Non-Volatile Memory Database Management Systems

Non-Volatile Memory Database Management Systems

Author: Joy Arulraj

Publisher: Springer Nature

Published: 2022-06-01

Total Pages: 173

ISBN-13: 3031018680

DOWNLOAD EBOOK

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.


Book Synopsis Non-Volatile Memory Database Management Systems by : Joy Arulraj

Download or read book Non-Volatile Memory Database Management Systems written by Joy Arulraj and published by Springer Nature. This book was released on 2022-06-01 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Non-Volatile Memory Database Management Systems

Non-Volatile Memory Database Management Systems

Author: Joy Arulraj

Publisher: Morgan & Claypool Publishers

Published: 2019-02-12

Total Pages: 193

ISBN-13: 1681734850

DOWNLOAD EBOOK

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.


Book Synopsis Non-Volatile Memory Database Management Systems by : Joy Arulraj

Download or read book Non-Volatile Memory Database Management Systems written by Joy Arulraj and published by Morgan & Claypool Publishers. This book was released on 2019-02-12 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

In-Memory Database Management Systems

In-Memory Database Management Systems

Author: Gerardus Blokdyk

Publisher: Createspace Independent Publishing Platform

Published: 2018-04

Total Pages: 136

ISBN-13: 9781987412413

DOWNLOAD EBOOK

Who will be responsible for deciding whether In-Memory Database Management Systems goes ahead or not after the initial investigations? Are there any easy-to-implement alternatives to In-Memory Database Management Systems? Sometimes other solutions are available that do not require the cost implications of a full-blown project? How does the In-Memory Database Management Systems manager ensure against scope creep? Risk factors: what are the characteristics of In-Memory Database Management Systems that make it risky? Will team members regularly document their In-Memory Database Management Systems work? This valuable In-Memory Database Management Systems self-assessment will make you the accepted In-Memory Database Management Systems domain expert by revealing just what you need to know to be fluent and ready for any In-Memory Database Management Systems challenge. How do I reduce the effort in the In-Memory Database Management Systems work to be done to get problems solved? How can I ensure that plans of action include every In-Memory Database Management Systems task and that every In-Memory Database Management Systems outcome is in place? How will I save time investigating strategic and tactical options and ensuring In-Memory Database Management Systems costs are low? How can I deliver tailored In-Memory Database Management Systems advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all In-Memory Database Management Systems essentials are covered, from every angle: the In-Memory Database Management Systems self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that In-Memory Database Management Systems outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced In-Memory Database Management Systems practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in In-Memory Database Management Systems are maximized with professional results. Your purchase includes access details to the In-Memory Database Management Systems self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book.


Book Synopsis In-Memory Database Management Systems by : Gerardus Blokdyk

Download or read book In-Memory Database Management Systems written by Gerardus Blokdyk and published by Createspace Independent Publishing Platform. This book was released on 2018-04 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Who will be responsible for deciding whether In-Memory Database Management Systems goes ahead or not after the initial investigations? Are there any easy-to-implement alternatives to In-Memory Database Management Systems? Sometimes other solutions are available that do not require the cost implications of a full-blown project? How does the In-Memory Database Management Systems manager ensure against scope creep? Risk factors: what are the characteristics of In-Memory Database Management Systems that make it risky? Will team members regularly document their In-Memory Database Management Systems work? This valuable In-Memory Database Management Systems self-assessment will make you the accepted In-Memory Database Management Systems domain expert by revealing just what you need to know to be fluent and ready for any In-Memory Database Management Systems challenge. How do I reduce the effort in the In-Memory Database Management Systems work to be done to get problems solved? How can I ensure that plans of action include every In-Memory Database Management Systems task and that every In-Memory Database Management Systems outcome is in place? How will I save time investigating strategic and tactical options and ensuring In-Memory Database Management Systems costs are low? How can I deliver tailored In-Memory Database Management Systems advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all In-Memory Database Management Systems essentials are covered, from every angle: the In-Memory Database Management Systems self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that In-Memory Database Management Systems outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced In-Memory Database Management Systems practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in In-Memory Database Management Systems are maximized with professional results. Your purchase includes access details to the In-Memory Database Management Systems self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book.

