Multi Tenancy for Cloud-Based In-Memory Column Databases

Workload Management and Data Placement

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Éditeur :

Springer


Collection :

In-Memory Data Management Research

Paru le : 2013-07-03



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Description

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.
Pages
128 pages
Collection
In-Memory Data Management Research
Parution
2013-07-03
Marque
Springer
EAN papier
9783319004969
EAN EPUB
9783319004976

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
12
Taille du fichier
1505 Ko
Prix
52,74 €