Name: Building a Columnar Database on Ramcloud: Database Design for the Low-Latency Enabled Data Center (en Inglés)
Price: 65.02 USD
Availability: InStock
Author: Tinnefeld, Christian
ISBN: 9783319373898

portada Building a Columnar Database on Ramcloud: Database Design for the Low-Latency Enabled Data Center (en Inglés)

Building a Columnar Database on Ramcloud: Database Design for the Low-Latency Enabled Data Center (en Inglés)

Formato

Libro Físico

Autor

Christian Tinnefeld

Editorial

Springer

Idioma

Inglés

N° páginas

130

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 0.8 cm

Peso

0.22 kg.

ISBN13

9783319373898

Categorías

Software empresarial
Hardware (o soporte físico del ordenador)
Bases de datos

Building a Columnar Database on Ramcloud: Database Design for the Low-Latency Enabled Data Center (en Inglés)

Christian Tinnefeld (Autor) · Springer · Tapa Blanda

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Reseña del libro "Building a Columnar Database on Ramcloud: Database Design for the Low-Latency Enabled Data Center (en Inglés)"

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.