Optimal Elimination Scheme to De-Duplication | For Reduction of Data in Storage System

Yerragudipadu Subbarayudu (u. a.)

ISBN 10: 613992927X / ISBN 13: 9786139929276

Published by LAP LAMBERT Academic Publishing, 2019

About this Item

Optimal Elimination Scheme to De-Duplication | For Reduction of Data in Storage System | Yerragudipadu Subbarayudu (u. a.) | Taschenbuch | 64 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139929276 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 117207140

Bibliographic Details

• Title: Optimal Elimination Scheme to De-Duplication | For Reduction of Data in Storage System
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2019
• Language: English
• ISBN 10: 613992927X
• ISBN 13: 9786139929276
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 113 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Information depletion has become increasingly important in disk and record storage systems due to the rapid growth of information in the universe that has assisted in the large information period. One of the important summons facing massive-scale information depletion, is how to totally find out and reduce redundancy at extreme moderate expenses.So introduced DARE,a low overhead duplicate adjacency resemblance detection and elimination scheme that explicitly overcomes conventional replica-adjacent data for largely efficient similarity identification in data that located in disk and record storage structures. The main objective of DARE is to implement a strategy, replicate adjacency based similarity discovery, by taking any two information blocks to be almost identical if their adjacent information blocks are replica in a non-replica system, and then additionally supplement the similarity identification efficiency by an modern tremendous-feature method.