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Hardness of Routing for Minimizing Superlinear Polynomial Cost in Directed Graphs

机译:用于最小化定向图中超线性多项式成本的路由的硬度

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We study the problem of routing in directed graphs with superlinear polynomial costs, which is significant for improving the energy efficiency of networks. In this problem, we are given a directed graph G(V, E) and a set of traffic demands. Routing δ_e units of demands along an edge e will incur a cost of f_e(δ_e) = μ_e(δ_e)~a with μe > 0 and α > 1. The objective is to find integral routing paths for minimizing ∑_ef_e(δ)e). Through developing a new labeling technique and applying it to a randomized reduction, we prove an Ω(((log |E|)/(log log |E|))~α ? |E|~(-(1/4))-hardness factor for this problem under the assumption that NP ?? ZPTIME(n~(Polylog(n))).
机译:我们研究了超连续多项式成本的指导图中路由的问题,这对于提高网络的能效是显着的。在这个问题中,我们给出了一系列的指示图g(v,e)和一组业务需求。路由Δ_e沿边缘E的需求单元将产生f_e(Δ_e)=μ_e_e(Δ_e)〜a的成本,其中μe> 0和α> 1。目的是找到最小化σ_ef_e(δ)e的积分路由路径)。通过开发新的标签技术并将其应用于随机减少,我们证明了ω(((log | |)/(log log | e |))〜α?|〜( - (1/4)) - 在假设NP ?? Zptime(n〜(polylog(n)))下的这种问题的因素。

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