Unsorting the Proportional Fairness Relation

M. Köppen, Kaori Yoshida, M. Tsuru
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引用次数: 4

Abstract

Typical problems related to the application of proportional fairness are sparsity of the relation with increasing dimension, and the operator confusion problem. Here, we propose a new fairness relation derived from proportional fairness to handle these problems. The design principle behind this relation is relational unsorting: if there is a relation x(R)y between elements x and y from n-dimensional Euclidian space, the unsorted relation x(uR)y holds whenever there is a permutation x* of the elements of x for which x*(R)y holds. We apply this concept to proportional fairness, study the properties of the new relation, contrast with another relation based on over-sorting proportional fairness, and provide simulations to demonstrate the ease of ordered proportional fairness for meta-heuristic search.
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拆解比例公平关系
与比例公平性应用相关的典型问题是随着维数增加关系的稀疏性问题和算子混淆问题。在此,我们提出了一个由比例公平推导出的新的公平关系来处理这些问题。这个关系背后的设计原则是关系无序:如果在n维欧几里德空间的元素x和y之间存在一个关系x(R)y,那么只要x的元素x*(R)y存在一个排列x*,这个无序关系x(uR)y就成立。我们将这一概念应用到比例公平中,研究了新关系的性质,并与另一种基于过度排序比例公平的关系进行了对比,并通过仿真证明了有序比例公平在元启发式搜索中的易用性。
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