Performance anomaly detection models of virtual machines for network function virtualization infrastructure with machine learning

J Qiu, Q Du, Y He, YQ Lin, J Zhu, K Yin - … 4-7, 2018, Proceedings, Part II 27, 2018 - Springer
Abstract Networking Function Virtualization (NFV) technology has become a new solution for
running network applications. It proposes a new paradigm for network function management …

A Machine Learning based SLA-Aware VNF Anomaly Detection Method in Virtual Networks

J Hong, S Park, JH Yoo… - … Conference on Information …, 2020 - ieeexplore.ieee.org
Since the concept of Software-Defined Networking (SDN) and Network Function
Virtualization (NFV) has been proposed, telcos and service providers have leveraged these …

Machine learning based sla-aware vnf anomaly detection for virtual network management

J Hong, S Park, JH Yoo… - 2020 16th International …, 2020 - ieeexplore.ieee.org
Since the concept of Software-Defined Networking (SDN) and Network Function
Virtualization (NFV) has been proposed, telcos and service providers have leveraged these …

Model-based analytics for profiling workloads in virtual network functions

R Bruschi, F Davoli, P Lago… - 2017 IEEE Conference on …, 2017 - ieeexplore.ieee.org
With the flexibility and programmability levels offered by Network Functions Virtualization
(NFV), it is expected to catalyze the upcoming “softwarization” of the network through …

Real-time analysis of multiple root causes for anomalies assisted by digital twin in NFV environment

W Wang, L Tang, C Wang… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Network Function Virtualization (NFV) is a promising paradigm that enables the employment
of novel service types with lower deployment cost and faster time-to-value, but it introduces …

NFVPerf: Online performance monitoring and bottleneck detection for NFV

P Naik, DK Shaw, M Vutukuru - 2016 IEEE Conference on …, 2016 - ieeexplore.ieee.org
Network Function Virtualization (NFV) is a new trend in networking, where network functions
are moving from custom hardware appliances to software implementations running on …

Impact of virtual networks on anomaly detection with machine learning

D Spiekermann, J Keller - 2020 6th IEEE Conference on …, 2020 - ieeexplore.ieee.org
The enormous number of network packets transferred in modern networks together with the
high-speed transmissions hamper the implementation of successful IT security mechanisms …

Predictive analysis in network function virtualization

Z Li, Z Ge, A Mahimkar, J Wang, BY Zhao… - Proceedings of the …, 2018 - dl.acm.org
Recent deployments of Network Function Virtualization (NFV) architectures have gained
tremendous traction. While virtualization introduces benefits such as lower costs and easier …

Applying machine learning to service assurance in network function virtualization environment

Z Zhou, T Zhang - … on Artificial Intelligence for Industries (AI4I), 2018 - ieeexplore.ieee.org
With the complexity, heterogeneity, and scale of today's networks, service assurance is
becoming increasingly complicated. Meanwhile, significant amounts of telemetry data are …

An approach of collecting performance anomaly dataset for NFV Infrastructure

Q Du, Y He, T Xie, K Yin, J Qiu - … November 15-17, 2018, Proceedings, Part …, 2018 - Springer
Abstract Network Function Virtualization (NFV) technology is widely used in industry and
academia. Meanwhile, it brings a lot of challenges to the NFV applications' reliability, such …