Title :
A serie method of massive information storage, retrieval and sharing
Author :
Meng Li ; Sheng Cao
Author_Institution :
Univ. of Electron. Sci. & Technol. of China chengdu, Chengdu, China
Abstract :
With the rapid development of information technology, the volume of data has been explosively growing. The corresponding massive information storage, sharing and retrieval are focused on cloud computing. In this paper, cloud storage based on HDFS features was discussed. It is easy to scale up and down to provide an excellent platform for massive information management and application. The architecture of distributed information retrieval system was proposed, and three key problems were analyzed. Finally, according to P2P network characteristics, we point out that it is an effective tool for massive information sharing for real applications.
Keywords :
cloud computing; information management; information retrieval systems; peer-to-peer computing; software architecture; storage management; HDFS features; P2P network characteristics; cloud computing; cloud storage; data volume; distributed information retrieval system; information technology; massive information management; massive information sharing; massive information storage; series method; system architecture; Cloud computing; Distributed databases; Indexes; Information management; Information retrieval; Peer-to-peer computing; Cloud Storage; Information Retrieval and Sharing; Massive Information;
Conference_Titel :
Mechatronics and Automation (ICMA), 2014 IEEE International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4799-3978-7
DOI :
10.1109/ICMA.2014.6885864
