree, this architecture divides the nodes into node cluster by creating semantic tree and maintains system routing through semantic hypergraph. Through simulation experiments show that dividing network into semantic can enhance scalability and flexibility of the system, and it can improve the efficiency of network organization and the security of cloud storage system, at the same time, it can also reduce the cloud data storage and the delay of reading time.