cs 16(5): e1

Research Article

Towards Automated Data-Driven Model Creation for Cloud Computing Simulation

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  • @ARTICLE{10.4108/eai.24-8-2015.2261129,
        author={Sergej Svorobej and James Byrne and Paul Liston and PJ Byrne and Christian Stier and Henning Groenda and Zafeirios Papazachos and Dimitrios Nikolopoulos},
        title={Towards Automated Data-Driven Model Creation for Cloud Computing Simulation},
        journal={EAI Endorsed Transactions on Cloud Systems},
        keywords={modelling, cloud computing, simulation integration, data collection},
  • Sergej Svorobej
    James Byrne
    Paul Liston
    PJ Byrne
    Christian Stier
    Henning Groenda
    Zafeirios Papazachos
    Dimitrios Nikolopoulos
    Year: 2015
    Towards Automated Data-Driven Model Creation for Cloud Computing Simulation
    DOI: 10.4108/eai.24-8-2015.2261129
Sergej Svorobej1, James Byrne1,*, Paul Liston1, PJ Byrne1, Christian Stier2, Henning Groenda2, Zafeirios Papazachos3, Dimitrios Nikolopoulos3
  • 1: Dublin City University
  • 2: FZI Research Centre for Information Technology Forschungszentrum Informatik (FZI)
  • 3: Queen’s University of Belfast
*Contact email: james.byrne@dcu.ie


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.