Evolutionary Multi-Criterion Optimization - 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings
Evolutionary Multi-Criterion Optimization - 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings
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进化多标准优化 - 第十届国际会议，EMO 2019，美国密歇根州东兰辛，2019 年 3 月 10-13 日，会议记录
DOI：
10.1007/978-3-030-12598-1_42
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Billingsley J
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文献类型：
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作者：
Billingsley J
从网络缓存到防火墙，网络功能在现代网络中发挥着关键作用。网络功能虚拟化(NFV)引起了产业界和学术界的极大兴趣，使得对其配置的研究成为一个活跃的研究课题。由于利益相关者必须考虑多个标准，例如最小化端到端延迟和总体能源消耗，NFV布局问题原则上是一个多目标优化问题。本文基于排队论建立了NFV布局问题的形式化模型。通过使用流行的NSGA-II作为优化器，通过一系列概念验证实验验证了该模型的有效性。特别是，已经开发了一些遗传算子来匹配问题的特征。
Ranging from web caches to firewalls, network functions play a critical role in modern networks. Network function virtualisation (NFV) has gained significant interests from both industry and academia, thus making the study of their placement an active research topic. Due to multiple criteria that must be considered by stake holders, e.g. the minimisation of the end-to-end latency and overall energy consumption, the NFV placement problem is in principle a multi-objective optimisation problem. This paper develops a formal model for the NFV placement problem based on queuing theory. By using the popular NSGA-II as the optimiser, the effectiveness of the proposed model is validated through a series of proof-of-concept experiments. In particular, some genetic operators have been developed to match the characteristics of the problem.