Computation Offloading and Resource Allocation in IoT-Based Mobile Edge Computing Systems-Reference-Cited by-同舟云学术

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Computation Offloading and Resource Allocation in IoT-Based Mobile Edge Computing Systems

Published:2023-08-25 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Smart Internet of Things (SmartIoT)
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Author:

Hu Bintao¹,Gao Yuan²,Zhang Wenzhang¹,Jia Dongyao³,Liu Hengyan⁴

Affiliation:

1. School of Internet of Things, Xi'an Jiaotong-Liverpool University,Suzhou,China

2. School of Communication and Information Engineering, Shanghai University,Shanghai,China

3. School of Advanced Technology, Xi'an Jiaotong-Liverpool University,Suzhou,China

4. School of AI and Advanced Computing, Xi'an Jiaotong-Liverpool University,Suzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10296175/10296121/10296246.pdf?arnumber=10296246

Reference20 articles.

1. Enabling Low-latency Applications in Vehicular Networks Based on Mixed Fog/Cloud Computing Systems

2. Dynamic Task Offloading for Mobile Edge Computing with Hybrid Energy Supply

3. Social-Aware Resource Allocation for Vehicle-to-Everything Communications Underlaying Cellular Networks

4. MEC-Assisted Immersive VR Video Streaming Over Terahertz Wireless Networks: A Deep Reinforcement Learning Approach

5. Computation Offloading and Resource Allocation in Mixed Fog/Cloud Computing Systems With Min-Max Fairness Guarantee

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1. Cloud Memory Enabled Code Generation via Online Computing for Seamless Edge AI Operation;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

2. Researching the CNN Collaborative Inference Mechanism for Heterogeneous Edge Devices;Sensors;2024-06-27

3. Risk Assessment Edge Contract for Efficient Resource Allocation;Mathematics;2024-03-26

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