Abstract
To effectively handle duplicate files, data deduplication schemes are widely used in many storage systems. Data deduplication algorithms reduce storage space by eliminating data to ensure that only single instance of data is stored in storage device. In this paper, we propose an energy efficient file synchronization scheme that provides hybrid data chunking using variable-length chunking (VLC) and fixed-length chunking (FLC). The main idea is to analyze similarities between old and new versions of data and decide which chunking method to apply in synchronizing the files. In particular, the proposed algorithm exploits the file similarity pattern for calculating the energy efficiency of chunking algorithms. We have developed an Android mobile application for file synchronization and measured energy consumption. The experiment results show that the proposed scheme helps save energy in synchronizing files, regardless of file types or amount of redundancies the files have.
Highlights
With the rapid penetration of smartphones, the necessity of synchronizing files between mobile clients and servers has significantly increased
This paper proposes an energy efficient scheme for synchronizing large files using data deduplication
The proposed algorithm selects which deduplication technique to use based on file pattern, in order to minimize the total energy consumption of synchronization process
Summary
With the rapid penetration of smartphones, the necessity of synchronizing files between mobile clients and servers has significantly increased. Energy efficient synchronization becomes a major issue when synchronizing files between a mobile client and its server, especially for large files such as mp3s, videos, and documents including high resolution images. Downloading or uploading these files through wireless interfaces such as. VLC is a more advanced approach that anchors variable-length segments based on their interior data patterns This solves the boundary shift problem in the fixed-size block approach.
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