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.

中文翻译：

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用于确定 Internet 协议语音网络中用户会话分布的线性规划模型

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，由于网络设备配置错误或自然灾害，网络设备故障转移可能会失败。本文提出了一种线性规划模型，用于确定商业网络中用户会话的最佳分布，从而使不成功的网络设备故障转移的影响最小。该模型已成功应用于支持约 500 万客户的商业网络的设计。所提出的模型将有助于以对灾难性故障更稳健的方式管理电信网络，为用户提供更高的安全性和更好的服务。该文章还提供了定量结果，表明端到端单向语音传输延迟适度增加，范围从 3.5 到 8.1 毫秒。这种延迟也称为口对耳延迟。这篇文章提出了改进线性规划模型的建议，即为可能增加的口对耳延迟设置上限。