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Data deduplication for data optimiza...

Kim, Daehee.

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Data deduplication for data optimization for storage and network systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data deduplication for data optimization for storage and network systems/ by Daehee Kim, Sejun Song, Baek-Young Choi.
Author:	Kim, Daehee.
other author:	Song, Sejun.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	xiii, 262 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction -- De-duplication Background -- Existing De-duplication Techniques -- Hybrid Email De-duplication System -- Structure-Aware File and Email De-duplication for Cloud-based Storage Systems -- Software-defined De-duplication as a Network and Storage Service -- Mobile De-duplication -- Conclusion.
Contained By:	Springer eBooks
Subject:	Database management. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-42280-0
ISBN:	9783319422800

Data deduplication for data optimization for storage and network systems
Kim, Daehee.

Data deduplication for data optimization for storage and network systems[electronic resource] /by Daehee Kim, Sejun Song, Baek-Young Choi. - Cham :Springer International Publishing :2017. - xiii, 262 p. :ill. (some col.), digital ;24 cm.

Introduction -- De-duplication Background -- Existing De-duplication Techniques -- Hybrid Email De-duplication System -- Structure-Aware File and Email De-duplication for Cloud-based Storage Systems -- Software-defined De-duplication as a Network and Storage Service -- Mobile De-duplication -- Conclusion.

This book introduces fundamentals and trade-offs of data de-duplication techniques. It describes novel emerging de-duplication techniques that remove duplicate data both in storage and network in an efficient and effective manner. It explains places where duplicate data are originated, and provides solutions that remove the duplicate data. It classifies existing de-duplication techniques depending on size of unit data to be compared, the place of de-duplication, and the time of de-duplication. Chapter 3 considers redundancies in email servers and a de-duplication technique to increase reduction performance with low overhead by switching chunk-based de-duplication and file-based de-duplication. Chapter 4 develops a de-duplication technique applied for cloud-storage service where unit data to be compared are not physical-format but logical structured-format, reducing processing time efficiently. Chapter 5 displays a network de-duplication where redundant data packets sent by clients are encoded (shrunk to small-sized payload) and decoded (restored to original size payload) in routers or switches on the way to remote servers through network. Chapter 6 introduces a mobile de-duplication technique with image (JPEG) or video (MPEG) considering performance and overhead of encryption algorithm for security on mobile device.

ISBN: 9783319422800

Standard No.: 10.1007/978-3-319-42280-0doiSubjects--Topical Terms:

527442
Database management.

LC Class. No.: QA76.9.D3

Dewey Class. No.: 005.74

Data deduplication for data optimization for storage and network systems
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100 1 $a Kim, Daehee. $3 3217017
245 1 0 $a Data deduplication for data optimization for storage and network systems $h [electronic resource] / $c by Daehee Kim, Sejun Song, Baek-Young Choi.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xiii, 262 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Introduction -- De-duplication Background -- Existing De-duplication Techniques -- Hybrid Email De-duplication System -- Structure-Aware File and Email De-duplication for Cloud-based Storage Systems -- Software-defined De-duplication as a Network and Storage Service -- Mobile De-duplication -- Conclusion.
520 $a This book introduces fundamentals and trade-offs of data de-duplication techniques. It describes novel emerging de-duplication techniques that remove duplicate data both in storage and network in an efficient and effective manner. It explains places where duplicate data are originated, and provides solutions that remove the duplicate data. It classifies existing de-duplication techniques depending on size of unit data to be compared, the place of de-duplication, and the time of de-duplication. Chapter 3 considers redundancies in email servers and a de-duplication technique to increase reduction performance with low overhead by switching chunk-based de-duplication and file-based de-duplication. Chapter 4 develops a de-duplication technique applied for cloud-storage service where unit data to be compared are not physical-format but logical structured-format, reducing processing time efficiently. Chapter 5 displays a network de-duplication where redundant data packets sent by clients are encoded (shrunk to small-sized payload) and decoded (restored to original size payload) in routers or switches on the way to remote servers through network. Chapter 6 introduces a mobile de-duplication technique with image (JPEG) or video (MPEG) considering performance and overhead of encryption algorithm for security on mobile device.
650 0 $a Database management. $3 527442
650 1 4 $a Engineering. $3 586835
650 2 4 $a Communications Engineering, Networks. $3 891094
650 2 4 $a Data Storage Representation. $3 892664
650 2 4 $a Signal, Image and Speech Processing. $3 891073
700 1 $a Song, Sejun. $3 2055806
700 1 $a Choi, Baek-Young. $3 1944916
710 2 $a SpringerLink (Online service) $3 836513
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856 4 0 $u http://dx.doi.org/10.1007/978-3-319-42280-0
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