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Design of WDM networks under economy of scale pricing and shortest path routing

机译:规模经济和最短路径路由下的WDM网络设计

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Given a combination of unprotected and dedicated edge-disjoint path (1+1) protected connection requests and a finite set of fiber types, we consider the problem of allocating fibers on the links of a WDM network at minimum cost, such that all connection requests can be simultaneously realized. Each fiber type, is characterized by its capacity and its cost per unit length, where costs reflect an economy of scale. It is known that a solution induced by "simply" routing each unprotected (respectively 1+1 protected) connection along the shortest path (respectively shortest pair of edge-disjoint paths) minimizes the total wavelength mileage, but may not minimize the total fiber cost. In this paper, we quantify the increase in fiber cost due to shortest path routing. In particular, we prove that the total cost of a shortest path based solution is guaranteed to lie within a certain factor of the minimum possible cost. This leads also to the fact that shortest path routing is asymptotically cost-optimal for a large total number of connection requests. Furthermore, for sparse topologies, e.g., the ring, the ShuffleNet and the mesh(-torus), we show that shortest path routing is asymptotically cost-optimal in large-scale networks supporting all-to-all communication. En route, we prove that by shortest path routing we obtain a provably optimal solution to the linear programming (LP-) relaxation of the problem. We have thus presented a provably good upper bound and a lower bound on the total fiber cost, that can be computed in polynomial-time. These bounds can be used as benchmarks against which heuristic approaches are compared.
机译:给定不受保护的专用边缘不相交路径(1 + 1)保护的连接请求和有限类型的光纤类型的组合,我们考虑以最小的成本在WDM网络的链路上分配光纤的问题,这样所有连接请求可以同时实现。每种纤维的特点是其容量和单位长度的成本,其中成本反映了规模经济。众所周知,通过沿最短路径(分别是最短的一对不相交的边沿路径)“简单地”路由每个未受保护(分别为1 + 1受保护)的连接而引入的解决方案可以使总的波长里程最小化,但可能不会使总的光纤成本最小化。在本文中,我们将量化由于最短路径路由而增加的光纤成本。特别是,我们证明了基于最短路径的解决方案的总成本可保证在最小可能成本的某个因素之内。这还导致以下事实:对于大量的连接请求,最短路径路由渐近地成本最优。此外,对于稀疏的拓扑结构(例如环形,ShuffleNet和Mesh(-torus)),我们表明在支持所有通信的大规模网络中,最短路径路由是渐近成本最优的。在途中,我们证明了通过最短路径选路,我们获得了线性规划(LP-)松弛问题的可证明的最佳解决方案。因此,我们提出了可证明的良好的总成本上限和下限,可以在多项式时间内进行计算。这些界限可以用作比较启发式方法的基准。

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