神经网络预防性网络服务管理研究

T. Kawabata, T. Kurimoto, Kimihiro Mizutani
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引用次数: 1

摘要

本文通过对网络功能虚拟化(NFV)硬件和网络性能的长期监测,以及基于神经网络(NNs)的预防性管理,探讨了预期/避免NFV网络服务性能下降的可能性。我们构建了一个实验性的网络服务,定期向硬件和网络系统插入特定数量的压力,让神经网络学习服务性能变化的长期趋势,然后尝试根据神经网络的预期调整VNF资源分配。我们评估和讨论我们的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward Preventive Network Service Management by Neural Networks
In this paper, we’ve explored the possibility of expecting/avoiding degradation of network service performance of Network function virtualization (NFV) by long-term monitoring of hardware and network performances, and adjusting resource assignments of VNFs by preventive management based on Neural Networks (NNs). We’ve constructed an experimental network service, periodically inserted the specific amount of stresses to the hardware and networks systems, and let the NN learn the long-term trends of service performance changes, then try to adjust VNF resource assignment based on NN’s expectations. We evaluate and discuss the results of our experiments.
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