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

fYear

2014

fDate

3-6 Aug. 2014

Firstpage

1171

Lastpage

1175

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation (ICMA), 2014 IEEE International Conference on

Conference_Location

Tianjin

Print_ISBN

978-1-4799-3978-7

Type

conf

DOI

10.1109/ICMA.2014.6885864

Filename

6885864