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引用次数: 2
摘要
为了提高数据网格的数据传输速度,提出了几种协同分配方案。然而,数据网格通常规模大,参与资源异构,结构和网络拓扑复杂,从而增加了其数据传输行为的分析复杂性。换句话说,如果我们可以减少网格的数据传输拓扑,分析将会更容易。因此,在本文中,我们提出了一种拓扑约简方法,称为树到星约简法(tree -to- star reduction method,简称TSR),它可以将数据网格中的数据包传递树拓扑约简为星形,从而更方便地分析协同分配方案的数据传输。在这里,交付树拓扑作为扎根于目标节点的树拓扑,是一种用于将文件的所有片段交付到目标节点的网络拓扑。
TSR: Topology Reduction from Tree to Star Data Grids
To speed up data transmission of data grids, several co-allocation schemes have been proposed. However, data grids are often large in scale, heterogeneous in participating resources, and complicated in architecture and network topology, consequently increasing the analytical complexity of its data transmission behaviour. In other words, if we can reduce the data transmission topology for the grid, the analysis will be easier. Therefore, in this paper, we propose a topology reduction approach, called the Tree-to-Star Reduction method (TSR for short), which can reduce a packet delivery tree topology to a star for a data grid so that the data transmission of a co-allocation scheme can be more conveniently analyzed. Here, a delivery tree topology, as a tree topology rooted at the destination node, is a network topology for delivering all fragments of a file to the destination node.