Isbn: 9783319373898 - building a columnar database on ramcloud: database design for the low-latency enabled data center (15 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2016

    3319373897 / 9783319373898

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    Editore: Springer 2016-10-17, 2016

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  • Lingua: Inglese

    Editore: Springer, 2016

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  • Lingua: Inglese

    Editore: Springer, 2016

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    Condizione: New. pp. 152 Softcover reprint of the original 1st ed. 2016 edition NO-PA16APR2015-KAP.

  • Lingua: Inglese

    Editore: Springer, 2016

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    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.…

  • Lingua: Inglese

    Editore: Springer-Verlag New York Inc, 2016

    3319373897 / 9783319373898

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    Paperback. Condizione: Brand New. reprint edition. 149 pages. 9.25x6.10x0.33 inches. In Stock.

  • Lingua: Inglese

    Editore: Springer, 2016

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    Taschenbuch. Condizione: Neu. Building a Columnar Database on RAMCloud | Database Design for the Low-Latency Enabled Data Center | Christian Tinnefeld | Taschenbuch | In-Memory Data Management Research | xix | Englisch | 2016 | Springer | EAN 9783319373898 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

  • Lingua: Inglese

    Editore: Springer, 2016

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    Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Lingua: Inglese

    Editore: Springer, 2016

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  • Lingua: Inglese

    Editore: Springer, 2016

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  • Lingua: Inglese

    Editore: Springer International Publishing Okt 2016, 2016

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    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.…

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    Editore: Springer, 2016

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  • Lingua: Inglese

    Editore: Springer, 2016

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    Condizione: New. PRINT ON DEMAND pp. 152.

  • Lingua: Inglese

    Editore: Springer International Publishing, 2016

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    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.…

  • Lingua: Inglese

    Editore: Springer, Springer Okt 2016, 2016

    3319373897 / 9783319373898

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 152 pp. Englisch.…