Affiliations: [a] School of Information Systems and Technology, University of Wollongong, Wollongong, NSW, Australia | [b] Information Management Center, Huaneng Shandong Shidao Bay Nuclear Power Company, Ltd, Longcheng, Shandong, China | [c] School of Information Systems, University of Southern Queensland, Toowoomba, QLD, Australia
Correspondence:
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Corresponding author: Jun Shen, School of Information Systems and Technology, University of Wollongong, Wollongong, NSW, Australia. Tel.: +61 2 4221 3873; Fax: +61 2 4221 4045; E-mail: [email protected].
Abstract: This paper presents a duplication-less storage system over the engineering-oriented cloud computing platforms. Our deduplication storage system, which manages data and duplication over the cloud system, consists of two major components, a front-end deduplication application and a mass storage system as back-end. Hadoop distributed file system (HDFS) is a common distribution file system on the cloud, which is used with Hadoop database (HBase). We use HDFS to build up a mass storage system and employ HBase to build up a fast indexing system. With a deduplication application, a scalable and parallel deduplicated cloud storage system can be effectively built up. We further use VMware to generate a simulated cloud environment. The simulation results demonstrate that our deduplication storage system is sufficiently accurate and efficient for distributed and cooperative data intensive engineering applications.
