Multi Tenancy for Cloud-Based in-Memory Column Databases
Schaffner, Jan
ISBN 10: 3319033441 ISBN 13: 9783319033440
Editorial: Springer International Publishing AG, 2015
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Descripción:
Examining Software-as-a-Service (SaaS) from the perspective of the provider, this book shows how operational costs can be reduced by using "multi tenancy," a technique for consolidating a large number of customers onto a small number of servers. Series: In-Memory Data Management Research. Num Pages: 141 pages, 16 black & white tables, biography. BIC Classification: KJQ; PBU; UMB; UN; UY. Category: (G) General (US: Trade). Dimension: 235 x 155 x 8. Weight in Grams: 232. . 2015. Softcover reprint of the original 1st ed. 2014. Paperback. . . . . Books ship from the US and Ireland. N° de ref. del artículo V9783319033440
Sinopsis:
With the proliferation of Software-as-a-Service (SaaS) offerings, it is becoming increasingly important for individual SaaS providers to operate their services at a low cost. This book investigates SaaS from the perspective of the provider and shows how operational costs can be reduced by using “multi tenancy,” a technique for consolidating a large number of customers onto a small number of servers.
Specifically, the book addresses multi tenancy on the database level, focusing on in-memory column databases, which are the backbone of many important new enterprise applications. For efficiently implementing multi tenancy in a farm of databases, two fundamental challenges must be addressed, (i) workload modeling and (ii) data placement. The first involves estimating the (shared) resource consumption for multi tenancy on a single in-memory database server. The second consists in assigning tenants to servers in a way that minimizes the number of required servers (and thus costs) based on the assumed workload model. This step also entails replicating tenants for performance and high availability. This book presents novel solutions to both problems.
Acerca del autor: Jan Schaffner received his B.Sc. and M.Sc. degrees from the Hasso Plattner Institute at the University in Potsdam, Germany, where he also pursued his doctoral studies. His main research interests are In-Memory Databases and Databases-as-a-Service. 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, Jan has been collaborating with the University of California, Berkeley for three years.
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Título: Multi Tenancy for Cloud-Based in-Memory ...
Editorial: Springer International Publishing AG
Año de publicación: 2015
Encuadernación: Encuadernación de tapa blanda
Condición: New
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Multi Tenancy for Cloud-Based In-Memory Column Databases
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ISBN 10: 3319033441
ISBN 13: 9783319033440
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A background chapter on column databases and multi tenancy summarizes the key concepts of these technologies in a compact manner A dedicated chapter on related work provides a detailed survey of the state of the art in workload management, data pl. Nº de ref. del artículo: 448742164
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Multi Tenancy for Cloud-Based In-Memory Column Databases: Workload Management and Data Placement (In-Memory Data Management Research)
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Multi Tenancy for Cloud-Based In-Memory Column Databases : Workload Management and Data Placement
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ISBN 10: 3319033441
ISBN 13: 9783319033440
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - With the proliferation of Software-as-a-Service (SaaS) offerings, it is becoming increasingly important for individual SaaS providers to operate their services at a low cost. This book investigates SaaS from the perspective of the provider and shows how operational costs can be reduced by using 'multi tenancy,' a technique for consolidating a large number of customers onto a small number of servers. Specifically, the book addresses multi tenancy on the database level, focusing on in-memory column databases, which are the backbone of many important new enterprise applications. For efficiently implementing multi tenancy in a farm of databases, two fundamental challenges must be addressed, (i) workload modeling and (ii) data placement. The first involves estimating the (shared) resource consumption for multi tenancy on a single in-memory database server. The second consists in assigning tenants to servers in a way that minimizes the number of required servers (and thus costs) based on the assumed workload model. This step also entails replicating tenants for performance and high availability. This book presents novel solutions to both problems. Nº de ref. del artículo: 9783319033440
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Multi Tenancy for Cloud-Based In-Memory Column Databases
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Springer Nature Switzerland, Springer International Publishing Aug 2015, 2015
ISBN 10: 3319033441
ISBN 13: 9783319033440
