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Author : Wolf-Steffen Rödiger
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (952 download)
Download or read book Scalable Distributed Query Processing in Parallel Main-memory Database Systems written by Wolf-Steffen Rödiger and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Frans Faerber
Publisher : Foundations and Trends in Databases
ISBN 13 : 9781680833249
Total Pages : 144 pages
Book Rating : 4.8/5 (332 download)
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.
Author : Hongjun Lu
Publisher : Institute of Electrical & Electronics Engineers(IEEE)
ISBN 13 :
Total Pages : 400 pages
Book Rating : 4.F/5 ( download)
Download or read book Query Processing in Parallel Relational Database Systems written by Hongjun Lu and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1994 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides readers with a background knowledge of parallel database query processing and optimization and covers recent developments in the field. Subjects include design approaches, architecture of parallel database systems, parallel sorting, parallel processing of join, data skew and load balancing,
Author : Tobias Mühlbauer
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (976 download)
Download or read book On Scalable and Flexible Transaction and Query Processing in Main-memory Database Systems written by Tobias Mühlbauer and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Qian Long (M. Eng.)
Publisher :
ISBN 13 :
Total Pages : 64 pages
Book Rating : 4.:/5 (933 download)
Download or read book Parallel Load and Query Processing in a Distributed Array Database written by Qian Long (M. Eng.) and published by . This book was released on 2015 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientists across many research domains collect large amounts of multi-dimensional data in their day to day work. They require high performance, scalable systems to manage and process their data. Oftentimes, the underlying distribution of these types of data is skewed and sparse, rather than dense and uniform. As input data sizes continue to grow at a rapid rate, main memory and storage capacity become bottlenecks on single machines. Thus, we look to distributed array databases as a long term solution for managing and querying this type of data. This thesis presents Multinode-TileDB, a distributed framework that extends TileDB, a new array database management system designed, from the ground up, to handle skewed and sparse arrays. We design the overall distributed architecture and propose and implement parallel algorithms for load, join, subarray, and filter while focusing on load balance and performance. Our experiments show speedup gains as cluster size increases and how different data partitioning schemes benefit the different parallel queries.
Author : Ling Liu
Publisher :
ISBN 13 : 9781489979933
Total Pages : pages
Book Rating : 4.9/5 (799 download)
Download or read book Encyclopedia of Database Systems written by Ling Liu and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : M. Tamer Özsu
Publisher : Springer Nature
ISBN 13 : 3030262537
Total Pages : 674 pages
Book Rating : 4.0/5 (32 download)
Download or read book Principles of Distributed Database Systems written by M. Tamer Özsu and published by Springer Nature. This book was released on 2019-12-02 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fourth edition of this classic textbook provides major updates. This edition has completely new chapters on Big Data Platforms (distributed storage systems, MapReduce, Spark, data stream processing, graph analytics) and on NoSQL, NewSQL and polystore systems. It also includes an updated web data management chapter that includes RDF and semantic web discussion, an integrated database integration chapter focusing both on schema integration and querying over these systems. The peer-to-peer computing chapter has been updated with a discussion of blockchains. The chapters that describe classical distributed and parallel database technology have all been updated. The new edition covers the breadth and depth of the field from a modern viewpoint. Graduate students, as well as senior undergraduate students studying computer science and other related fields will use this book as a primary textbook. Researchers working in computer science will also find this textbook useful. This textbook has a companion web site that includes background information on relational database fundamentals, query processing, transaction management, and computer networks for those who might need this background. The web site also includes all the figures and presentation slides as well as solutions to exercises (restricted to instructors).
Author : Abdelkader Hameurlain
Publisher : Springer
ISBN 13 : 366245761X
Total Pages : 133 pages
Book Rating : 4.6/5 (624 download)
Download or read book Transactions on Large-Scale Data- and Knowledge-Centered Systems XV written by Abdelkader Hameurlain and published by Springer. This book was released on 2014-12-11 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This special issue contains extended and revised versions of 4 papers, selected from the 25 papers presented at the satellite events associated with the 17th East-European Conference on Advances in Databases and Information Systems (ADBIS 2013), held on September 1-4, 2013 in Genoa, Italy. The three satellite events were GID 2013, the Second International Workshop on GPUs in Databases; SoBI 2013, the First International Workshop on Social Business Intelligence: Integrating Social Content in Decision Making; and OAIS 2013, the Second International Workshop on Ontologies Meet Advanced Information Systems. The papers cover various topics in large-scale data and knowledge-centered systems, including GPU-accelerated database systems and GPU-based compression for large time series databases, design of parallel data warehouses, and schema matching. The special issue content, which combines both theoretical and application-based contributions, gives a useful overview of some of the current trends in large-scale data and knowledge management and will stimulate new ideas for further research and development within both the scientific and industrial communities.
