Data Deduplication For High Performance Storage System

Springer
SKU:
9789811901119
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ISBN13:
9789811901119
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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.


  • | Author: Dan Feng
  • | Publisher: Springer
  • | Publication Date: May 20, 2022
  • | Number of Pages: 173 pages
  • | Language: English
  • | Binding: Hardcover/Computers
  • | ISBN-10: 9811901112
  • | ISBN-13: 9789811901119
Author:
Dan Feng
Publisher:
Springer
Publication Date:
May 20, 2022
Number of pages:
173 pages
Language:
English
Binding:
Hardcover/Computers
ISBN-10:
9811901112
ISBN-13:
9789811901119