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Energy-saving algorithm for data centre network based on genetic algorithm

机译:基于遗传算法的数据中心网络节能算法

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This thesis focuses on network equipments in the data centre which has caused rapidly growth of energy consumption recent years. The switches account for the largest proportion of energy consumption of network equipments, so turning off unneeded switches can reduce energy consumption effectively. Based on this point, we develop a high-efficient routing algorithm based on genetic algorithm (GA) in order to improve energy consumption of network equipments. Genetic algorithm is a kind of a heuristic algorithm which solves the optimisation problem rapidly by imitating the way of the natural selection, but to a certain degree, it reduces accuracy. It is a complicated problem to decide routing path in a short period, so we choose genetic algorithm to achieve our goals. In our simulation, we make some improvements of GA in order to fit our problem and raise the accuracy of its solution.
机译:本文重点介绍了数据中心的网络设备,这导致了近年来的能源消耗迅速增长。 交换机占网络设备的最大能耗比例,因此关闭不需要的开关可以有效地降低能量消耗。 基于这一点,我们开发了一种基于遗传算法(GA)的高效路由算法,以提高网络设备的能耗。 遗传算法是一种启发式算法,通过模仿自然选择的方式来解决优化问题,但在一定程度上,它降低了精度。 在短时间内决定路由路径是一个复杂的问题,因此我们选择遗传算法来实现我们的目标。 在我们的模拟中,我们对GA进行了一些改进,以适应我们的问题并提高解决方案的准确性。

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