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北京交通大学计算机与信息技术学院,北京,100044
Published:2010
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Research on Dynamic Storage Hierarchy of Data Grid Virtual Machine[J]. Acta Electronica Sinica, 2010, 38(11): 2680-2685.
数据网格作为数据密集型计算环境
不仅需要高性能的计算资源
也需要拥有能够及时、高速访问的数据资源.数据网格中存储访问的性能是影响数据网格平台性能的关键因素.本文从网格虚拟机视角研究提高数据网格的存储访问性能
提出了针对数据网格环境的动态存储体系思想
动态K聚类实现网格局部性汇聚
构建数据网格动态存储体系.通过对动态存储体系性能的分析以及测试表明
具有动态存储体系的数据网格平台的任务处理性能得到了明显的改善.
As a data-intensive computing environment
data grids require not only high performance computing resources
but also timely high speed access to the data resources
which are needed at the computational resources.The performance of the storage accesses is key to the performance of data grids platforms.The paper presents the idea of dynamic storage hierarchy appropriate for the data grid environment
and puts forward an approach of its construction by grid locality aggregation.The paper also explores the dynamic K-clustering feature of the approach
tests and analyzes the performance of the dynamic storage hierarchy.Experiment results show the explicit improvement of the overall grid tasks handle based on the dynamic storage hierarchy.
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