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Data Deduplication for High Performance Storage System
Buch von Dan Feng
Sprache: Englisch

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Beschreibung
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.
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.
Über den Autor

Dan Feng is a Professor and the Dean of the School of Computer Science and Technology at Huazhong University of Science and Technology (HUST). Her research interests include computer architecture, Non-Volatile memory technology, distributed and parallel file systems, and massive storage systems. She has more than 100 publications in top-tier journals and international conferences, including PIEEE, IEEE TC, IEEE TPDS, IEEE TCAD, ACM-TOS, FAST, USENIX ATC, ISCA, EuroSys, HPDC, SC, ICS, and DAC.

Zusammenfassung

Integrates author's over one decade of work on data deduplication in storage systems

Provides novel solutions of data deduplication for high performance data storage

A valuable reference for advanced studies in data deduplication technologies

Inhaltsverzeichnis

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.

Details
Erscheinungsjahr: 2022
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: xi
162 S.
1 s/w Illustr.
162 p. 1 illus.
ISBN-13: 9789811901119
ISBN-10: 9811901112
Sprache: Englisch
Einband: Gebunden
Autor: Feng, Dan
Auflage: 1st edition 2022
Hersteller: Springer Singapore
Springer Nature Singapore
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 160 x 16 mm
Von/Mit: Dan Feng
Erscheinungsdatum: 03.06.2022
Gewicht: 0,436 kg
Artikel-ID: 121012610
Über den Autor

Dan Feng is a Professor and the Dean of the School of Computer Science and Technology at Huazhong University of Science and Technology (HUST). Her research interests include computer architecture, Non-Volatile memory technology, distributed and parallel file systems, and massive storage systems. She has more than 100 publications in top-tier journals and international conferences, including PIEEE, IEEE TC, IEEE TPDS, IEEE TCAD, ACM-TOS, FAST, USENIX ATC, ISCA, EuroSys, HPDC, SC, ICS, and DAC.

Zusammenfassung

Integrates author's over one decade of work on data deduplication in storage systems

Provides novel solutions of data deduplication for high performance data storage

A valuable reference for advanced studies in data deduplication technologies

Inhaltsverzeichnis

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.

Details
Erscheinungsjahr: 2022
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: xi
162 S.
1 s/w Illustr.
162 p. 1 illus.
ISBN-13: 9789811901119
ISBN-10: 9811901112
Sprache: Englisch
Einband: Gebunden
Autor: Feng, Dan
Auflage: 1st edition 2022
Hersteller: Springer Singapore
Springer Nature Singapore
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 160 x 16 mm
Von/Mit: Dan Feng
Erscheinungsdatum: 03.06.2022
Gewicht: 0,436 kg
Artikel-ID: 121012610
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