An Efficient Machine Learning-Based Resource Allocation Scheme for SDN-Enabled Fog Computing Environment-Reference-Cited by-同舟云学术

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An Efficient Machine Learning-Based Resource Allocation Scheme for SDN-Enabled Fog Computing Environment

Published:2023-06 Issue:6 Volume:72 Page:8004-8017
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Singh Jagdeep¹^ORCID,Singh Parminder²^ORCID,Hedabou Mustapha²^ORCID,Kumar Neeraj³^ORCID

Affiliation:

1. School of Computer Science and Engineering, Lovely Professional University, Phagwara, India

2. School of Computer Science, University Mohammed VI Polytechnic, Benguerir, Morocco

3. Department of Computer Science and Engineering, Thapar Institute of Engineering & Technology, Patiala, India

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/ielx7/25/10155543/10041775.pdf?arnumber=10041775

Reference43 articles.

1. Mobility Prediction-Based Joint Task Assignment and Resource Allocation in Vehicular Fog Computing

2. Next Generation of SDN in Cloud-Fog for 5G and Beyond-Enabled Applications: Opportunities and Challenges

3. MDP-Based Resource Allocation Scheme Towards a Vehicular Fog Computing with Energy Constraints

4. Bayesian coalition game for contention-aware reliable data forwarding in vehicular mobile cloud;kumar;Future Gener Comput Syst,2015

5. Enabling Robust and Privacy-Preserving Resource Allocation in Fog Computing

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1. Internet of Marketing Things: A Fog Computing Paradigm for Marketing Research;Business, Management and Economics;2024-05-17

2. MTFP: matrix-based task-fog pairing method for task scheduling in fog computing;International Journal of Information Technology;2024-04-15

3. Two-Layer Edge Intelligence for Task Offloading and Computing Capacity Allocation with UAV Assistance in Vehicular Networks;Sensors;2024-03-14

4. HCDQN-ORA: a novel hybrid clustering and deep Q-network technique for dynamic user location-based optimal resource allocation in a fog environment;The Journal of Supercomputing;2024-01-17

5. Poisoning Topology View in Software-Defined Vehicular Network: An Empirical Study;IEEE Transactions on Intelligent Transportation Systems;2024

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