Building a Columnar Database on Ramcloud
Tinnefeld, Christian
ISBN 10: 3319373897 ISBN 13: 9783319373898
Edité par Springer International Publishing AG, 2016
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A propos de cet article
Description :
Series: In-Memory Data Management Research. Num Pages: 149 pages, 37 black & white illustrations, biography. BIC Classification: KJQ; UKS; UNF. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 8. Weight in Grams: 244. . 2016. Paperback. . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9783319373898
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.
À propos de l?auteur:
Dr. Christian Tinnefeld received his B.Sc. and M.Sc. degrees from the Hasso Plattner Institute at the University of Potsdam, Germany, where he also pursued his doctoral studies. His main research interests are In-Memory Databases and Cloud Computing. In the former area, he has been collaborating with SAP for six years and contributed to initial concepts of the SAP HANA database. In the latter area, Christian has been collaborating with the RAM Cloud Project at Stanford University, California, USA for three years.
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Titre : Building a Columnar Database on Ramcloud
Éditeur : Springer International Publishing AG
Date d'édition : 2016
Reliure : Couverture souple
Etat : New
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Building a Columnar Database on RAMCloud
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ISBN 10 : 3319373897
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensively analyzes existing and new solutions for disk-based parallel database management systemsDemonstrates the feasibility of a parallel main memory DBMS based on shared-storageProvides a showcase for creating a columnar databa. N° de réf. du vendeur 385704212
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Building a Columnar Database on RAMCloud: Database Design for the Low-Latency Enabled Data Center (In-Memory Data Management Research)
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783319373898
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Building a Columnar Database on RAMCloud
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ISBN 10 : 3319373897
ISBN 13 : 9783319373898
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