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Understanding XCP: Equilibrium and Fairness

机译:理解XCP:平衡与公平

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We prove that the XCP equilibrium solves a constrained max-min fairness problem by identifying it with the unique solution of a hierarchy of optimization problems, namely those solved by max-min fair allocation, but solved by XCP under an additional constraint. This constraint is due to the “bandwidth shuffling” necessary to obtain fairness. We describe an algorithm to compute this equilibrium and derive a lower and upper bound on link utilization. While XCP reduces to max-min allocation at a single link, its behavior in a network can be very different. We illustrate that the additional constraint can cause flows to receive an arbitrarily small fraction of their max-min fair allocations. We confirm these results using ns2 simulations.
机译:我们证明XCP均衡通过将其与优化问题的层次结构(即通过max-min公平分配解决但通过XCP在附加约束条件下解决的问题)的唯一解决方案进行标识来解决,从而解决了受约束的max-min公平性问题。该约束是由于获得公平性所必需的“带宽改组”。我们描述了一种算法来计算此平衡并得出链路利用率的下限和上限。尽管XCP减少了单个链路上的最大-最小分配,但是它在网络中的行为可能有很大不同。我们说明了附加约束可以导致流接收其最大-最小公平分配的任意一小部分。我们使用ns2仿真确认了这些结果。

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