Building a Columnar Database on RAMCloud

Name: Building a Columnar Database on RAMCloud
Brand: Springer International Publishing AG
SKU: 9783319373898
Price: 50.04 EUR
Availability: InStock

Database Design for the Low-Latency Enabled Data Center

Autor: Christian Tinnefeld

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer International Publishing AG

Dostupnosť: Skladom u dodávateľa

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This book examines the field of parallel database management systems and illustrates the great varie...

Informácie o knihe

Autor

Christian Tinnefeld

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2016

Stránok

130

EAN

9783319373898

ISBN

3319373897

Enbook ID

15194185

Vydavateľ

Springer International Publishing AG

Hmotnosť

2409

Rozmery

155 x 235 x 8

Kompletný popis

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.

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Building a Columnar Database on RAMCloud

Database Design for the Low-Latency Enabled Data Center

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