作者
Juan Qiu, Qingfeng Du, Yu He, YiQun Lin, Jiaye Zhu, Kanglin Yin
发表日期
2018
研讨会论文
Artificial Neural Networks and Machine Learning–ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II 27
页码范围
479-488
出版商
Springer International Publishing
简介
Networking Function Virtualization (NFV) technology has become a new solution for running network applications. It proposes a new paradigm for network function management and has brought much innovation space for the network technology. However, the complexity of the NFV Infrastructure (NFVI) impose hard-to-predict relationship between Virtualized Network Function (VNF) performance metrics (e.g., latency, throughput), the underlying allocated resources (e.g., load of vCPU), and the overall system workload, thus the evolving scenario of NFV calls for adequate performance analysis methodologies, early detection of performance anomalies plays a significant role in providing high-quality network services. In this paper, we have proposed a novel method for detecting the performance anomalies in NFV infrastructure with machine learning methods. We present a case study on the open source NFV …
学术搜索中的文章
J Qiu, Q Du, Y He, YQ Lin, J Zhu, K Yin - Artificial Neural Networks and Machine Learning …, 2018