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Quantifying the Elasticity of a Database Management System

Authors:
Christian Tinnefeld
Daniel Taschik
Hasso Plattner

Keywords: Elasticity, Database Management System, NoSQL

Abstract:
There exist different and well-established ap- proaches for quantifying the performance of a database management system. With the advent of provisioning in- formation technology infrastructure over the Internet, the aspect of elasticity became more important as it defines how well a system adapts to a changing workload. For a database management system there is no commonly agreed approach or model how to quantify its elasticity. In contrast, the cloud storage system (NoSQL) community developed several approaches how to measure elasticity. In this paper we contribute by I) presenting an extensive review of the existing approaches for measuring the elasticity of NoSQL systems, II) compare their parameters and used metrics, III) transfer the lessons learned and introduce a model for quantifying the elasticity of a database management system.

Pages: 125 to 131

Copyright: Copyright (c) IARIA, 2014

Publication date: April 20, 2014

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-334-6

Location: Chamonix, France

Dates: from April 20, 2014 to April 24, 2014