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An efficient transportation architecture for big data movement

机译:大数据移动的高效运输架构

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Big data are transferred, routed and forward to their destinations as a combination of a series of packets one by one, without considering the data in their entity in today's packet network. In this paper, we firstly summarize those transportation methods of bid data on packet networks and optical networks, respectively, and then propose a new data transportation architecture to collect, store and reshape the data flows in large time scale until it find the connection segments available on schedule. It leverages both circuit and storage merits together to form a now network node, which is termed as SSS in this paper. The intermediate storages act to relay and bridge these sub-connections into an equivalent entirety.
机译:大数据作为一系列数据包的一个接一个地传输,路由并转发到目的地,而无需考虑当今数据包网络中其实体中的数据。在本文中,我们首先总结了分别在分组网络和光网络上投标数据的那些传输方法,然后提出了一种新的数据传输体系结构,以在长时间范围内收集,存储和重整数据流,直到找到可用的连接段为止。按照时间表。它同时利用电路和存储优点,共同形成一个现今的网络节点,在本文中称为SSS。中间存储器用于将这些子连接中继和桥接为等效的整体。

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