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RESEARCH ON TENSOR MODEL OF MULTIPATH ROUTING IN TELECOMMUNICATION NETWORK WITH SUPPORT OF SERVICE QUALITY BY GREATE NUMBER OF INDICES

机译:基于指数的服务质量支持的电信网络多径路由的张量模型研究

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摘要

A tensor data-flow model of multipath routing with guarantee of quality by several indices is presented. The novelty of the model consists in transfer to the updated version of the flow storage conditions taking into account packets possible losses caused by overflow of the buffer queue on the network routers. Due to the tensor formalization of the network model it was possible to receive in the analytical form the conditions of imparting quality to simultaneous service by multiple various indices, namely, the transmission rate, mean delay and packages loss probability. The results of the research have shown the advantages of the offered method; they have made themselves evident in the improvements in the end-to end multipath delay, increase in the transmission rate, packets jitter minimization resulted from realization of the routing multipath strategy, increase in the probability of meeting the QoS-requirements and decrease in service abandonments caused by nonfulfillment of the specified quality level.
机译:提出了具有多个指标保证质量的多路径路由的张量数据流模型。该模型的新颖之处在于,考虑到数据包,由于网络路由器上的缓冲区队列溢出而可能造成的损失,从而将流存储条件转换为更新版本。由于网络模型的张量形式化,有可能以分析形式接收通过多个不同指标(即传输速率,平均延迟和包裹丢失概率)为同时服务提供质量的条件。研究结果表明了该方法的优点。它们在端到端多径延迟的改善,传输速率的增加,路由多径策略的实现所致的数据包抖动最小化,满足QoS要求的可能性增加以及服务放弃的减少等方面变得显而易见由于未达到指定的质量水平而引起的。

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