NFLCS: An Service Function Chain Path Optimization Strategy Based on Network-Functional Layout Clustering-Reference-Cited by-同舟云学术

NFLCS: An Service Function Chain Path Optimization Strategy Based on Network-Functional Layout Clustering

Published:2023-08 Issue:8 Volume:72 Page:10813-10825
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Duan Youxiang¹^ORCID,Lu Yuxi¹^ORCID,Shen Shigen²^ORCID,Yu Shui³^ORCID,Zhang Peiying¹^ORCID,Zhang Wei⁴^ORCID,Igorevich Kostromitin Konstantin⁵^ORCID

Affiliation:

1. Qingdao Institute of Software, College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China

2. School of Information Engineering, Huzhou University, Huzhou, China

3. School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia

4. Shandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, China

5. Department of Physics of Nanoscale Systems, South Ural State University, Chelyabinsk, The Russian Federation

Funder

Natural Science Foundation of Shandong Province

RSF

Pilot International Cooperation Project for Integrated Innovation of Science, Education and Industry of Qilu University of Technology

Jinan Scientific Research Leader Studio Project

One Belt One Road Innovative Talent Exchange with Foreign Experts

Industry-university Research Innovation Foundation of Ministry of Education of China

Major Scientific and Technological Projects of CNPC

Open Foundation of State Key Laboratory of Integrated Services Networks

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/10230043/10076916.pdf?arnumber=10076916

Reference38 articles.

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4. Q-learning based Service Function Chaining using VNF Resource-aware Reward Model

5. Service Function Chain Composition, Placement, and Assignment in Data Centers

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