Non Volatile Memory Database Management Systems

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Non-Volatile Memory Database Management Systems

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Author : Joy Arulraj
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681734850
Total Pages : 193 pages
Book Rating : 4.6/5 (817 download)

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.

Non-Volatile Memory Database Management Systems

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Author : Joy Arulraj
Publisher : Springer Nature
ISBN 13 : 3031018680
Total Pages : 173 pages
Book Rating : 4.0/5 (31 download)

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.

Data Management on Non-volatile Memory: from Mobile Applications to Large-scale Databases

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Author :
Publisher :
ISBN 13 :
Total Pages : 119 pages
Book Rating : 4.:/5 (11 download)

Book Synopsis Data Management on Non-volatile Memory: from Mobile Applications to Large-scale Databases by :

Download or read book Data Management on Non-volatile Memory: from Mobile Applications to Large-scale Databases written by and published by . This book was released on 2019 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: The non-volatile memory technique advanced rapidly in recent years. First, mature NAND flash memory is getting cheaper and denser. It has impacted our daily life. Second, emerging persistent memory technologies such as 3d XPoint have demonstrated great potentials in revolutionizing modern memory hierarchy. In this research, we first carry out a project on the mature NAND-flash-based solid state drives. We propose a new RAID5 technique called CR5M to enhance data reliability within a single SSD for safety-critical mobile applications. We also proposed an associated data reconstruction strategy called MCR to further shrink the window of vulnerability. Compared with traditional RAID5, CR5M can achieve up to 40.2% performance improvement. The data recovery speed is also improved by 7.5%. Because persistent memory is byte-addressable and has near-DRAM access speed, it exhibits a huge potential to build a hybrid memory system where both DRAM and PM are directly connected to a CPU. We designed a concurrent hash-assisted radix tree for DRAM-PM Hybrid Memory Systems. In such a system, an efficient indexing data structure such as a persistent tree becomes an indispensable component. Designing a capable persistent tree, however, is challenging as it has to ensure consistency, persistence, and scalability without substantially degrading performance. We propose a novel concurrent and persistent tree called HART (Hash-assisted ART), which employs a hash table to manage ARTs. HART not only optimize its performance but also prevent persistent memory leaks. In most cases, HART significantly outperforms WOART and FPTree, two state-of-the-art persistent trees. Also, it scales well in concurrent scenarios. Then, we proposed multi-hashing, a dual-level hash table indexing for a highperformance, large-capacity, and low-cost in-memory database. Multi-hashing is also built on a DRAM-PM hybrid memory system. On the DRAM level, an indexing structure is designed to be memory-efficient to manage hot indexes. On the PM level, another indexing data structure is designed to be performance-optimized. The indexes in DRAM will be merged into PM periodically. Our experimental results show that multi-hashing shows better performance under Sparse workloads when compared with HART. It also consumes less memory under both Dense and Sparse workloads.

High-performance Main Memory Database Management Systems

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Author :
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (861 download)

Book Synopsis High-performance Main Memory Database Management Systems by :

Download or read book High-performance Main Memory Database Management Systems written by and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision makers today want to analyze constantly evolving datasets of unprecedented volume and complexity in real time. This poses a significant challenge for the underlying data management system. In the past, data processing could scale to meet the growing demand with few changes to the individual software components mainly due to a sustained improvement in single-threaded processor performance. Because of fundamental technological limitations, however, single-processor performance has recently been increasing much more slowly than in the past. It is not uncommon today for a single database server to be able to concurrently execute instructions from hundreds of threads and store terabytes of data in main memory. Commercial database management systems, however, have not been designed for such hardware; they treat main memory as a vast software-controlled cache, and commonly rely on multiple concurrent requests to fully utilize a modern system. My thesis is that we can improve data processing efficiency by one order of mangitude if we redesign the data processing kernel to better leverage existing hardware. This dissertation makes three contributions to main memory database management systems. The first contribution is a simple non-partitioned hash join for memory-resident data that has comparable performance with much more sophisticated hash join methods. The second contribution is demonstrating that hash join plans are commonly advantageous over sort-merge join plans in a main-memory setting because they commonly have shorter query response times while reserving less working memory. The third contribution is the design and implementation of two multi-version concurrency control schemes that are optimized for main memory storage, and can achieve throughputs of millions of transactions per second without sacrificing transactional atomicity, isolation or durability. This dissertation points to promising directions for future performance improvements in the database system kernel, and identifies key open problems in the areas of query execution, transaction processing and query optimization.

In-Memory Data Management

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Author : Hasso Plattner
Publisher : Springer Science & Business Media
ISBN 13 : 3642295754
Total Pages : 286 pages
Book Rating : 4.6/5 (422 download)

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.

