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Theoretical Analysis of Various Software-Defined Multiplexing Codes

机译:各种软件定义的复用码的理论分析

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How to combine multiple data-streams for transmission in aggregate is a very interesting problem, especially for the emerging software-defined networks nowadays. The conventional packet-based protocols cannot provide the flexibility for combining data-streams in the ad hoc nature. If the number of data-streams changes over time, the existing packet formats cannot handle the transmission of multiple data-streams effectively. The effectiveness is measured by two performance metrics, namely coding efficiency and data-transmission intermittency. We propose a new software-defined multiplexing code (SDMC) approach, which can combine (multiplex) multiple data-streams easily and is much more effective than the conventional packet-based method. Three SDMC schemes (distributed, hierarchical, and hybrid) are compared theoretically and by simulation. A trade-off between these two performance metrics can be found when one selects one of the three SDMC schemes for combining multiple data-streams. The hierarchical SDMC scheme brings about the highest coding efficiency while the hybrid SDMC scheme suffers from the smallest overall intermittency.
机译:如何组合多个数据流以进行汇总传输是一个非常有趣的问题,尤其对于当今新兴的软件定义网络而言。传统的基于分组的协议不能提供用于临时组合数据流的灵活性。如果数据流的数量随时间变化,则现有的数据包格式将无法有效地处理多个数据流的传输。有效性通过两个性能指标来衡量,即编码效率和数据传输间歇性。我们提出了一种新的软件定义的多路复用代码(SDMC)方法,该方法可以轻松地组合(多路复用)多个数据流,并且比传统的基于数据包的方法有效得多。从理论上和通过仿真比较了三种SDMC方案(分布式,分层和混合)。当选择三种SDMC方案中的一种来组合多个数据流时,可以在这两个性能指标之间进行权衡。分层SDMC方案带来了最高的编码效率,而混合SDMC方案则遭受了最小的整体间歇性。

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