Indexing on Non-Volatile Memory: Techniques, Lessons Learned and Outlook (SpringerBriefs in Computer Science)
Price: $44.99 - $38.52
(as of Nov 23,2024 12:47:15 UTC – Details)
Publisher : Springer; 1st ed. 2024 edition (November 29, 2023)
Language : English
Paperback : 95 pages
ISBN-10 : 3031476263
ISBN-13 : 978-3031476266
Item Weight : 5.1 ounces
Dimensions : 6.14 x 0.2 x 9.21 inches
Indexing on Non-Volatile Memory: Techniques, Lessons Learned and Outlook (SpringerBriefs in Computer Science)
In this post, we will explore the world of indexing on non-volatile memory (NVM), discussing various techniques, lessons learned, and the outlook for the future of this technology. Non-volatile memory, such as flash memory, is becoming increasingly popular in the world of computing due to its ability to retain data even when power is turned off.
Indexing on NVM presents a unique set of challenges and opportunities compared to traditional volatile memory systems. Techniques such as persistent data structures, log-structured indexing, and hybrid indexing have been developed to optimize performance and durability on NVM.
Throughout this post, we will discuss the lessons learned from implementing indexing on NVM, including the importance of data consistency, durability, and performance tuning. We will also explore the current state of the art in NVM indexing and provide insights into future trends and developments in this exciting field.
Whether you are a researcher, developer, or simply curious about the intersection of indexing and non-volatile memory, this post will provide valuable insights and perspectives on this cutting-edge technology. Stay tuned for more updates and discussions on indexing on non-volatile memory in the world of computer science.
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