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2013 IEEE Sixth International Conference on Cloud Computing (2013)
Santa Clara, CA USA
June 28, 2013 to July 3, 2013
pp: 414-421
Mohan Baruwal Chhetri , Fac. of Inf. & Commun. Technol., Swinburne Univ. of Technol., Melbourne, VIC, Australia
Sergei Chichin , Fac. of Inf. & Commun. Technol., Swinburne Univ. of Technol., Melbourne, VIC, Australia
Quoc Bao Vo , Fac. of Inf. & Commun. Technol., Swinburne Univ. of Technol., Melbourne, VIC, Australia
Ryszard Kowalczyk , Fac. of Inf. & Commun. Technol., Swinburne Univ. of Technol., Melbourne, VIC, Australia
ABSTRACT
As the rate of cloud computing adoption grows, so does the need for consumption assistance. Enterprises that are looking to migrate their IT systems to the cloud, would like to quickly identify providers that offer resources with the most appropriate pricing and performance levels to match their specific business needs. However, no two vendors offer the same resource configurations, pricing and provisioning models, making the task of selecting appropriate computing resources complex, time-consuming and expensive. In this paper, we present Smart CloudBench - a platform that automates the performance benchmarking of cloud infrastructure, helping potential consumers quickly identify the cloud providers that can deliver the most appropriate price/performance levels to meet their specific requirements. Users can estimate the actual performance of the different cloud platforms by testing representative benchmark applications under representative load conditions. Experimentation using the prototype implementation shows that higher price does not necessarily translate to better or more consistent performance, and benchmarking results can provide more information to help enterprises make better informed decisions.
INDEX TERMS
Benchmark testing, Cloud computing, Servers, Pricing, Computational modeling
CITATION

M. B. Chhetri, S. Chichin, Quoc Bao Vo and R. Kowalczyk, "Smart CloudBench -- Automated Performance Benchmarking of the Cloud," 2013 IEEE 6th International Conference on Cloud Computing (CLOUD), Santa Clara, CA, USA, 2013, pp. 414-421.
doi:10.1109/CLOUD.2013.7
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