Database Internals

Database Internals

Author: Alex Petrov

Publisher: O'Reilly Media

Published: 2019-09-13

Total Pages: 373

ISBN-13: 1492040312

DOWNLOAD EBOOK

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency


Book Synopsis Database Internals by : Alex Petrov

Download or read book Database Internals written by Alex Petrov and published by O'Reilly Media. This book was released on 2019-09-13 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency

In-Memory Data Management

In-Memory Data Management

Author: Hasso Plattner

Publisher: Springer Science & Business Media

Published: 2012-04-17

Total Pages: 286

ISBN-13: 3642295754

DOWNLOAD EBOOK

In the last fifty years the world has been completely transformed through the use of IT. We have now reached a new inflection point. This book presents, for the first time, how in-memory data management is changing the way businesses are run. Today, enterprise data is split into separate databases for performance reasons. Multi-core CPUs, large main memories, cloud computing and powerful mobile devices are serving as the foundation for the transition of enterprises away from this restrictive model. This book provides the technical foundation for processing combined transactional and analytical operations in the same database. In the year since we published the first edition of this book, the performance gains enabled by the use of in-memory technology in enterprise applications has truly marked an inflection point in the market. The new content in this second edition focuses on the development of these in-memory enterprise applications, showing how they leverage the capabilities of in-memory technology. The book is intended for university students, IT-professionals and IT-managers, but also for senior management who wish to create new business processes.


Book Synopsis In-Memory Data Management by : Hasso Plattner

Download or read book In-Memory Data Management written by Hasso Plattner and published by Springer Science & Business Media. This book was released on 2012-04-17 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last fifty years the world has been completely transformed through the use of IT. We have now reached a new inflection point. This book presents, for the first time, how in-memory data management is changing the way businesses are run. Today, enterprise data is split into separate databases for performance reasons. Multi-core CPUs, large main memories, cloud computing and powerful mobile devices are serving as the foundation for the transition of enterprises away from this restrictive model. This book provides the technical foundation for processing combined transactional and analytical operations in the same database. In the year since we published the first edition of this book, the performance gains enabled by the use of in-memory technology in enterprise applications has truly marked an inflection point in the market. The new content in this second edition focuses on the development of these in-memory enterprise applications, showing how they leverage the capabilities of in-memory technology. The book is intended for university students, IT-professionals and IT-managers, but also for senior management who wish to create new business processes.

Main Memory Database Systems

Main Memory Database Systems

Author: Frans Faerber

Publisher: Foundations and Trends in Databases

Published: 2017-07-20

Total Pages: 144

ISBN-13: 9781680833249

DOWNLOAD EBOOK

With growing memory sizes and memory prices dropping by a factor of 10 every 5 years, data having a "primary home" in memory is now a reality. Main-memory databases eschew many of the traditional architectural pillars of relational database systems that optimized for disk-resident data. The result of these memory-optimized designs are systems that feature several innovative approaches to fundamental issues (e.g., concurrency control, query processing) that achieve orders of magnitude performance improvements over traditional designs. This monograph provides an overview of recent developments in main-memory database systems. It covers five main issues and architectural choices that need to be made when building a high performance main-memory optimized database: data organization and storage, indexing, concurrency control, durability and recovery techniques, and query processing and compilation. The monograph focuses on four commercial and research systems: H-Store/VoltDB, Hekaton, HyPer, and SAPHANA. These systems are diverse in their design choices and form a representative sample of the state of the art in main-memory database systems. It also covers other commercial and academic systems, along with current and future research trends.


Book Synopsis Main Memory Database Systems by : Frans Faerber

Download or read book Main Memory Database Systems written by Frans Faerber and published by Foundations and Trends in Databases. This book was released on 2017-07-20 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: With growing memory sizes and memory prices dropping by a factor of 10 every 5 years, data having a "primary home" in memory is now a reality. Main-memory databases eschew many of the traditional architectural pillars of relational database systems that optimized for disk-resident data. The result of these memory-optimized designs are systems that feature several innovative approaches to fundamental issues (e.g., concurrency control, query processing) that achieve orders of magnitude performance improvements over traditional designs. This monograph provides an overview of recent developments in main-memory database systems. It covers five main issues and architectural choices that need to be made when building a high performance main-memory optimized database: data organization and storage, indexing, concurrency control, durability and recovery techniques, and query processing and compilation. The monograph focuses on four commercial and research systems: H-Store/VoltDB, Hekaton, HyPer, and SAPHANA. These systems are diverse in their design choices and form a representative sample of the state of the art in main-memory database systems. It also covers other commercial and academic systems, along with current and future research trends.

In-Memory Data Management

In-Memory Data Management

Author: Hasso Plattner

Publisher: Springer Science & Business Media

Published: 2011-03-08

Total Pages: 245

ISBN-13: 3642193633

DOWNLOAD EBOOK

In the last 50 years the world has been completely transformed through the use of IT. We have now reached a new inflection point. Here we present, for the first time, how in-memory computing is changing the way businesses are run. Today, enterprise data is split into separate databases for performance reasons. Analytical data resides in warehouses, synchronized periodically with transactional systems. This separation makes flexible, real-time reporting on current data impossible. Multi-core CPUs, large main memories, cloud computing and powerful mobile devices are serving as the foundation for the transition of enterprises away from this restrictive model. We describe techniques that allow analytical and transactional processing at the speed of thought and enable new ways of doing business. The book is intended for university students, IT-professionals and IT-managers, but also for senior management who wish to create new business processes by leveraging in-memory computing.


