Name
Abstract | ||
|---|---|---|
The combination of parallel/distributed discrete event simulation (PDES) and Grid technology is a new trend in simulation. QoS is important yet difficult in this process. With the special features of Gird architecture and PDES input, such as periodical and predictable inputs, we could enhance QoS with a PDES-specific prediction. A Grid-based framework is presented that is designed to help predict the performance of PDES. Based on this framework, a prediction algorithm using time series theory is presented in the context of large scale Grid simulations. Experiments are executed in the context of GridSim, which shows methods discussed before to help to improve QoS level. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/GCC.2007.99 | GCC |
Keywords | Field | DocType |
parallel processing,large scale,discrete event simulation,grid simulation,grid computing,quality of service,grid-based framework,pdes grid technology,parallel-distributed discrete event simulation,pdes-specific prediction,qos level,pdes grid,time series prediction algorithm,qos enhancement,gird architecture,prediction algorithm,grid technology,time series prediction,time series,pdes input,simulation experiment | Time series,Architecture,Grid computing,Computer science,Parallel processing,Quality of service,Grid,Discrete event simulation,Distributed computing | Conference |
ISBN | Citations | PageRank |
0-7695-2871-6 | 6 | 0.70 |
References | Authors | |
8 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Suihui Zhu | 1 | 26 | 3.97 |
| PengLiuZhihui Du | 2 | 383 | 48.74 |
| Yinong Chen | 3 | 1361 | 127.89 |
| Xudong Chai | 4 | 126 | 19.46 |
| Bohu Li | 5 | 7 | 1.74 |