Multi Tenancy for Cloud-Based In-Memory Column Databases - Workload Management and Data Placement (Hardcover, 2014 ed.)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	In-Memory Data Management Research
Release date:	July 2013
First published:	2014
Authors:	Jan Schaffner
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Hardcover
Pages:	128
Edition:	2014 ed.
ISBN-13:	978-3-319-00496-9
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Computer communications & networking > General Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Computing & IT > Applications of computing > Databases > General Promotions
LSN:	3-319-00496-4
Barcode:	9783319004969

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