A Deduplication-aware Scalable Storage System for Mobile Devices

• Main Authors: Kuo-Long Chen, 陳國龍
• Other Authors: Chin-Hsien Wu
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/93896834155798286321

碩士 === 國立臺灣科技大學 === 電子工程系 === 103 === Nowadays, the capacity of data growth is very rapid because of convenient and fast network transmission and large-capacity storage systems. In particular, mobile devices are very popular devices to delivery and store information for people. However, mobile devices have hardware limitations such as slow CPU speed, small storage space, and low battery capacity. Especially, when the storage space is not enough, cloud storage systems such as Google Drive, iCloud, and Dropbox can provide extra storage space to store data. However, the mobile device could still store infrequently used data or duplication data. In this thesis, we propose a deduplication-aware scalable storage system for mobile devices. We use a hotness filter to identify the infrequently used data and transfer the data to the cloud storage. We also design a deduplication mechanism for mobile devices to decrease the transfer data. According to the experimental results, the proposed method can efficiently and correctly identify infrequently used data and transfer the data to the cloud storage to generate extra free space for mobile devices.