Online Data Driven Scheduling for Deadline-Sensitive Tasks of Mobile Edge Computing Enabled Consumer Electronics-Reference-Cited by-同舟云学术

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Online Data Driven Scheduling for Deadline-Sensitive Tasks of Mobile Edge Computing Enabled Consumer Electronics

Published:2024-02 Issue:1 Volume:70 Page:4142-4154
ISSN:0098-3063
Container-title:IEEE Transactions on Consumer Electronics
language:
Short-container-title:IEEE Trans. Consumer Electron.

Author:

Yang Lichao¹^ORCID,Wang Kailin²^ORCID,Xiao Mingyan³^ORCID,Zhang Heli²^ORCID,Li Ming⁴^ORCID,Li Xi²^ORCID,Ji Hong²^ORCID

Affiliation:

1. School of Public Health, Soochow University Medical College, Soochow, China

2. Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China

3. Department of Computer Science, California State Polytechnic University, Pomona, CA, USA

4. Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, USA

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/30/10510045/10422784.pdf?arnumber=10422784

Reference30 articles.

1. DisastDrone: A Disaster Aware Consumer Internet of Drone Things System in Ultra-Low Latent 6G Network

2. On the Road to 6G: Visions, Requirements, Key Technologies, and Testbeds

3. 6G-enabled Consumer Electronics Device Intrusion Detection with Federated Meta-Learning and Digital Twins in a Meta-Verse Environment

4. Throughput Maximization of Delay-Aware DNN Inference in Edge Computing by Exploring DNN Model Partitioning and Inference Parallelism

5. Resource Pricing and Allocation in MEC Enabled Blockchain Systems: An A3C Deep Reinforcement Learning Approach

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