Book Synopsis In-Memory Data Management by : Hasso Plattner

Download or read book In-Memory Data Management written by Hasso Plattner and published by Springer Science & Business Media. This book was released on 2011-03-08 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last 50 years the world has been completely transformed through the use of IT. We have now reached a new inflection point. Here we present, for the first time, how in-memory computing is changing the way businesses are run. Today, enterprise data is split into separate databases for performance reasons. Analytical data resides in warehouses, synchronized periodically with transactional systems. This separation makes flexible, real-time reporting on current data impossible. Multi-core CPUs, large main memories, cloud computing and powerful mobile devices are serving as the foundation for the transition of enterprises away from this restrictive model. We describe techniques that allow analytical and transactional processing at the speed of thought and enable new ways of doing business. The book is intended for university students, IT-professionals and IT-managers, but also for senior management who wish to create new business processes by leveraging in-memory computing.

Multimedia Database Management Systems

Multimedia Database Management Systems

Author: B. Thuraisingham

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 152

ISBN-13: 1461561493

DOWNLOAD EBOOK

Multimedia Database Management Systems brings together in one place important contributions and up-to-date research results in this important area. Multimedia Database Management Systems serves as an excellent reference, providing insight into some of the most important research issues in the field.


Book Synopsis Multimedia Database Management Systems by : B. Thuraisingham

Download or read book Multimedia Database Management Systems written by B. Thuraisingham and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multimedia Database Management Systems brings together in one place important contributions and up-to-date research results in this important area. Multimedia Database Management Systems serves as an excellent reference, providing insight into some of the most important research issues in the field.

In-Memory Data Management

In-Memory Data Management

Author: Hasso Plattner

Publisher: Springer Science & Business Media

Published: 2012-05-14

Total Pages: 286

ISBN-13: 3642295746

DOWNLOAD EBOOK

This book examines for the first time, the ways that in-memory computing is changing the way businesses are run. The authors describe techniques that allow analytical and transactional processing at the speed of thought and enable new ways of doing business.


Book Synopsis In-Memory Data Management by : Hasso Plattner

Download or read book In-Memory Data Management written by Hasso Plattner and published by Springer Science & Business Media. This book was released on 2012-05-14 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines for the first time, the ways that in-memory computing is changing the way businesses are run. The authors describe techniques that allow analytical and transactional processing at the speed of thought and enable new ways of doing business.

Data Management on New Hardware

Data Management on New Hardware

Author: Spyros Blanas

Publisher: Springer

Published: 2017-03-21

Total Pages: 167

ISBN-13: 3319561111

DOWNLOAD EBOOK

This book contains selected papers from the 7th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, ADMS 2016, and the 4th International Workshop on In-Memory Data Management and Analytics, IMDM 2016, held in New Dehli, India, in September 2016. The joint Workshops were co-located with VLDB 2016. The 9 papers presented were carefully reviewed and selected from 18 submissions. They investigate opportunities in accelerating analytics/data management systems and workloads (including traditional OLTP, data warehousing/OLAP, ETL streaming/real-time, business analytics, and XML/RDF processing) running memory-only environments, using processors (e.g. commodity and specialized multi-core, GPUs and FPGAs, storage systems (e.g. storage-class memories like SSDs and phase-change memory), and hybrid programming models like CUDA, OpenCL, and Open ACC. The papers also explore the interplay between overall system design, core algorithms, query optimization strategies, programming approaches, performance modeling and evaluation, from the perspective of data management applications.


Book Synopsis Data Management on New Hardware by : Spyros Blanas

Download or read book Data Management on New Hardware written by Spyros Blanas and published by Springer. This book was released on 2017-03-21 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains selected papers from the 7th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, ADMS 2016, and the 4th International Workshop on In-Memory Data Management and Analytics, IMDM 2016, held in New Dehli, India, in September 2016. The joint Workshops were co-located with VLDB 2016. The 9 papers presented were carefully reviewed and selected from 18 submissions. They investigate opportunities in accelerating analytics/data management systems and workloads (including traditional OLTP, data warehousing/OLAP, ETL streaming/real-time, business analytics, and XML/RDF processing) running memory-only environments, using processors (e.g. commodity and specialized multi-core, GPUs and FPGAs, storage systems (e.g. storage-class memories like SSDs and phase-change memory), and hybrid programming models like CUDA, OpenCL, and Open ACC. The papers also explore the interplay between overall system design, core algorithms, query optimization strategies, programming approaches, performance modeling and evaluation, from the perspective of data management applications.