Author : Jianjun Chen
Publisher :
ISBN 13 :
Total Pages : 146 pages
Book Rating : 4.:/5 (89 download)
Download or read book Scalable Continuous Query Processing written by Jianjun Chen and published by . This book was released on 2002 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt:
![Download Query Processing for Distributed Main Memory Database Systems [microform] PDF Online Free](https://books.google.com/books/content/images/frontcover/yBDKwgEACAAJ?fife=w200-h370)
Author : Wang, Xiao
Publisher : National Library of Canada
ISBN 13 : 9780315488403
Total Pages : 134 pages
Book Rating : 4.4/5 (884 download)
Download or read book Query Processing for Distributed Main Memory Database Systems [microform] written by Wang, Xiao and published by National Library of Canada. This book was released on 1987 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Olivier Pivert
Publisher : John Wiley & Sons
ISBN 13 : 1119544149
Total Pages : 215 pages
Book Rating : 4.1/5 (195 download)
Download or read book NoSQL Data Models written by Olivier Pivert and published by John Wiley & Sons. This book was released on 2018-07-30 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: The topic of NoSQL databases has recently emerged, to face the Big Data challenge, namely the ever increasing volume of data to be handled. It is now recognized that relational databases are not appropriate in this context, implying that new database models and techniques are needed. This book presents recent research works, covering the following basic aspects: semantic data management, graph databases, and big data management in cloud environments. The chapters in this book report on research about the evolution of basic concepts such as data models, query languages, and new challenges regarding implementation issues.
Author : Md. Mahbub Alam
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (141 download)
Download or read book Parallel and In-memory Big Spatial Data Processing Systems and Benchmarking written by Md. Mahbub Alam and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the accelerated growth in spatial data volume, being generated from a wide variety of sources, the need for efficient storage, retrieval, processing and analyzing of spatial data is ever more important. Hence, the spatial data processing system has become an important field of research. Though the traditional relational database systems provide spatial functionality (such as, PostgreSQL with PostGIS), due to the lack of parallelism and I/O bottleneck, these systems are not efficient to run compute-intensive spatial queries on large datasets. In recent times a number of big spatial data systems have been proposed by researchers around the world. These systems can be roughly categorized into disk-based systems over Apache Hadoop and in memory systems based on Apache Spark. The available features supported by these systems vary widely. However, there has not been any comprehensive evaluation study of these systems in terms of performance, scalability, and functionality. In order to address this need, this thesis proposes a benchmark to evaluate big spatial data systems. It intends to investigate the present status of the big spatial data systems by conducting a comprehensive feature analysis and performance evaluation of a few representative systems. The Hadoop and Spark based big spatial data systems are distributed, scalable, and able to exploit the parallelism of today’s multi-core/many-core architecture. However, most of them are immature, unstable, difficult to extend and missing efficient query language like SQL. In this work, a disk based system Parallax is introduced as a parallel big spatial database system. It integrates the powerful spatial features of PostgreSQL/PostGIS and distributed persistence storage of Alluxio. The host-specific data partitioning and parallel query on local data in each node ensure the maximum utilization of main memory, disk storage, and CPU. This thesis also introduces an in-memory system SpatialIgnite, as extended spatial support for Apache Ignite. SpatialIgnite incorporates a spatial library which contains all the OGC compliant join predicates and spatial analysis functions. Along with query parallelism and collocated query processing of Ignite, the integrated spatial data partitioning techniques improve the performance of SpatialIgnite. The evaluation shows that Spatial Ignite performs better than Hadoop and Spark based systems.
