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Data Deduplication for High Performance Storage System / by Dan Feng.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Author/Creator:
Feng, Dan., Author.
Contributor:
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Language:
English
Subjects (All):
Information retrieval.
Computer architecture.
Electronic digital computers-Evaluation.
Computer input-output equipment.
Information storage and retrieval systems.
Computer systems.
Big data.
Data Storage Representation.
System Performance and Evaluation.
Input/Output and Data Communications.
Information Storage and Retrieval.
Computer System Implementation.
Big Data.
Local Subjects:
Data Storage Representation.
System Performance and Evaluation.
Input/Output and Data Communications.
Information Storage and Retrieval.
Computer System Implementation.
Big Data.
Physical Description:
1 online resource (XI, 162 pages) : 1 illustrations
Edition:
1st ed. 2022.
Contained In:
Springer Nature eBook
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
System Details:
text file PDF
Summary:
This book comprehensively introduces data deduplication technologies for storage systems. It first presents the overview of data deduplication including its theoretical basis, basic workflow, application scenarios and its key technologies, and then the book focuses on each key technology of the deduplication to provide an insight into the evolution of the technology over the years including chunking algorithms, indexing schemes, fragmentation reduced schemes, rewriting algorithm and security solution. In particular, the state-of-the-art solutions and the newly proposed solutions are both elaborated. At the end of the book, the author discusses the fundamental trade-offs in each of deduplication design choices and propose an open-source deduplication prototype. The book with its fundamental theories and complete survey can guide the beginners, students and practitioners working on data deduplication in storage system. It also provides a compact reference in the perspective of key data deduplication technologies for those researchers in developing high performance storage solutions.
Contents:
Preface
Deduplication: Beginning from Data Backup System
Overview of Data Deduplication
Chunking Algorithms
Indexing Schemes
Rewriting Algorithms
Secure Deduplication
Post-deduplication Delta Compression Schemes
The Framework of Data Deduplication
References.
Other Format:
Printed edition:
ISBN:
978-981-19-0112-6
9789811901126
Access Restriction:
Restricted for use by site license.

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