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PUBLICATIONS

An Efficient Sensitivity Analysis Method for Large Cloud Simulations

Published

Author(s)

Kevin L. Mills

Abstract

We describe Koala, an infrastructure Cloud simulator inspired by the Amazon Elastic Compute Cloud (EC2). We conduct a sensitivity analysis of Koala, revealing eight behavioral dimensions, which are influenced significantly by six parameters. Our findings, which set the stage for subsequent experiments, show that proposed resource allocation algorithms for on-demand infrastructure Clouds can be evaluated by simulating 64 parameter configurations, which can be reduced further by using orthogonal fractional factorial experiment designs. We expect that our results could establish baseline configurations against which proposed resource allocation algorithms can be evaluated.
Proceedings Title
IEEE Cloud 2011, The 4th International Conference on Cloud Computing
Conference Dates
July 4-9, 2011
Conference Location
Washington, DC
Pub Type
Conferences

Keywords

cloud computing, modeling, resource allocation, sensitivity analysis, simulation
Information technology, Complex systems, Networking and Modeling and simulation research

Citation

Mills, K. (2011), An Efficient Sensitivity Analysis Method for Large Cloud Simulations, IEEE Cloud 2011, The 4th International Conference on Cloud Computing, Washington, DC (Accessed October 18, 2025)

Issues

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Created July 4, 2011, Updated March 2, 2018
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