Non-Volatile Memory Database Management Systems 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Non-Volatile Memory Database Management Systems

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Joy Arulraj (Author), Andrew Pavlo (Author), H. V. Jagadish (Editor) 作者
Morgan & Claypool Publishers
譯者
2019-2-12 出版日期
192 頁數
USD 89.95 價格
Hardcover
叢書系列
9781681734866 圖書編碼

Non-Volatile Memory Database Management Systems 在線電子書 圖書標籤: 數據庫  Database   


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Non-Volatile Memory Database Management Systems 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Non-Volatile Memory Database Management Systems 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Non-Volatile Memory Database Management Systems 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Non-Volatile Memory Database Management Systems 在線電子書 著者簡介

Joy Arulraj is an Assistant Professor of Database Systems in the School of Computer Science at Georgia Institute of Technology. His doctoral research focused on the design and implementation of non-volatile memory database management systems. He is a member of the Database Group and the Center for Experimental Research in Computer Systems at Georgia Tech. His work is also in collaboration with the Intel Science and Technology Center for Big Data, Microsoft Research, and Samsung Research.


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Non-Volatile Memory Database Management Systems 在線電子書 圖書描述

This book explores the implications of non-volatile memory (NVM) for database management systems (DBMSs). The advent of NVM will fundamentally change the dichotomy between volatile memory and durable storage in DBMSs. These new NVM devices are almost as fast as volatile memory, but all writes to them are persistent even after power loss. Existing DBMSs are unable to take full advantage of this technology because their internal architectures are predicated on the assumption that memory is volatile. With NVM, many of the components of legacy DBMSs are unnecessary and will degrade the performance of data-intensive applications.

We present the design and implementation of DBMS architectures that are explicitly tailored for NVM. The book focuses on three aspects of a DBMS: (1) logging and recovery, (2) storage and buffer management, and (3) indexing. First, we present a logging and recovery protocol that enables the DBMS to support near-instantaneous recovery. Second, we propose a storage engine architecture and buffer management policy that leverages the durability and byte-addressability properties of NVM to reduce data duplication and data migration. Third, the book presents the design of a range index tailored for NVM that is latch-free yet simple to implement. All together, the work described in this book illustrates that rethinking the fundamental algorithms and data structures employed in a DBMS for NVM improves performance and availability, reduces operational cost, and simplifies software development.

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