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

被引:2
|
作者
Rak, Massimiliano [1 ]
Cuomo, Antonio [2 ]
Villano, Umberto [2 ]
机构
[1] Univ Naples 2, Dipartimento Ingn Informaz, Aversa, Italy
[2] Univ Sannio, Benevento, Italy
来源
2012 IEEE 21ST INTERNATIONAL WORKSHOP ON ENABLING TECHNOLOGIES: INFRASTRUCTURE FOR COLLABORATIVE ENTERPRISES (WETICE) | 2012年
关键词
Cloud Computing; Discrete-event Simulation; Performance Prediction; SYSTEM;
D O I
10.1109/WETICE.2012.74
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:137 / 142
页数:6
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