Improved Double Deep Q Network-Based Task Scheduling Algorithm in Edge Computing for Makespan Optimization-Reference-Cited by-同舟云学术

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Improved Double Deep Q Network-Based Task Scheduling Algorithm in Edge Computing for Makespan Optimization

Published:2024-06 Issue:3 Volume:29 Page:806-817
ISSN:1007-0214
Container-title:Tsinghua Science and Technology
language:
Short-container-title:Tsinghua Sci. Technol.

Author:

Zeng Lei¹,Liu Qi²,Shen Shigen³,Liu Xiaodong⁴

Affiliation:

1. School of Computer Science, Nanjing University of Information Science and Technology,Nanjing,China,210044

2. School of Software, Nanjing University of Information Science and Technology,Nanjing,China,210044

3. School of Information Engineering, Huzhou University,Huzhou,China,313000

4. School of Computing, Edinburgh Napier University,Edinburgh,UK,EH10 5DT

Publisher

Tsinghua University Press

Subject

Multidisciplinary

Link

http://xplorestaging.ieee.org/ielx7/5971803/10339721/10339723.pdf?arnumber=10339723

Reference34 articles.

1. Artificial intelligence for edge service optimization in Internet of Vehicles: A survey

2. Edge and fog computing for IoT: A survey on current research activities & future directions

3. DisCOV: Distributed COVID-19 Detection on X-Ray Images With Edge-Cloud Collaboration

4. Prosumer in smart grids based on intelligent edge computing: A review on Artificial Intelligence Scheduling Techniques

5. ETS-TEE: An Energy-Efficient Task Scheduling Strategy in a Mobile Trusted Computing Environment

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4. EETS: An energy-efficient task scheduler in cloud computing based on improved DQN algorithm;Journal of King Saud University - Computer and Information Sciences;2024-10

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