Building a Columnar Database on RAMCloud

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Author : Christian Tinnefeld
Publisher : Springer
ISBN 13 : 3319207113
Total Pages : 139 pages
Book Rating : 4.3/5 (192 download)

Book Synopsis Building a Columnar Database on RAMCloud by : Christian Tinnefeld

Download or read book Building a Columnar Database on RAMCloud written by Christian Tinnefeld and published by Springer. This book was released on 2015-07-07 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the field of parallel database management systems and illustrates the great variety of solutions based on a shared-storage or a shared-nothing architecture. Constantly dropping memory prices and the desire to operate with low-latency responses on large sets of data paved the way for main memory-based parallel database management systems. However, this area is currently dominated by the shared-nothing approach in order to preserve the in-memory performance advantage by processing data locally on each server. The main argument this book makes is that such an unilateral development will cease due to the combination of the following three trends: a) Today’s network technology features remote direct memory access (RDMA) and narrows the performance gap between accessing main memory on a server and of a remote server to and even below a single order of magnitude. b) Modern storage systems scale gracefully, are elastic and provide high-availability. c) A modern storage system such as Stanford’s RAM Cloud even keeps all data resident in the main memory. Exploiting these characteristics in the context of a main memory-based parallel database management system is desirable. The book demonstrates that the advent of RDMA-enabled network technology makes the creation of a parallel main memory DBMS based on a shared-storage approach feasible.

Main Memory Database Systems

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Author : Frans Faerber
Publisher : Foundations and Trends in Databases
ISBN 13 : 9781680833249
Total Pages : 144 pages
Book Rating : 4.8/5 (332 download)

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 Database Management Systems Second Edition

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Author : Gerardus Blokdyk
Publisher :
ISBN 13 : 9780655112457
Total Pages : 0 pages
Book Rating : 4.1/5 (124 download)

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

Download or read book In-Memory Database Management Systems Second Edition written by Gerardus Blokdyk and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Database Internals

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Author : Alex Petrov
Publisher : O'Reilly Media
ISBN 13 : 1492040312
Total Pages : 373 pages
Book Rating : 4.4/5 (92 download)

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

System Support for Software Fault Tolerance in Highly Available Database Management Systems

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Author : Mark Paul Sullivan
Publisher :
ISBN 13 :
Total Pages : 514 pages
Book Rating : 4.:/5 (33 download)

Book Synopsis System Support for Software Fault Tolerance in Highly Available Database Management Systems by : Mark Paul Sullivan

Download or read book System Support for Software Fault Tolerance in Highly Available Database Management Systems written by Mark Paul Sullivan and published by . This book was released on 1992 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Memory Database Management System A Complete Guide - 2020 Edition

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Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655910350
Total Pages : 306 pages
Book Rating : 4.9/5 (13 download)

Book Synopsis Memory Database Management System A Complete Guide - 2020 Edition by : Gerardus Blokdyk

Download or read book Memory Database Management System A Complete Guide - 2020 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-08-30 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Act/Adjust: What Do you Need to Do Differently? Where is the data coming from to measure compliance? What are the performance and scale of the memory database management system tools? How will you measure the results? How would you define the culture at your organization, how susceptible is it to memory database management system changes? This premium Memory Database Management System self-assessment will make you the principal Memory Database Management System domain master by revealing just what you need to know to be fluent and ready for any Memory Database Management System challenge. How do I reduce the effort in the Memory Database Management System work to be done to get problems solved? How can I ensure that plans of action include every Memory Database Management System task and that every Memory Database Management System outcome is in place? How will I save time investigating strategic and tactical options and ensuring Memory Database Management System costs are low? How can I deliver tailored Memory Database Management System 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 Memory Database Management System essentials are covered, from every angle: the Memory Database Management System self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Memory Database Management System outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Memory Database Management System 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 Memory Database Management System are maximized with professional results. Your purchase includes access details to the Memory Database Management System 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. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Memory Database Management System Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

In-Memory Data Management

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Author : Hasso Plattner
Publisher : Springer Science & Business Media
ISBN 13 : 3642193633
Total Pages : 245 pages
Book Rating : 4.6/5 (421 download)

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.

