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End-to-end delay margin balancing approach for routing in multi-class networks

机译:多类网络中路由的端到端延迟余量平衡方法

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This paper presents Quality of Service (QoS) based routing and priority class assignment algorithms. It introduces an end-to-end delay margin balancing approach to routing, and uses it to formulate a nonlinear optimization problem. In a single-class network, the formulation is shown to be convex; however in a multi-class priority network, it is only convex within specific regions, and is in-feasible otherwise. A centralized off-line computation technique is proposed to calculate both the route configuration and end-to-end priority assignment. A gradient-based solution in the convex region and a heuristic to overcome the multi-class discontinuity are derived. An approximation of the optimization problem is developed for on-line distributed processing is then presented. Using the approximation, arriving traffic flows can use vector routing tables to search for routes. Compared with minimum-hop, minimum-delay, and min-interference routing algorithms, the proposed approach enables the single-class network to accommodate more users of different end-to-end delay requirements. In a multi-class priority network, results show that using the objective function to combine route and priority class assignment further increases the supportable network traffic volume.
机译:本文介绍了基于服务质量(QoS)的路由和优先级分配算法。它引入了端到端的延迟裕量平衡方法来进行路由,并用它来表达非线性优化问题。在单类网络中,该公式显示为凸形。但是,在多类优先级网络中,它仅在特定区域内凸出,否则是不可行的。提出了一种集中式离线计算技术来计算路由配置和端到端优先级分配。得出了凸区域中基于梯度的解决方案和克服多类不连续性的启发式方法。然后提出了一种优化问题的近似方法,用于在线分布式处理。使用近似值,到达的交通流可以使用矢量路由表搜索路线。与最小跳,最小延迟和最小干扰路由算法相比,该方法使单类网络可以容纳更多具有不同端到端延迟要求的用户。结果表明,在多类优先级网络中,使用目标函数结合路由和优先级分配可以进一步增加可支持的网络流量。

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