Paper Info
Title
A Universal Storage Architecture for Big Data in Cloud Environment
Abstract
With the rapid development of the Internet of Things and Electronic Commerce, we have entered the era of big data. The characteristics, such as great amount and heterogeneousity, of big data bring the challenge to the storage and analytics. The paper presented a universal storage architecture for big data in cloud environment. We use clustering analysis to divide the cloud nodes into multiple clusters according to the communication cost between different nodes. The cluster with the strongest computing power is selected to provide the universal storage and query interface for users. Each of other clusters is responsible for storing the data of a particular model, such as relational data, key-value data, and document data and so on. Experiments show that our architecture can store all kinds of heterogeneous big data and provide users with unified storage and query interface for big data easily and quickly.
Year
DOI
Venue
2013
10.1109/GreenCom-iThings-CPSCom.2013.96
GreenCom/iThings/CPScom
Keywords
Field
DocType
universal storage,communication cost,query interface,pattern clustering,big data,unified storage,multiple clusters,universal storage architecture,storage management,relational data,data analysis,clustering analysis,data analytics,cloud nodes,data model,heterogeneous big data,storage architecture,data storage,key-value data,cloud environment,electronic commerce,cloud computing,document data,big datat,query processing,internet of things
Data architecture,Programming with Big Data in R,Converged storage,Computer science,Information repository,Data virtualization,Big data,Data model,Database,Cloud computing
Conference
Citations 
PageRank 
References 
2
0.37
12
Authors
6
Name
Order
Citations
PageRank
Qingchen Zhang1304.97
Zhikui Chen269266.76
Ailing Lv331.33
Liang Zhao436648.82
Fangyi Liu581.25
Jian Zou632.07