A Deep Neural Network-Based Multi-Label Classifier for SLA Violation Prediction in a Latency Sensitive NFV Application-Reference-Cited by-同舟云学术

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A Deep Neural Network-Based Multi-Label Classifier for SLA Violation Prediction in a Latency Sensitive NFV Application

Published:2021 Issue: Volume:2 Page:2469-2493
ISSN:2644-125X
Container-title:IEEE Open Journal of the Communications Society
language:
Short-container-title:IEEE Open J. Commun. Soc.

Author:

Jalodia Nikita^ORCID,Taneja Mohit^ORCID,Davy Alan^ORCID

Funder

Science Foundation Ireland (SFI) through the European Regional Development Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Medicine

Link

http://xplorestaging.ieee.org/ielx7/8782661/9309127/09592636.pdf?arnumber=9592636

Cited by 4 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. An intelligent scheduling for 5G user plane function placement and chaining reconfiguration;Computer Networks;2023-12

2. Spatial-Temporal Correlation-Based Prediction Model for Node and Link Residual Resources in NFV Networks;2023 International Conference on Networking and Network Applications (NaNA);2023-08

3. Design of an SLA Violation identification framework via Iterative Learning under Temporary Peak loads for Cloud deployments;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

4. A Residual LSTM based Multi-Label Classification Framework for Proactive SLA Management in a Latency Critical NFV Application Use-Case;2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC);2022-01-08

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