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Numerical studies on a paradox for non-cooperative static load balancing in distributed computer systems

机译:分布式计算机系统中非合作静态负载平衡悖论的数值研究

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摘要

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 under non-cooperative optimization have been reported. Unlike the original Braess paradox, in the models examined, this behavior occurs only in the case of finitely many users and not in the case of infinite number of users and the degree of performance degradation can increase without bound. This study examines numerically some examples around the Braess-like paradox in a distributed computer system. In the numerical examples, it is observed that the worst-case degree of the paradox (WCDP) is largest in complete symmetry. The dependence of the WCDP on some system parameters is also examined.
机译:已经报道了类似Braess悖论的数值示例,其中在分布式数据库系统中增加容量可能会在非合作优化的情况下降低系统中所有用户的性能。与最初的Braess悖论不同,在检查的模型中,仅当用户数有限时才会出现此行为,而在用户数不限的情况下就不会出现这种情况,并且性能下降的程度会无限制地增加。这项研究通过数值方法研究了分布式计算机系统中类似Braess悖论的一些示例。在数值示例中,可以观察到,在完全对称的情况下,最坏情况的悖论程度(WCDP)最大。还检查了WCDP对某些系统参数的依赖性。

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