Ubackup: An Easy Way to Build a High-Efficient Private Cloud Storage System

Kai Guo; Peng Yan Shen; Ming Zhong Xiao

doi:10.4028/www.scientific.net/AMM.556-562.6241

Paper Titles

Merkle Hash Tree Based Deduplication in Cloud Storage
p.6223

Investigations of the Energy-Saving Technology of a Cloud Computing Data Center
p.6228

Systematic Analysis of Coal Miners’ Safety Behavior Based on System Dynamics Model
p.6232

Sensitive Cloud Data Deduplication with Data Dynamics
p.6236

Ubackup: An Easy Way to Build a High-Efficient Private Cloud Storage System
p.6241

Simulation on the Optimized Scheduling of Multi-Tenant Software under Cloud Computing Environment
p.6246

Issues and Current Solutions of Mobile Cloud Computing
p.6251

Method of Locating Anomaly Source in Software System Based on Dendritic Cell Algorithm
p.6255

A Comprehensive Security Strategy Applying to the Total Life Cycle of Cloud Computing Data Center
p.6259

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Ubackup: An Easy Way to Build a High-Efficient...

Ubackup: An Easy Way to Build a High-Efficient Private Cloud Storage System

Abstract:

In this paper, we present UBackup, which describes an easy way to build a private cloud storage system with high-efficient and high-disaster-tolerance. UBackup client enables file-level de-duplication by using a file fingerprint check. The utilization of compressed erasure code algorithm ensures data security and cuts down the cost. A space utilization rate variance minimizing algorithm is used on index server to balance system load. We present the system architecture of UBackup and its components, and we have implemented a proof-of-concept prototype of UBackup. By conducting performance evaluation in a public Internet, experimental results demonstrate the efficiency of the system.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

6241-6245

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.6241

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Online since:

May 2014

Authors:

Kai Guo*, Peng Yan Shen, Ming Zhong Xiao

Keywords:

Erasure Code, Load Balance, Private Cloud

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* - Corresponding Author

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