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Effects of symmetry on Braess-like paradoxes in distributed computer systems - a numerical study

机译:对称对称对分布式计算机系统荒谬悖论的影响 - 一种数值研究

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Numerical examples of a Braess-like paradox in which adding capacity to a distributed computer system may degrade the performance of all users in the system have already been reported. Unlike the original Braess paradox, this behavior occurs only in the case of finitely many users and not in the case of infinite number of users in the models examined. This study examines a number of numerical examples around the Braess-like paradox such as above. The numerical examples suggest that the Braess-like paradox is stronger, i.e., the performance degradation of all users in the Brass-like paradox is larger when the system has a higher degree of symmetry and, in particular, is strongest in the completely symmetrical system whereby the parameter values describing each user are identical, which is against our previous intuition.
机译:辫状悖论的数值示例,其中向分布式计算机系统添加容量可以降低已经报道了系统中的所有用户的性能。与原始的Braess Paradox不同,这种行为只会在有限的许多用户的情况下发生,而不是在检查模型中的无限数量的用户的情况下。本研究审查了如上所述的珠宝状悖论周围的许多数值例子。数值示例表明,珠宝状的悖论更强,即黄铜状悖论中所有用户的性能下降,当系统具有更高程度的对称性并且特别是在完全对称的系统中最强由此,描述每个用户的参数值是相同的,这与我们以前的直觉相同。

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