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Carte Building a Columnar Database on RAMCloud Christian Tinnefeld

Building a Columnar Database on RAMCloud

Database Design for the Low-Latency Enabled Data Center

Autor: Christian Tinnefeld
Limbă: engleză
Legare: Copertă tare
Editura: Springer International Publishing AG
Disponibilitate: În depozitul extern
Expediem în 10-13 zile
276.36 lei
This book examines the field of parallel database management systems and illustrates the great varie...

Informații despre carte

Autor
Christian Tinnefeld
Limbă
engleză
Legare
Carte - Copertă tare
Publicat
2015
Pagini
130
EAN
9783319207100
ISBN
3319207105
Enbook ID
09354171
Editura
Springer International Publishing AG
Greutate
3554
Dimensiuni
155 x 235 x 244

Descriere completă

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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