Data Deduplication for Data Optimization for Storage and Network Systems

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Kim, Daehee (Συγγραφέας), Song, Sejun (Συγγραφέας), Choi, Baek-Young (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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020 |a 9783319422800  |9 978-3-319-42280-0 
024 7 |a 10.1007/978-3-319-42280-0  |2 doi 
040 |d GrThAP 
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072 7 |a TEC041000  |2 bisacsh 
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100 1 |a Kim, Daehee.  |e author. 
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. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2017. 
300 |a XIII, 262 p. 89 illus., 61 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
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 Engineering. 
650 0 |a Data structures (Computer science). 
650 0 |a Electrical engineering. 
650 1 4 |a Engineering. 
650 2 4 |a Communications Engineering, Networks. 
650 2 4 |a Data Storage Representation. 
650 2 4 |a Signal, Image and Speech Processing. 
700 1 |a Song, Sejun.  |e author. 
700 1 |a Choi, Baek-Young.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319422787 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-42280-0  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)