NFVLearn: A multi‐resource, long short‐term memory‐based virtual network function resource usage prediction architecture
Author:
Affiliation:
1. Department of Software and Information Technology Engineering, École de technologie supérieure Université du Québec Montréal Quebec Canada
2. Ericsson Canada Montréal Quebec Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Wiley
Subject
Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/spe.3160
Reference25 articles.
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2. Topology-Aware Prediction of Virtual Network Function Resource Requirements
3. ChoY JangS PackS.On performance VNF load prediction models in service function chaining. Proceedings of the International Conference on ICT Convergence; Vol. 2020‐October 2020:344‐346.
4. A multitime-steps-ahead prediction approach for scheduling live migration in cloud data centers
5. ChakrabortyP CoriciM MagedanzT.A comparative study for Time Series Forecasting within software 5G networks. Proceedings of the 2020 14th International Conference on Signal Processing and Communication Systems ICSPCS;2020.
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Graph Transformer and LSTM Attention for VNF Multi-Step Workload Prediction in SFC;IEEE Transactions on Network and Service Management;2024-08
2. Multivariate outlier filtering for A-NFVLearn: an advanced deep VNF resource usage forecasting technique;The Journal of Supercomputing;2023-04-26
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