Towards Automated Data-Driven Model Creation for Cloud Computing Simulation

Sergej Svorobej, James Byrne, Paul Liston, P. J. Byrne, Christian Stier, Henning Groenda, Zafeirios Papazachos, Dimitrios S. Nikolopoulos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)
205 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Simulation Tools and Techniques
PublisherACM
Pages248-255
Number of pages8
ISBN (Print) 978-1-63190-079-2
Publication statusPublished - 2015
EventEighth EAI International Conference on Simulation Tools and Techniques - Athens, Greece
Duration: 24 Aug 201526 Aug 2015

Conference

ConferenceEighth EAI International Conference on Simulation Tools and Techniques
CountryGreece
CityAthens
Period24/08/201526/08/2015

Cite this

Svorobej, S., Byrne, J., Liston, P., Byrne, P. J., Stier, C., Groenda, H., Papazachos, Z., & Nikolopoulos, D. S. (2015). Towards Automated Data-Driven Model Creation for Cloud Computing Simulation. In Proceedings of the 8th International Conference on Simulation Tools and Techniques (pp. 248-255). ACM. http://dl.acm.org/citation.cfm?id=2832214