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Iterative max-min fairness algorithms

机译:最大-最小迭代公平算法

摘要

Systems and methods are provided for allocating resources of a network among a plurality of traffic demands to optimize fairness and network utilization. Methods based on flow-increase dynamics converge toward an upward max-min fair (UMMF) allocation, in which the value of each traffic demand cannot be increased, along any of its paths, even if larger traffic demands are removed from the network. An efficient iterative algorithm that converges to a UMMF solution is also provided. The described methods and systems can be implemented efficiently, distributively, and asynchronously.
机译:提供了用于在多个业务需求之间分配网络资源以优化公平性和网络利用率的系统和方法。基于流量增加动态的方法趋于朝着最大最大最小公平(UMMF)分配,其中即使从网络中删除了较大的流量需求,每个流量需求的价值也无法沿其任何路径增加。还提供了一种收敛到UMMF解决方案的有效迭代算法。所描述的方法和系统可以有效,分布式和异步地实现。

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