Author : Anastasia Ailamaki
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681731541
Total Pages : 115 pages
Book Rating : 4.6/5 (817 download)
Download or read book Databases on Modern Hardware written by Anastasia Ailamaki and published by Morgan & Claypool Publishers. This book was released on 2017-08-14 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data management systems enable various influential applications from high-performance online services (e.g., social networks like Twitter and Facebook or financial markets) to big data analytics (e.g., scientific exploration, sensor networks, business intelligence). As a result, data management systems have been one of the main drivers for innovations in the database and computer architecture communities for several decades. Recent hardware trends require software to take advantage of the abundant parallelism existing in modern and future hardware. The traditional design of the data management systems, however, faces inherent scalability problems due to its tightly coupled components. In addition, it cannot exploit the full capability of the aggressive micro-architectural features of modern processors. As a result, today's most commonly used server types remain largely underutilized leading to a huge waste of hardware resources and energy. In this book, we shed light on the challenges present while running DBMS on modern multicore hardware. We divide the material into two dimensions of scalability: implicit/vertical and explicit/horizontal. The first part of the book focuses on the vertical dimension: it describes the instruction- and data-level parallelism opportunities in a core coming from the hardware and software side. In addition, it examines the sources of under-utilization in a modern processor and presents insights and hardware/software techniques to better exploit the microarchitectural resources of a processor by improving cache locality at the right level of the memory hierarchy. The second part focuses on the horizontal dimension, i.e., scalability bottlenecks of database applications at the level of multicore and multisocket multicore architectures. It first presents a systematic way of eliminating such bottlenecks in online transaction processing workloads, which is based on minimizing unbounded communication, and shows several techniques that minimize bottlenecks in major components of database management systems. Then, it demonstrates the data and work sharing opportunities for analytical workloads, and reviews advanced scheduling mechanisms that are aware of nonuniform memory accesses and alleviate bandwidth saturation.
Author : Olivier Curé
Publisher : Morgan Kaufmann
ISBN 13 : 0128004703
Total Pages : 256 pages
Book Rating : 4.1/5 (28 download)
Download or read book RDF Database Systems written by Olivier Curé and published by Morgan Kaufmann. This book was released on 2014-11-24 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: RDF Database Systems is a cutting-edge guide that distills everything you need to know to effectively use or design an RDF database. This book starts with the basics of linked open data and covers the most recent research, practice, and technologies to help you leverage semantic technology. With an approach that combines technical detail with theoretical background, this book shows how to design and develop semantic web applications, data models, indexing and query processing solutions. Understand the Semantic Web, RDF, RDFS, SPARQL, and OWL within the context of relational database management and NoSQL systems Learn about the prevailing RDF triples solutions for both relational and non-relational databases, including column family, document, graph, and NoSQL Implement systems using RDF data with helpful guidelines and various storage solutions for RDF Process SPARQL queries with detailed explanations of query optimization, query plans, caching, and more Evaluate which approaches and systems to use when developing Semantic Web applications with a helpful description of commercial and open-source systems
Author : Wei Hong
Publisher :
ISBN 13 :
Total Pages : 310 pages
Book Rating : 4.:/5 (33 download)
Download or read book Parallel Query Processing Using Shared Memory Multiprocessors and Disk Arrays written by Wei Hong and published by . This book was released on 1992 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : M. Tamer Özsu
Publisher : Springer Science & Business Media
ISBN 13 : 1441988343
Total Pages : 856 pages
Book Rating : 4.4/5 (419 download)
Download or read book Principles of Distributed Database Systems written by M. Tamer Özsu and published by Springer Science & Business Media. This book was released on 2011-02-24 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt: This third edition of a classic textbook can be used to teach at the senior undergraduate and graduate levels. The material concentrates on fundamental theories as well as techniques and algorithms. The advent of the Internet and the World Wide Web, and, more recently, the emergence of cloud computing and streaming data applications, has forced a renewal of interest in distributed and parallel data management, while, at the same time, requiring a rethinking of some of the traditional techniques. This book covers the breadth and depth of this re-emerging field. The coverage consists of two parts. The first part discusses the fundamental principles of distributed data management and includes distribution design, data integration, distributed query processing and optimization, distributed transaction management, and replication. The second part focuses on more advanced topics and includes discussion of parallel database systems, distributed object management, peer-to-peer data management, web data management, data stream systems, and cloud computing. New in this Edition: • New chapters, covering database replication, database integration, multidatabase query processing, peer-to-peer data management, and web data management. • Coverage of emerging topics such as data streams and cloud computing • Extensive revisions and updates based on years of class testing and feedback Ancillary teaching materials are available.
Author : Christian Tinnefeld
Publisher : Springer
ISBN 13 : 3319207113
Total Pages : 139 pages
Book Rating : 4.3/5 (192 download)
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.
