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Data Deduplication for Data Optimization for Storage and Network Systems (Hardcover, 1st ed. 2017)
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Data Deduplication for Data Optimization for Storage and Network Systems (Hardcover, 1st ed. 2017)
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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.
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