Offloading Using Traditional Optimization and Machine Learning in Federated Cloud–Edge–Fog Systems: A Survey-Reference-Cited by-同舟云学术

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Offloading Using Traditional Optimization and Machine Learning in Federated Cloud–Edge–Fog Systems: A Survey

Published:2023 Issue:2 Volume:25 Page:1199-1226
ISSN:1553-877X
Container-title:IEEE Communications Surveys & Tutorials
language:
Short-container-title:IEEE Commun. Surv. Tutorials

Author:

Kar Binayak¹^ORCID,Yahya Widhi²^ORCID,Lin Ying-Dar³^ORCID,Ali Asad²^ORCID

Affiliation:

1. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

2. Department of Electrical Engineering and Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

3. Department of Computer Science, National Yang Ming Chiao Tung University, Hsnchu, Taiwan

Funder

Ministry of Science and Technology (MOST), Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/9739/10130694/10025811.pdf?arnumber=10025811

Reference152 articles.

1. Cloud Federations in the Sky: Formation Game and Mechanism

2. Osmotic Computing: A New Paradigm for Edge/Cloud Integration

3. Workload Factoring and Resource Sharing via Joint Vertical and Horizontal Cloud Federation Networks

4. Energy-Aware Resource and Revenue Management in Federated Cloud: A Game-Theoretic Approach

5. Task offloading decision in fog computing system

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1. Living on the edge: A survey of Digital Twin-Assisted Task Offloading in safety-critical environments;Journal of Network and Computer Applications;2024-12

2. A Task Offloading and Resource Allocation Strategy Based on Multi-Agent Reinforcement Learning in Mobile Edge Computing;Future Internet;2024-09-11

3. AI for AI-based intrusion detection as a service: Reinforcement learning to configure models, tasks, and capacities;Journal of Network and Computer Applications;2024-09

4. CoRaiS: Lightweight Real-Time Scheduler for Multiedge Cooperative Computing;IEEE Internet of Things Journal;2024-09-01

5. A survey on computation offloading in edge systems: From the perspective of deep reinforcement learning approaches;Computer Science Review;2024-08

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