rely on expert users to configure the deduplication process. The former assumes the presence of a large training set consisting of the most important patterns present in the dataset (e. g.[8, [9). The latter relies on threshold values that are manually tuned to configure the deduplication process (e. g.[1, [2, [10, [4). data deduplication, particularly considering wholefile versus blocklevel elimination of redundancy. We found that wholefile deduplication achieves about three quarters of the space savings of the most aggressive blocklevel deduplication for storage of live file systems, and 87 of the savings for backup images.
dedupsimulation This deduplication simulator was used Deduplication research papers two research papers [1, 2. An earlier, javabased version of this simulator was used in an other paper [5. To date, data deduplication has predominantly been used with secondary storage systems. The reasons for this are twofold. First, data deduplication requires overhead to discover and remove the duplicate data.
In primary storage systems, this overhead may impact performance. View Data Deduplication Research Papers on Academia. edu for free. WHITE PAPER: This white paper explores the design and implementation of one backup and deduplication technology that increases storage efficiency and enhances data management. Access now to uncover general best practices, deduplication use case recommendations, and more.
In storage technology, data deduplication essentially refers to the elimination of redundant data. In the deduplication process, duplicate data is deleted, leaving only one copy of the data to be stored.
However, indexing of all data is Hadoop Deduplication Research Paper Free download as PDF File (. pdf), Text File (. txt) or read online for free. Hadoop Deduplication Research Paper