Towards Automated Data-Driven Model Creation for Cloud Computing Simulation
Journal Title: EAI Endorsed Transactions on Cloud Systems - Year 2016, Vol 2, Issue 5
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.
Authors and Affiliations
Sergej Svorobej, James Byrne, Paul Liston, PJ Byrne, Christian Stier, Henning Groenda, Zafeirios Papazachos, Dimitrios Nikolopoulos
Keywords
Related Articles
- EP ID EP45569
- DOI http://dx.doi.org/10.4108/eai.24-8-2015.2261129
- Views 275
- Downloads 0
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