Database Management Systems

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Author : Raghu Ramakrishnan
Publisher : McGraw-Hill Science, Engineering & Mathematics
ISBN 13 : 9780072465358
Total Pages : 0 pages
Book Rating : 4.4/5 (653 download)

Book Synopsis Database Management Systems by : Raghu Ramakrishnan

Download or read book Database Management Systems written by Raghu Ramakrishnan and published by McGraw-Hill Science, Engineering & Mathematics. This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Database Management Systems provides comprehensive and up-to-date coverage of the fundamentals of database systems. Coherent explanations and practical examples have made this one of the leading texts in the field. The third edition continues in this tradition, enhancing it with more practical material. The new edition has been reorganized to allow more flexibility in the way the course is taught. Now, instructors can easily choose whether they would like to teach a course which emphasizes database application development or a course that emphasizes database systems issues. New overview chapters at the beginning of parts make it possible to skip other chapters in the part if you don't want the detail. More applications and examples have been added throughout the book, including SQL and Oracle examples. The applied flavor is further enhanced by the two new database applications chapters.

Memory Database Management System A Complete Guide - 2020 Edition

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Author : Gerardus Blokdyk
Publisher :
ISBN 13 : 9780655960355
Total Pages : 0 pages
Book Rating : 4.9/5 (63 download)

Book Synopsis Memory Database Management System A Complete Guide - 2020 Edition by : Gerardus Blokdyk

Download or read book Memory Database Management System A Complete Guide - 2020 Edition written by Gerardus Blokdyk and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Memory Database Management System A Complete Guide - 2020 Edition.

Automatic Tiering for In-Memory Database Systems

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Author : Markus Dreseler
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (134 download)

Book Synopsis Automatic Tiering for In-Memory Database Systems by : Markus Dreseler

Download or read book Automatic Tiering for In-Memory Database Systems written by Markus Dreseler and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A decade ago, it became feasible to store multi-terabyte databases in main memory. These in-memory databases (IMDBs) profit from DRAM's low latency and high throughput as well as from the removal of costly abstractions used in disk-based systems, such as the buffer cache. However, as the DRAM technology approaches physical limits, scaling these databases becomes difficult. Non-volatile memory (NVM) addresses this challenge. This new type of memory is persistent, has more capacity than DRAM (4x), and does not suffer from its density-inhibiting limitations. Yet, as NVM has a higher latency (5-15x) and a lower throughput (0.35x), it cannot fully replace DRAM. IMDBs thus need to navigate the trade-off between the two memory tiers. We present a solution to this optimization problem. Leveraging information about access frequencies and patterns, our solution utilizes NVM's additional capacity while minimizing the associated access costs. Unlike buffer cache-based implementations, our tiering abstraction does not add any costs when reading ...

Programming Persistent Memory

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Author : Steve Scargall
Publisher : Apress
ISBN 13 : 1484249321
Total Pages : 384 pages
Book Rating : 4.4/5 (842 download)

Book Synopsis Programming Persistent Memory by : Steve Scargall

Download or read book Programming Persistent Memory written by Steve Scargall and published by Apress. This book was released on 2020-01-09 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times—a huge leap forward in byte-addressable capacity compared with current DRAM offerings. This revolutionary new technology gives applications significant performance and capacity improvements over existing technologies. It requires a new way of thinking and developing, which makes this highly disruptive to the IT/computing industry. The full spectrum of industry sectors that will benefit from this technology include, but are not limited to, in-memory and traditional databases, AI, analytics, HPC, virtualization, and big data. Programming Persistent Memory describes the technology and why it is exciting the industry. It covers the operating system and hardware requirements as well as how to create development environments using emulated or real persistent memory hardware. The book explains fundamental concepts; provides an introduction to persistent memory programming APIs for C, C++, JavaScript, and other languages; discusses RMDA with persistent memory; reviews security features; and presents many examples. Source code and examples that you can run on your own systems are included. What You’ll Learn Understand what persistent memory is, what it does, and the value it brings to the industry Become familiar with the operating system and hardware requirements to use persistent memory Know the fundamentals of persistent memory programming: why it is different from current programming methods, and what developers need to keep in mind when programming for persistence Look at persistent memory application development by example using the Persistent Memory Development Kit (PMDK)Design and optimize data structures for persistent memoryStudy how real-world applications are modified to leverage persistent memoryUtilize the tools available for persistent memory programming, application performance profiling, and debugging Who This Book Is For C, C++, Java, and Python developers, but will also be useful to software, cloud, and hardware architects across a broad spectrum of sectors, including cloud service providers, independent software vendors, high performance compute, artificial intelligence, data analytics, big data, etc.

Distributed Data Bases

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Author : I. W. Draffan
Publisher : CUP Archive
ISBN 13 : 9780521230919
Total Pages : 392 pages
Book Rating : 4.2/5 (39 download)

Book Synopsis Distributed Data Bases by : I. W. Draffan

Download or read book Distributed Data Bases written by I. W. Draffan and published by CUP Archive. This book was released on 1980 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: