基于Hadoop的海量网格数据建模

Massive Grid-Data Modeling Using Hadoop

针对网格实验的实际需要和现有网格仿真工具存在的不足,提出了一种结合Hadoop技术进行海量网格数据建模的方法。利用提出的建模方法,研究人员可以从海量数据中挖掘出实验所需核心数据,并建立这些数据所满足的数学模型。在网格仿真实验中使用这些数学模型生成网格负载,将会提高网格仿真实验的准确性和可信度。

Due to the needs of grid experiments and the shortcomings existed in the grid simulation tools,this paper presents an approach for massive grid data modeling using Hadoop technology.By using the modeling method in this paper,researchers can dig out the core data,which is required in the grid experiment,from the mass of data and then establish the mathematical model that the data needs.By using the experimental data generated by this model,the accuracy and credibility of grid simulation experiments will increase.