An efficient and reliable service customized routing mechanism based on deep learning in IPv6 network-Reference-Cited by-同舟云学术

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An efficient and reliable service customized routing mechanism based on deep learning in IPv6 network

Published:2022-08-17 Issue:19 Volume:16 Page:2249-2264
ISSN:1751-8628
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Wang Yufu¹^ORCID,Wang Xingwei¹²,Yi Bo¹,Huang Min³

Affiliation:

1. College of Computer Science and Engineering Northeastern University Shenyang P. R. China

2. The State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang P. R. China

3. College of Information Science and Engineering Northeastern University Shenyang P. R. China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cmu2.12479

Reference40 articles.

1. QoS‐aware IoT networks and protocols: A comprehensive survey

2. Towards delay-optimized and resource-efficient network function dynamic deployment for VNF service chaining

3. Uncertainty-Aware Resource Provisioning for Network Slicing

4. Modeling IPv6 adoption from biological evolution

5. Google IPv6 Statistics.https://www.google.com/intl/en/ipv6/statistics.html. Accessed 16 June2022

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1. Contract Theory-Based Customized Service Scheduling for Predictable QoS in WANs;ICC 2024 - IEEE International Conference on Communications;2024-06-09

2. Optical routing: link failure detection-aided optimal routing in elastic optical networks using hybrid deep learning with target-based feature pool formation;Australian Journal of Electrical and Electronics Engineering;2024-05-28

3. NT-SCDC: Realizing Service Customized Networking in Distributed Clouds with NaaS Ticket;IEEE Network;2023

4. A Group Handover Scheme for Supporting Drone Services in IoT-Based 5G Network Architectures;Drones;2022-12-17

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