Shadow prices for modified least loaded routing (MLLR)

C. Vargas, M. Hegde, M. Naraghi-Pour
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Abstract

Presents modified least loaded routing (MLLR), a routing policy where no preference is given to the direct single link path but rather the first choice path is chosen statistically based on the results of an optimization problem. The authors calculate shadow prices for MLLR using the blocking probability obtained from a fixed point performance evaluation algorithm. Numerical results comparing performance of LLR and MLLR in, terms of blocking probability are introduced. As an application, the authors formulate and solve a nonlinear constrained optimization problem to calculate the load sharing coefficients that result in a maximum network rate of return for fixed levels of OD pair blocking probabilities.
修改的最小负载路由(MLLR)的影子价格
提出了一种改进的最小负载路由策略(MLLR),该策略不优先考虑直接的单链路路径,而是根据优化问题的结果统计地选择第一选择路径。作者利用定点性能评估算法得到的阻塞概率计算了MLLR的影子价格。介绍了用阻塞概率比较LLR和MLLR性能的数值结果。作为应用,作者构造并求解了一个非线性约束优化问题,以计算固定OD对阻塞概率水平下导致最大网络回报率的负载共享系数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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