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A Linear Programming Model for Determining Distribution of User Sessions in a Voice Over Internet Protocol Network

机译:用于在互联网协议网络中确定用户会话分发的线性编程模型

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Telecommunications service providers build highly available networks using equipment redundancy and overload protection mechanisms. However, because of network equipment misconfiguration or a natural disaster, the network equipment failover could be unsuccessful. This article proposes a linear programming model for determining the optimal distribution of user sessions in a commercial network such that the impact of an unsuccessful network equipment failover is minimal. The model has been applied successfully during the design of a commercial network that supports approximately 5 million customers. The proposed model will be useful for managing the telecommunication networks in a way that is more robust to catastrophic failure, providing greater security and better service to users. The article also presents quantitative results that show a modest increase in end-to-end one-way speech transmission delay ranging from 3.5 to 8.1 ms. This delay is also known as mouth-to-ear delay. The article proposes improvements to the linear programming model by putting an upper limit on the potential increase in the mouth-to-ear delay.
机译:电信服务提供商使用设备冗余和过载保护机制构建高度可用的网络。但是,由于网络设备的错误配置或自然灾害,网络设备故障转移可能是不成功的。本文提出了一种线性编程模型,用于确定商业网络中用户会话的最佳分布,使得不成功的网络设备故障转移的影响是最小的。该模型已成功应用于设计大约500万客户的商业网络。所提出的模型对于以更强大的灾难性故障管理电信网络是有用的,为用户提供更大的安全性和更好的服务。本文还提出了定量结果,该结果显示了从3.5到8.1毫秒的端到端单向语音传输延迟的适度增加。这种延迟也称为口对耳延迟。该文章提出通过对口对耳延迟的潜在增加的上限进行上限来改进线性规划模型。

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