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Prediction of cost and performance of cloud applications created by Massimiliano Rak, Antonio Cuomo, Umberto Villano and Giuseppe Aversano

By: Contributor(s): Material type: TextTextSeries: International journal of cloud computing ; Volume 4 , number 1 ,United Kingdom: Inderscience, 2015Content type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISSN:
  • 2043-9989
Subject(s): LOC classification:
  • QA76.S85 INT
Online resources: Abstract: The pay-per-use business model is one of the key factors for the success of the cloud computing paradigm: resources are acquired only when needed and charged on the basis of their actual usage. The execution of applications in the cloud implies costs that depend on the usage of the leased resources and on the resource pricing model adopted by the providers. This paper presents a technique to evaluate the tradeoff between costs and performance of cloud applications through the use of benchmarks and simulation. Given a mOSAIC cloud application, it is possible to predict performance indexes and resource consumption under generic workloads. This makes it possible to choose the deployment on the resources of the provider that guarantees the desired performance levels and minimises the costs for executing the application.
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The pay-per-use business model is one of the key factors for the success of the cloud computing paradigm: resources are acquired only when needed and charged on the basis of their actual usage. The execution of applications in the cloud implies costs that depend on the usage of the leased resources and on the resource pricing model adopted by the providers. This paper presents a technique to evaluate the tradeoff between costs and performance of cloud applications through the use of benchmarks and simulation. Given a mOSAIC cloud application, it is possible to predict performance indexes and resource consumption under generic workloads. This makes it possible to choose the deployment on the resources of the provider that guarantees the desired performance levels and minimises the costs for executing the application.

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