Description: Building a Columnar Database on RAMCloud Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Database Design for the Low-Latency Enabled Data Center Author(s): Christian Tinnefeld Format: Paperback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319373898, 978-3319373898 Synopsis 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.
Price: 38.07 GBP
Location: Aldershot
End Time: 2025-02-05T09:04:02.000Z
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Book Title: Building a Columnar Database on RAMCloud
Number of Pages: 130 Pages
Language: English
Publication Name: Building a Columnar Database on Ramcloud: Database Design for the Low-Latency Enabled Data Center
Publisher: Springer International Publishing A&G
Publication Year: 2016
Subject: Computer Science, Business
Item Height: 235 mm
Item Weight: 2409 g
Type: Textbook
Author: Christian Tinnefeld
Series: In-Memory Data Management Research
Item Width: 155 mm
Format: Paperback