Design of High Performance Cloud Storage Platform Based on Cheap PC Clusters Using MongoDB and Hadoop

Cheng Dai; Yan Ye; Tai Jun Liu; Jing Jing Zheng

doi:10.4028/www.scientific.net/AMM.380-384.2050

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384Design of High Performance Cloud Storage Platform...

Design of High Performance Cloud Storage Platform Based on Cheap PC Clusters Using MongoDB and Hadoop

Abstract:

To lay the foundation for the high performance private cloud storage platform, this paper proposes a new cloud storage structure with horizontal scalability using MongoDB and Hadoop. MongoDB is a powerful NOSQL database which is used to construct the cloud storage platform. In certain scenarios, the map-reduce provided by MongoDB can not meet the need of the complex data analysis, especially for the mass complex unstructured data such as videos and documents. This paper introduce the key technologies in MongoDB and Hadoop, then aggregate the advantages of them to build a high performance private cloud storage infrastructure based on cheap personal computer clusters. This infrastructure combines the high horizontal scalability of MongoDB and the high-performance analysis capability from Hadoop.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

2050-2053

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.2050

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Online since:

August 2013

Authors:

Cheng Dai, Yan Ye, Tai Jun Liu, Jing Jing Zheng

Keywords:

Cloud Storage, Hadoop, MongoDB, NoSQL

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