Articoli correlati a Building a Columnar Database on RAMCloud: Database...
Building a Columnar Database on RAMCloud: Database Design for the Low-Latency Enabled Data Center - Brossura
Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
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.
Dalla quarta di copertina
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 RAMCloud 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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Compra nuovo
Visualizza questo articolo
EUR 48,37
EUR 9,70 per la spedizione da Germania a Italia
Destinazione, tempi e costi
Risultati della ricerca per Building a Columnar Database on RAMCloud: Database...
Immagini fornite dal venditore
Building a Columnar Database on RAMCloud
Editore:
Springer International Publishing, 2016
ISBN 10: 3319373897
ISBN 13: 9783319373898
Nuovo
Brossura
Da: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: 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. Codice articolo 385704212
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Building a Columnar Database on RAMCloud
Editore:
Springer International Publishing Okt 2016, 2016
ISBN 10: 3319373897
ISBN 13: 9783319373898
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 152 pp. Englisch. Codice articolo 9783319373898
Quantità: 2 disponibili
Immagini fornite dal venditore
Building a Columnar Database on RAMCloud : Database Design for the Low-Latency Enabled Data Center
ISBN 10: 3319373897
ISBN 13: 9783319373898
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: 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. Codice articolo 9783319373898
Quantità: 1 disponibili
Immagini fornite dal venditore
Building a Columnar Database on RAMCloud
ISBN 10: 3319373897
ISBN 13: 9783319373898
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 152 pp. Englisch. Codice articolo 9783319373898
Quantità: 2 disponibili
Foto dell'editore
Building a Columnar Database on RAMCloud: Database Design for the Low-Latency Enabled Data Center (In-Memory Data Management Research)
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
Condizione: New. In. Codice articolo ria9783319373898_new
Quantità: Più di 20 disponibili
Foto dell'editore
Building a Columnar Database on Ramcloud: Database Design for the Low-latency Enabled Data Center
Editore:
Springer-Verlag New York Inc, 2016
ISBN 10: 3319373897
ISBN 13: 9783319373898
Nuovo
Paperback
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Brand New. reprint edition. 149 pages. 9.25x6.10x0.33 inches. In Stock. Codice articolo x-3319373897
Quantità: 2 disponibili
Foto dell'editore
Building a Columnar Database on RAMCloud : Database Design for the Low-Latency Enabled Data Center
Da: Chiron Media, Wallingford, Regno Unito
Valutazione del venditore 5 su 5 stelle
PF. Condizione: New. Codice articolo 6666-IUK-9783319373898
Quantità: 10 disponibili
Foto dell'editore
Building a Columnar Database on RAMCloud: Database Design for the Low-Latency Enabled Data Center (In-Memory Data Management Research)
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo ABLIING23Mar3113020095824
Quantità: Più di 20 disponibili
Foto dell'editore
Building a Columnar Database on RAMCloud: Database Design for the Low-Latency Enabled Data Center (In-Memory Data Management Research)
Da: Mispah books, Redhill, SURRE, Regno Unito
Valutazione del venditore 4 su 5 stelle
Paperback. Condizione: Like New. Like New. book. Codice articolo ERICA79633193738976
Quantità: 1 disponibili