Towards Automated Data-Driven Model Creation for Cloud Computing Simulation

Authors

  • Sergej Svorobej Dublin City University image/svg+xml
  • James Byrne Dublin City University image/svg+xml
  • Paul Liston Dublin City University image/svg+xml
  • PJ Byrne Dublin City University image/svg+xml
  • Christian Stier FZI Research Centre for Information Technology Forschungszentrum Informatik
  • Henning Groenda FZI Research Centre for Information Technology Forschungszentrum Informatik
  • Zafeirios Papazachos Queen's University Belfast image/svg+xml
  • Dimitrios Nikolopoulos Queen’s University of Belfast

DOI:

https://doi.org/10.4108/eai.24-8-2015.2261129

Keywords:

modelling, cloud computing, simulation integration, data collection

Abstract

The increasing complexity and scale of cloud computing environments due to widespread data centre heterogeneity makes measurement-based evaluations highly difficult to achieve. Therefore the use of simulation tools to support decision making in cloud computing environments to cope with this problem is an increasing trend. However the data required in order to model cloud computing environments with an appropriate degree of accuracy is typically large, very difficult to collect without some form of automation, often not available in a suitable format and a time consuming process if done manually. In this research, an automated method for cloud computing topology definition, data collection and model creation activities is presented, within the context of a suite of tools that have been developed and integrated to support these activities.

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Published

27-08-2015

How to Cite

[1]
S. Svorobej, “Towards Automated Data-Driven Model Creation for Cloud Computing Simulation”, EAI Endorsed Trans Cloud Sys, vol. 2, no. 5, p. e1, Aug. 2015.