Elasticity is the ability of a software system to dynamically scale the amount of the resources it provides to clients as their workloads increase or decrease. Elasticity is praised as a key advantage of cloud computing, where computing resources are dynamically added and released. However, there exists no concise or formal definition of elasticity, and thus no approaches to quantify it have been developed so far. Existing work on cloud computing is limited to the technical view of implementing elastic systems, and definitions or scalability have not been extended to cover elasticity. In this report, we present a detailed discussion of elasticity, propose techniques for quantifying and measuring it, and outline next steps to be taken for enabling comparisons between cloud computing offerings on the basis of elasticity. We also present preliminary work on measuring elasticity of resource pools provided by the Java Virtual Machine.
%0 Report
%1 KuHeKiRe2011-ResourceElasticity
%A Kuperberg, Michael
%A Herbst, Nikolas Roman
%A von Kistowski, Jóakim Gunnarsson
%A Reussner, Ralf
%B Karlsruhe Reports in Informatics
%C Am Fasanengarten 5, 76131 Karlsruhe, Germany
%D 2011
%K Cloud Elasticity Metrics_and_benchmarking_methodologies descartes t_techreport
%T Defining and Quantifying Elasticity of Resources in Cloud Computing and Scalable Platforms
%U http://digbib.ubka.uni-karlsruhe.de/volltexte/1000023476
%V 16
%X Elasticity is the ability of a software system to dynamically scale the amount of the resources it provides to clients as their workloads increase or decrease. Elasticity is praised as a key advantage of cloud computing, where computing resources are dynamically added and released. However, there exists no concise or formal definition of elasticity, and thus no approaches to quantify it have been developed so far. Existing work on cloud computing is limited to the technical view of implementing elastic systems, and definitions or scalability have not been extended to cover elasticity. In this report, we present a detailed discussion of elasticity, propose techniques for quantifying and measuring it, and outline next steps to be taken for enabling comparisons between cloud computing offerings on the basis of elasticity. We also present preliminary work on measuring elasticity of resource pools provided by the Java Virtual Machine.
@techreport{KuHeKiRe2011-ResourceElasticity,
abstract = {{Elasticity is the ability of a software system to dynamically scale the amount of the resources it provides to clients as their workloads increase or decrease. Elasticity is praised as a key advantage of cloud computing, where computing resources are dynamically added and released. However, there exists no concise or formal definition of elasticity, and thus no approaches to quantify it have been developed so far. Existing work on cloud computing is limited to the technical view of implementing elastic systems, and definitions or scalability have not been extended to cover elasticity. In this report, we present a detailed discussion of elasticity, propose techniques for quantifying and measuring it, and outline next steps to be taken for enabling comparisons between cloud computing offerings on the basis of elasticity. We also present preliminary work on measuring elasticity of resource pools provided by the Java Virtual Machine.}},
added-at = {2020-04-05T23:16:43.000+0200},
address = {Am Fasanengarten 5, 76131 Karlsruhe, Germany},
author = {Kuperberg, Michael and Herbst, Nikolas Roman and von Kistowski, J{\'o}akim Gunnarsson and Reussner, Ralf},
biburl = {https://www.bibsonomy.org/bibtex/2aa027da204d2b3be4a4a74616956fe13/nikolas.herbst},
institution = {Karlsruhe Institute of Technology (KIT)},
interhash = {6736663e7a07139df20be8d5849590f8},
intrahash = {aa027da204d2b3be4a4a74616956fe13},
keywords = {Cloud Elasticity Metrics_and_benchmarking_methodologies descartes t_techreport},
series = {Karlsruhe Reports in Informatics},
timestamp = {2020-10-21T04:00:32.000+0200},
title = {{Defining and Quantifying Elasticity of Resources in Cloud Computing and Scalable Platforms}},
url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000023476},
volume = 16,
year = 2011
}