Intelligent Backup and Recovery Algorithms Design for Multi-Partition System

• Main Authors: Ya-Ching Chang, 張雅晴
• Other Authors: Hsiao-Kuang Wu
• Format: Others
• Language: en_US
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/34805651597946664855

碩士 === 國立中央大學 === 資訊工程研究所 === 100 === 　　With the rapid development of information technology, the amount of data storage is increased, and then data storage and management play an important role. People found that it is not a good way to storage data in a single location because data may be lost due to database corruption, hardware failures, and even natural disasters. Moreover, when the enterprises encounter the accidental loss of data, they must spend more time and money to recover these lost data. If we would like to ensure the data security, data backup and recovery techniques are attached great importance. 　　In this thesis, the intelligent backup and recovery algorithms design for multi-partition system are proposed. Our algorithms provide the steady and efficient data backup and recovery functions, and support four file system formats such as NTFS, Extended FAT, HFS Plus and Ext2. Finally, the experiment results show that backup speed and recovery speed of our intelligent algorithms are more efficiently than full algorithms, and the improved speed up to two times. Thus, our designed algorithms have good performance and scalability, and meet the requirement of enterprise massively data backup and recovery.