Data Deduplication for High Performance Storage System (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	June 2022
First published:	2022
Authors:	Dan Feng
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	162
Edition:	1st ed. 2022
ISBN-13:	978-981-19-0111-9
Categories:	Books > Computing & IT > General theory of computing > Systems analysis & design Books > Computing & IT > Computer communications & networking > General Books > Computing & IT > Applications of computing > Databases > Data mining Promotions
LSN:	981-19-0111-2
Barcode:	9789811901119

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