Multi Tenancy for Cloud-Based In-Memory Column Databases: Workload Management and Data Placement Jan Schaffner

ISBN: 9781299858145

Published: September 18th 2013

ebook

140 pages


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Multi Tenancy for Cloud-Based In-Memory Column Databases: Workload Management and Data Placement  by  Jan Schaffner

Multi Tenancy for Cloud-Based In-Memory Column Databases: Workload Management and Data Placement by Jan Schaffner
September 18th 2013 | ebook | PDF, EPUB, FB2, DjVu, AUDIO, mp3, ZIP | 140 pages | ISBN: 9781299858145 | 4.41 Mb

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 showsMoreWith 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.



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