Research Article
Defining an Elasticity Metric for Cloud Computing Environments
@ARTICLE{10.4108/eai.14-12-2015.2262685, author={Marta Beltran}, title={Defining an Elasticity Metric for Cloud Computing Environments}, journal={EAI Endorsed Transactions on Cloud Systems}, volume={2}, number={5}, publisher={ACM}, journal_a={CS}, year={2016}, month={1}, keywords={cloud computing, elasticity, performance evaluation}, doi={10.4108/eai.14-12-2015.2262685} }
- Marta Beltran
Year: 2016
Defining an Elasticity Metric for Cloud Computing Environments
CS
EAI
DOI: 10.4108/eai.14-12-2015.2262685
Abstract
Elasticity is a key property of cloud computing environments and one of the features which distinguishes this paradigm from other ones. An elasticity metric could be used to define and to monitor Service Level Agreements (SLAs), to compare and to benchmark different cloud providers or to improve provisioning and management decisions in real time if it could be measured with some simple procedure, to mention only some examples. Unfortunately, there are not still standard elasticity metrics capable of easily capturing its main components or aspects, these are, scalability, accuracy, time and cost. This work defines a new elasticity metric for cloud computing environments which not only captures these four essential components but also provides a simple procedure to analyse elasticity in cloud contexts. The obtained experimental results on a real cloud environment evidence that this new elasticity metric is able to quantify the degree of elasticity obtained in different cloud scenarios and to establish interesting comparisons and analysis.
Copyright © 2015 M. Beltran, licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.