Optimization of Backup Storage by Reducing Fragmentation in Distributed Environment
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 5
Abstract
In modern backup systems, Deduplication plays a vital role in the elimination of duplicate data in a storage system which one of the technique to reduce storage costs. Deduplication divides a backup stream into variable sized chunks of data used to map stored chunks to their physical addresses. These chunks of data are physically distributed and create a problem known as fragmentation. Primarily fragmentation categorized into sparse and out-of-order containers. The sparse container adversely affects the performance while restoring the database and garbage collection effectively, while the out-of-order container brings an adverse effect on the performance issue if the restore cache built is small. To minimize the fragmentation problem, we implement the History-Aware Rewriting algorithm (HAR) and Cache-Aware Filter (CAF). HAR will collect the historical information in backup systems to identify and reduce sparse containers, and CAF to restore cache knowledge to find the out-of-order containers that impacts restore performance. We exploit Container-Marker Algorithm (CMA) to gather valid containers instead of valid chunks which help in garbage collection. My results help to prove how HAR, CMA improves the restore performance.
Authors and Affiliations
Sandeep Wagh, Prof. Sagar Bhakre
Keywords
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