We consider the problem of designing a minimum cost access network to carry traffic from a set of endnodes to a core network. A set of trunks of $K$ differing types are available for leasing or buying. Some trunk-types have a high initial overhead cost but a low cost per unit bandwidth. Others have a low overhead cost but a high cost per unit bandwidth.When the central core is given, we show how to construct an access network whose cost is within $O(K^2)$ of optimal, under weak assumptions on the cost structure. In contrast with previous bounds, this bound is independent of the network and the traffic. Typically, the value of $K$ is small. Our approach uses a linear programming relaxation and is motivated by a rounding technique of Shmoys, Tardos and Aardal~\cite{ShmoysTA97}.Our techniques extend to a more complex situation in which the core is not given {\em a priori}. In this case we aim to minimize the switch cost of the core in addition to the trunk cost of the access network. We provide the same performance bound.
Index Terms:
Access network design, economies of scale, LP-relaxation, rounding
Citation:
Matthew Andrews, Lisa Zhang, "The Access Network Design Problem," focs, pp.40, 39th Annual Symposium on Foundations of Computer Science, 1998