A novel approach for hybrid performance modelling and prediction of large-scale computing systems

Authors:
Sabri Pllana;Siegfried Benkner;Fatos Xhafa;Leonard Barolli
Affiliations:
Department of Scientific Computing, University of Vienna, Nordbergstrasse 15&#/#/47/C&#/#/47/3, 1090 Vienna, Austria.;Department of Scientific Computing, University of Vienna, Nordbergstrasse 15&#/#/47/C&#/#/47/3, 1090 Vienna, Austria.;Department of Languages and Informatics Systems, Polytechnic University of Catalonia, C&#/#/47/Jordi Girona 1-/3, 08034 Barcelona, Spain.;Department of Information and Communication Engineering, Fukuoka Institute of Technology, 3-/30-/1 Wajiro-/Higashi, Higashi-/ku, Fukuoka 811 0295, Japan
Venue:
International Journal of Grid and Utility Computing
Year:
2009

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Abstract

We present a novel approach for hybrid performance modelling and prediction of large-scale parallel and distributed computing systems, which combines Mathematical Modelling (MathMod) and Discrete-Event Simulation (DES). We use MathMod to develop parameterised performance models for components of the system. Thereafter, we use DES to describe the structure of system and the interaction among its components. As a result we obtain a high-level performance model, which combines the evaluation speed of mathematical models with the structure awareness and fidelity of the simulation model. We evaluate empirically our approach with a real-world material science program that comprises more than 15,000 lines of code.