Title :
Study on massive e-government data cloud storage scheme based on Hadoop
Author_Institution :
Shandong Polytech., Jinan, China
Abstract :
Traditional relational database cannot meet the requirement of massive e-government data storage. Using the massive data storage of Ji´nan walling management platform as an example, this paper presents an e-government cloud storage scheme based on Hadoop, which improves the efficiency of data access, but also low cost, high safety and high scalability can be satisfactory. First, this paper introduces the related technologies of Hadoop, analyzed the advantage of massive e-government data storage using Hadoop, then gives the framework, network topology, deployment, security mechanism, mass small files processing methods of this storage scheme.
Keywords :
cloud computing; government data processing; security of data; storage management; Hadoop; Ji´nan walling management platform; data access efficiency; e-government cloud storage scheme; files processing method; massive e-government data cloud storage scheme; network topology; security mechanism; Companies; Cryptography; Hardware; Heating; Reliability; US Department of Transportation; Hadoop; cloud storage; e-government; massive data;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-4997-0
DOI :
10.1109/ICSESS.2013.6615342