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

页码：137 / 142

页数：6

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