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Capacity allocation for networks having path length routing constraints

机译:具有路径长度路由约束的网络的容量分配

摘要

Capacity design of an optical network for demands of connections forms a linear programming sizing problem for a optimal routing. A dual of the linear programming sizing problem is formed and solved with an approximation algorithm. Edge lengths are initialized based on i) the inverse of the edge's capacity and ii) a scalar constant. Then, the approximation algorithm proceeds in phases to route each commodity over the edges of a graph. During each phase, the demand's flow is sent from the source to destination via multiple iterations. During each iteration, the shortest length-bounded path from the source to the destination is determined, a portion of the flow is sent, and the lengths of the edges that carry the flow are updated. The value employed to scale the network is generated after the last phase from the maximum ratio of edge flow to edge capacity.
机译:用于连接需求的光网络的容量设计形成了用于最佳路由的线性规划规模问题。形成了线性规划尺寸问题的对偶,并使用一种近似算法进行求解。边缘长度的初始化基于i)边缘容量的倒数和ii)标量常数。然后,近似算法分阶段进行,以将每种商品路由到图形的边缘。在每个阶段,需求流都通过多次迭代从源发送到目的地。在每次迭代期间,确定从源到目的地的最短长度限制路径,发送一部分流,并更新携带该流的边的长度。用于缩放网络的值是在最后阶段从边沿流量与边沿容量的最大比率生成之后生成的。

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