[PDF][PDF] 基于深度信念网络资源需求预测的虚拟网络功能动态迁移算法

唐伦, 赵培培, 赵国繁, 陈前斌 - 电子与信息学报, 2019 - jeit.ac.cn
针对5G 网络场景下缺乏对资源需求的有效预测而导致的虚拟网络功能(VNF) 实时性迁移问题,
该文提出一种基于深度信念网络资源需求预测的VNF 动态迁移算法. 该算法首先建立综合带宽 …

Forecasting operation metrics for virtualized network functions

T Cucinotta, G Lanciano, A Ritacco… - 2021 IEEE/ACM 21st …, 2021 - ieeexplore.ieee.org
Network Function Virtualization (NFV) is the key technology that allows modern network
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Design, implementation, and evaluation of learning algorithms for dynamic real‐time network monitoring

R Mijumbi, A Asthana, M Koivunen… - … Journal of Network …, 2021 - Wiley Online Library
Network monitoring is necessary so as to ensure high reliability and availability in telecom
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Cognitive management of SLA in software-based networks

J Bendriss - 2018 - theses.hal.science
The main goal of the PhD activities is to define and develop architecture and mechanisms to
ensure consistency and continuity of the operations and behaviors in mixed physical/virtual …

RNN‐EdgeQL: An auto‐scaling and placement approach for SFC

S Pandey, M Choi, JH Yoo… - International Journal of …, 2023 - Wiley Online Library
This paper proposes a prediction‐based scaling and placement of service function chains
(SFCs) to improve service level agreement (SLA) and reduce operation cost. We used a …

图神经网络及其在通信网络领域应用综述.

李硕朋, 齐思宇, 林绍福, 刘希亮… - Journal of Beijing …, 2021 - search.ebscohost.com
摘摇要: 近年来, 图神经网络作为人工智能领域的新兴技术, 受到越来越多的关注.
图神经网络凭借其处理非欧式空间数据的优良特性, 已经在计算机视觉, 推荐系统 …

Gemma: reinforcement learning-based graph embedding and mapping for virtual network applications

M Park, Y Lee, I Yeom, H Woo - IEEE Access, 2021 - ieeexplore.ieee.org
Virtual network mapping (VNM) is a challenge in the field of network virtualization. As VNM
variants have been formalized depending on substrate network structures, virtual network …

Identifying Network Congestion Using Knowledge Graphs and Link Prediction

A Mitropoulou, P Kokkinos, E Varvarigos - Proceedings of the IEEE/ACM …, 2023 - dl.acm.org
In this work, we introduce a dynamic, context-aware system for managing communication
networks using knowledge graphs. We utilize graph embeddings to create vector …

A residual lstm based multi-label classification framework for proactive sla management in a latency critical nfv application use-case

N Jalodia, M Taneja, A Davy… - 2022 IEEE 19th Annual …, 2022 - ieeexplore.ieee.org
We are witnessing an emergence of a new era of applications delivered via a paradigm of
flexible and softwarized communication networks. This has opened the market to a wider …

Joint VNF load balancing and service auto-scaling in NFV with multimedia case study

AH Ghorab, A Kusedghi, MA Nourian… - … , Computer Society of …, 2020 - ieeexplore.ieee.org
The evolution of 5G key enabler technologies, such as SDN and NFV, has brought Network
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