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Titlebook: Data Deduplication for Data Optimization for Storage and Network Systems; Daehee Kim,Sejun Song,Baek-Young Choi Book 2017 Springer Interna

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發(fā)表于 2025-3-21 18:23:03 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Data Deduplication for Data Optimization for Storage and Network Systems
編輯Daehee Kim,Sejun Song,Baek-Young Choi
視頻videohttp://file.papertrans.cn/263/262770/262770.mp4
概述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
圖書封面Titlebook: Data Deduplication for Data Optimization for Storage and Network Systems; Daehee Kim,Sejun Song,Baek-Young Choi Book 2017 Springer Interna
描述.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-duplicati
出版日期Book 2017
關(guān)鍵詞Data deduplication techniques; De-duplication; Deduplication and cloud-based storage; Deduplication and
版次1
doihttps://doi.org/10.1007/978-3-319-42280-0
isbn_softcover978-3-319-82544-1
isbn_ebook978-3-319-42280-0
copyrightSpringer International Publishing Switzerland 2017
The information of publication is updating

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發(fā)表于 2025-3-21 20:41:52 | 只看該作者
Existing Deduplication Techniquesonsidering performance and overhead, each deduplication technique has been developed with different designs considering the characteristics of data sets, system capacity and deduplication time. For example, if the data sets to be handled have many duplicate files, deduplication can compare files the
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Mobile De-Duplications, where each file is deduplicated based on the file’s structure considering a low-capacity mobile device. We also consider file security and observed performance of encryption algorithms based on systems with different CPU types, such as an Android mobile device (ARM-CPU) and a desktop Linux server
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發(fā)表于 2025-3-22 18:21:15 | 只看該作者
Daehee Kim,Sejun Song,Baek-Young ChoiPresents 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
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https://doi.org/10.1007/978-3-319-42280-0Data deduplication techniques; De-duplication; Deduplication and cloud-based storage; Deduplication and
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