| 基于ARSVR方法的网格计算资源负载预测(英文) |
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| 引用本文： | 黄刚,王汝传,解永娟,石小娟.基于ARSVR方法的网格计算资源负载预测(英文)[J].东南大学学报,2009,25(4):451-455. |
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| 作者姓名： | 黄刚 王汝传 解永娟 石小娟 |
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| 作者单位： | 南京邮电大学计算机学院,南京,210003 |
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| 基金项目： | The National High Technology Research and Development Program of China (863 Program) (No2007AA01Z404) |
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| 摘 要： | 在MDS4监控模型的基础上, 设计了基于可靠存储与容侵数据网格的监控模型, 分析了监控模型中计算资源的负载特性、指标. 然后, 设计了基于SVR的时间序列自回归预测模型, 提出了用于数据网格负载预测的监控ARSVR方法. 最后, 利用AR模型对历史观测序列进行建模, 确定模型的阶次. 根据历史数据对SVR进行训练, 得到回归函数. 仿真实验结果表明, ARSVR方法能对节点的负载进行有效预测.
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| 关 键 词： | 网格 自回归支持向量回归机算法 计算资源 负载预测 |
Load prediction of grid computing resources based on ARSVR method |
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| Huang Gang Wang Ruchuan Xie Yongjuan Shi Xiaojuan.Load prediction of grid computing resources based on ARSVR method[J].Journal of Southeast University(English Edition),2009,25(4):451-455. |
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| Authors: | Huang Gang Wang Ruchuan Xie Yongjuan Shi Xiaojuan |
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| Institution: | Huang Gang Wang Ruchuan Xie Yongjuan Shi Xiaojuan(College of Computer,Nanjing University of Posts , Telecommunications,Nanjing 210003,China) |
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| Abstract: | Based on the monitoring and discovery service 4(MDS4)model,a monitoring model for a data grid which supports reliable storage and intrusion tolerance is designed. The load characteristics and indicators of computing resources in the monitoring model are analyzed. Then,a time-series autoregre-ssive prediction model is devised. And an autoregressive support vector regression(ARSVR)monitoring method is put forward to predict the node load of the data grid.Finally,a model for histo-rical observations sequences ... |
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| Keywords: | grid autoregressive support vector regression algorithm computing resource load prediction |
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