Main Memory Database Systems
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Main Memory Database Systems
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Author : Frans Faerber
language : en
Publisher: Foundations and Trends in Databases
Release Date : 2017-07-20
Main Memory Database Systems written by Frans Faerber and has been published by Foundations and Trends in Databases this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-20 with Probabilistic databases categories.
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.
Implementation Techniques For Main Memory Database Systems
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Author : University of California, Berkeley. Electronics Research Laboratory. POSTGRES Project
language : en
Publisher:
Release Date : 1984
Implementation Techniques For Main Memory Database Systems written by University of California, Berkeley. Electronics Research Laboratory. POSTGRES Project and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Database management categories.
With the availability of very large, relatively inexpensive main memories, it is becoming possible to keep large databases resident in main memory. This paper considers the changes necessary to permit a relational database system to take advantage of large amounts of main memory. The authors evaluate AVL vs. B+- tree access methods for main memory databases, hash-based query processing strategies vs. sort-merge, and study recovery issues when most or all of the database fits in main memory. As expected, B+- trees are the preferred storage mechanism unless more than 80-90% of the database fits in main memory. A somewhat surprising result is that hash based query processing strategies are advantageous for large memory situations. Keywords: Access; Algorithms. (Author).
Main Memory Database Systems
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Author : Franz Faerber
language : en
Publisher:
Release Date : 2017
Main Memory Database Systems written by Franz Faerber and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Computer storage devices categories.
This article provides an overview of recent developments in main-memory database systems. 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. Our survey 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. We focus our survey on four commercial and research systems: H-Store/VoltDB, Hekaton, HyPer, and SAP HANA. These systems are diverse in their design choices and form a representative sample of the state of the art in main-memory database systems. We also cover other commercial and academic systems, along with current and future research trends.
Main Memory Management On Relational Database Systems
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Author : Pedro Mejia Alvarez
language : en
Publisher: Springer Nature
Release Date : 2022-09-13
Main Memory Management On Relational Database Systems written by Pedro Mejia Alvarez and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-13 with Computers categories.
This book provides basic knowledge about main memory management in relational databases as it is needed to support large-scale applications processed completely in memory. In business operations, real-time predictability and high speed is a must. Hence every opportunity must be exploited to improve performance, including reducing dependency on the hard disk, adding more memory to make more data resident in the memory, and even deploying an in-memory system where all data can be kept in memory. The book provides one chapter for each of the main related topics, i.e. the memory system, memory management, virtual memory, and databases and their memory systems, and it is complemented by a short survey of six commercial systems: TimesTen, MySQL, VoltDB, Hekaton, HyPer/ScyPer, and SAP HANA.
Main Memory Databases
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Author : Sahir K. Mehta
language : en
Publisher:
Release Date : 1996
Main Memory Databases written by Sahir K. Mehta and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Database management categories.
"The declining cost of main memory coupled with higher performance expectations has inspired researchers and developers to look into systems with massive amounts of memory, especially for systems with databases. When memory is large enough, an entire database can permanently reside in main memory. These database systems are known as memory resident database or Main Memory DataBase (MMDB) systems. When a database is a main memory resident, systems can achieve significant performance improvements over traditional disk-based database systems by eliminating the overhead required to perform Input/Output operations. However, the problem of crash recovery becomes by far the most challenging issue in MMDB systems, since it can occur frequently and cause a drastic crisis by wiping out the entire content of the database. The kind of crisis that can be encountered due to memory failures, the way to prevent them from occuring in the first place, methods of dealing with them upon their occurance, strategies to make the system more reliable to avoid them in the future, and several other issues like these must be well understood. Approaches to deal with crash recoveries must be sound, well designed, and correctly implemented. The objective of this thesis is to study some of the pioneering works of researchers and developers in the area of MMDB recovery and to perform an in-depth analysis of MMDB recovery issues and approaches taken by several major recovery techniques. The analysis examines the reasons for these techniques, design and architecture, and their benefits and limitations over one another. My independent evaluation of the relative benefits and limitations of each technique coupled with marketablitiy analysis is also presented. The approach used in this study is different from that of other studies that have been published so far in this area. In this study, the reader is given a basic introduction to the topic and then gradually taken through the final stages of analysis and comparison of several recovery techniques."--Author's abstract.
Concurrency In Main Memory Database Systems
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Author : Henrik Mühe
language : en
Publisher:
Release Date : 2014
Concurrency In Main Memory Database Systems written by Henrik Mühe and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
Real Time Database Systems
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Author : Azer Bestavros
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Real Time Database Systems written by Azer Bestavros and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Despite the growing interest in Real-Time Database Systems, there is no single book that acts as a reference to academics, professionals, and practitioners who wish to understand the issues involved in the design and development of RTDBS. Real-Time Database Systems: Issues and Applications fulfills this need. This book presents the spectrum of issues that may arise in various real-time database applications, the available solutions and technologies that may be used to address these issues, and the open problems that need to be tackled in the future. With rapid advances in this area, several concepts have been proposed without a widely accepted consensus on their definitions and implications. To address this need, the first chapter is an introduction to the key RTDBS concepts and definitions, which is followed by a survey of the state of the art in RTDBS research and practice. The remainder of the book consists of four sections: models and paradigms, applications and benchmarks, scheduling and concurrency control, and experimental systems. The chapters in each section are contributed by experts in the respective areas. Real-Time Database Systems: Issues and Applications is primarily intended for practicing engineers and researchers working in the growing area of real-time database systems. For practitioners, the book will provide a much needed bridge for technology transfer and continued education. For researchers, this book will provide a comprehensive reference for well-established results. This book can also be used in a senior or graduate level course on real-time systems, real-time database systems, and database systems or closely related courses.
In Memory Data Management
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Author : Hasso Plattner
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-04-17
In Memory Data Management written by Hasso Plattner and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-17 with Business & Economics categories.
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.
In Memory Data Management
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Author : Hasso Plattner
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-03-08
In Memory Data Management written by Hasso Plattner and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-08 with Business & Economics categories.
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.
Query Processing For Distributed Main Memory Database Systems Microform
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Author : Wang, Xiao
language : en
Publisher: National Library of Canada
Release Date : 1987
Query Processing For Distributed Main Memory Database Systems Microform written by Wang, Xiao and has been published by National Library of Canada this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Database management categories.