Data Deduplication for Data Optimization for Storage and Network Systems

Daehee Kim author Sejun Song author Baek-Young Choi author

Format:Hardback

Publisher:Springer International Publishing AG

Published:15th Sep '16

Currently unavailable, and unfortunately no date known when it will be back

Data Deduplication for Data Optimization for Storage and Network Systems cover

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.

“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)

ISBN: 9783319422787

Dimensions: unknown

Weight: 5443g

262 pages

1st ed. 2017