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Cloud-Based Concurrent Simulation at Work: Fast Performance Prediction of Parallel Programs

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3 Author(s)
Massimiliano Rak ; Dipt. di Ing. dell'Inf., Seconda Univ. di Napoli, Aversa, Italy ; Antonio Cuomo ; Umberto Villano

The performance prediction of parallel programs is a time-consuming process due to the need to execute a large number of simulations for different values of parameters linked to the software decomposition and to the target hardware environment. This paper shows how mJADES, a novel environment for running concurrent simulations in the cloud, can provide an effective support to a simulation-based performance prediction framework. The accuracy of predictions and the practical validity of the approach followed are evaluated through experimentation on a simple but realistic case study.

Published in:

Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2012 IEEE 21st International Workshop on

Date of Conference:

25-27 June 2012