Reducing Fragmentation for In-Line Deduplication Backup Storage via Exploiting Backup History and Cache Knowledge

Reducing Fragmentation for In-Line Deduplication Backup Storage via Exploiting Backup History and Cache Knowledge is a project report that emphasizes the reduction of fragmentation for the in-line deduplication backup storage. After the deduplication, the chunks of data are physically scattered and the chinks of backups are stored. Restoring the performance and efficient garbage collection efficiency is easily possible through the use of exploiting backup history and cache knowledge. The fragmentation is easily reducible by identifying the chinks of data or backup that are stored easily. It can also help in reducing the metadata overhead. The Free mini project report on Reducing Fragmentation for In-Line Deduplication Backup Storage via Exploiting Backup History and Cache Knowledge is available. The users can download abstract, Synopsis on pdf to understand the effects of Reducing Fragmentation for In-Line Deduplication Backup Storage via Exploiting Backup History and Cache Knowledge.

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Topics Covered:
01)Introduction
02)Objectives, ER Diagram
03)Flow Chats, Algorithms used
04)System Requirements
05)Project Screenshots
06)Conclusion, References