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -With the proliferation of Software-as-a-Service (SaaS) offerings, it is becoming increasingly important for individual SaaS providers to operate their services at a low cost. This book investigates SaaS from the perspective of the provider and shows how operational costs can be reduced by using ¿multi tenancy,¿ a technique for consolidating a large number of customers onto a small number of servers.Specifically, the book addresses multi tenancy on the database level, focusing on in-memory column databases, which are the backbone of many important new enterprise applications. For efficiently implementing multi tenancy in a farm of databases, two fundamental challenges must be addressed, (i)workload modeling and (ii)data placement. The first involves estimating the (shared) resource consumption for multi tenancy on a single in-memory database server. The second consists in assigning tenants to servers in a way that minimizes the number of required servers (and thus costs) based on the assumed workload model. This step also entails replicating tenants for performance and high availability. This book presents novel solutions to both problems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 144 pp. Englisch. Nº de ref. del artículo: 9783319033440
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Multi Tenancy for Cloud-Based In-Memory Column Databases
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Springer International Publishing Aug 2015, 2015
ISBN 10: 3319033441
ISBN 13: 9783319033440
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -With the proliferation of Software-as-a-Service (SaaS) offerings, it is becoming increasingly important for individual SaaS providers to operate their services at a low cost. This book investigates SaaS from the perspective of the provider and shows how operational costs can be reduced by using 'multi tenancy,' a technique for consolidating a large number of customers onto a small number of servers. Specifically, the book addresses multi tenancy on the database level, focusing on in-memory column databases, which are the backbone of many important new enterprise applications. For efficiently implementing multi tenancy in a farm of databases, two fundamental challenges must be addressed, (i) workload modeling and (ii) data placement. The first involves estimating the (shared) resource consumption for multi tenancy on a single in-memory database server. The second consists in assigning tenants to servers in a way that minimizes the number of required servers (and thus costs) based on the assumed workload model. This step also entails replicating tenants for performance and high availability. This book presents novel solutions to both problems. 144 pp. Englisch. Nº de ref. del artículo: 9783319033440
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ISBN 10: 3319033441
ISBN 13: 9783319033440
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Paperback. Condición: New. With the proliferation of Software-as-a-Service (SaaS) offerings, it is becoming increasingly important for individual SaaS providers to operate their services at a low cost. This book investigates SaaS from the perspective of the provider and shows how operational costs can be reduced by using "multi tenancy," a technique for consolidating a large number of customers onto a small number of servers. Specifically, the book addresses multi tenancy on the database level, focusing on in-memory column databases, which are the backbone of many important new enterprise applications. For efficiently implementing multi tenancy in a farm of databases, two fundamental challenges must be addressed, (i) workload modeling and (ii) data placement. The first involves estimating the (shared) resource consumption for multi tenancy on a single in-memory database server. The second consists in assigning tenants to servers in a way that minimizes the number of required servers (and thus costs) based on the assumed workload model. This step also entails replicating tenants for performance and high availability. This book presents novel solutions to both problems. Softcover reprint of the original 1st ed. 2014. Nº de ref. del artículo: LU-9783319033440
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Multi Tenancy for Cloud-Based In-Memory Column Databases
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Springer International Publishing AG, CH, 2015
ISBN 10: 3319033441
ISBN 13: 9783319033440
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Paperback. Condición: New. With the proliferation of Software-as-a-Service (SaaS) offerings, it is becoming increasingly important for individual SaaS providers to operate their services at a low cost. This book investigates SaaS from the perspective of the provider and shows how operational costs can be reduced by using "multi tenancy," a technique for consolidating a large number of customers onto a small number of servers. Specifically, the book addresses multi tenancy on the database level, focusing on in-memory column databases, which are the backbone of many important new enterprise applications. For efficiently implementing multi tenancy in a farm of databases, two fundamental challenges must be addressed, (i) workload modeling and (ii) data placement. The first involves estimating the (shared) resource consumption for multi tenancy on a single in-memory database server. The second consists in assigning tenants to servers in a way that minimizes the number of required servers (and thus costs) based on the assumed workload model. This step also entails replicating tenants for performance and high availability. This book presents novel solutions to both problems. Softcover reprint of the original 1st ed. 2014. Nº de ref. del artículo: LU-9783319033440
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