The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Data preparation for data mining
Data preparation for data mining
The MicroGrid: a scientific tool for modeling computational gridsr
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
GridG: generating realistic computational grids
ACM SIGMETRICS Performance Evaluation Review
| Hi-index | 0.00 |
To build a large-scale computational grid resource model with realistic characteristics, this paper proposes a statistical remedy to approximate the distributions of computational and communicational abilities of resources. After fetching the source data of resources including computing devices and networks from the real world, the gamma and normal distributions are employed to approximate probabilities for the ability distribution of grid resources. With this method, researchers can supply the computational grid simulators with required parameters relating to computational and communicational abilities. The experiment result shows that proposed methodology can lead to a better precision according to the error measurement of the simulated data and its source. The proposed method can support existing modern grid simulators with a high-precision resource model which can consider the characteristics of distribution for its computational and communicational abilities in the grid computing environment.