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Indexing on Non-Volatile Memory : Techniques, Lessons Learned and Outlook / by Kaisong Huang, Tianzheng Wang.

Springer Nature - Springer Computer Science eBooks 2024 English International Available online

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Format:
Book
Author/Creator:
Huang, Kaisong.
Contributor:
Wang, Tianzheng.
Series:
SpringerBriefs in Computer Science, 2191-5776
Language:
English
Subjects (All):
Database management.
Database Management.
Local Subjects:
Database Management.
Physical Description:
1 online resource (92 pages)
Edition:
1st ed. 2024.
Place of Publication:
Springer Nature 2023
Summary:
This book focuses on online transaction processing indexes designed for scalable, byte-addressable non-volatile memory (NVM) and provides a systematic review and summary of the fundamental principles and techniques as well as an outlook on the future of this research area. In this book, the authors divide the development of NVM indexes into three “eras”— pre-Optane, Optane and post-Optane—based on when the first major scalable NVM device (Optane) became commercially available and when it was announced to be discontinued. The book will analyze the reasons for the slow adoption of NVM and give an outlook for indexing techniques in the post-Optane era. The book assumes only basic undergraduate-level understanding on indexing (e.g., B+-trees, hash tables) and database systems in general. It is otherwise self-contained with the necessary background information, including an introduction to NVM hardware and software/programming issues, a detailed description of different indexes in highly concurrent systems for non-experts and new researchers to get started in this area.
Contents:
1. Introduction
2. NVM Hardware and Software
3. A Primer on Database Indexing
4. Range Indexes on Non-Volatile Memory
5. Hash Tables on Non-Volatile Memory
6. Summary
7. Lessons Learned and Outlook.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
9783031476273
3031476271
OCLC:
1412619984

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