Daehee Kim Sejun Song Baek-Young Choi Kim Data Deduplication for Data Optimization for Storage and Network Systems

Data Deduplication for Data Optimization for Storage and Network Systems

von Daehee Kim Sejun Song Baek-Young Choi

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Beschreibung

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.


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.


Presents fundamental and emerging techniques on how to remove unnecessary duplicate data through data optimization technology Presents an approach that can be set up without affecting existing routers or switches Helps readers deploy and configure experimental systems on Software-Defined Networks (SDN) Includes supplementary material: sn.pub/extras

Autor*in

Daehee Kim

Themen in »Data Deduplication for Data Optimization for Storage and Network Systems«

Data deduplication techniques De-duplication Deduplication and cloud-based storage Deduplication and data storage Deduplication and network speed Deduplication and network storage Duplicate data Network and storage services

Stimmen zu »Data Deduplication for Data Optimization for Storage and Network Systems«

“I learned a lot from this book and can recommend it to anyone who believes that his company may benefit from the introduction of storage and/or network deduplication mechanisms.” (G. K. Jenkins, Computing Reviews, April, 2017)


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Details

ISBN: 9783319825441
Verlag: Springer International Publishing
Erscheinung: 14.06.2018

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