Resource Allocation Strategies for Cloud-Edge-End Collaboration in Heterogeneous Edge Computing
Author:
Affiliation:
1. Beijing University of Technology,Beijing Engineering Research Center for IoT Software and Systems,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10541315/10541307/10541444.pdf?arnumber=10541444
Reference8 articles.
1. Cloud-Edge-End Collaboration in Air–Ground Integrated Power IoT: A Semidistributed Learning Approach
2. Trusted Sharing of Data Under Cloud-Edge-End Collaboration and Its Formal Verification
3. Management and Control of Load Clusters for Ancillary Services Using Internet of Electric Loads Based on Cloud–Edge–End Distributed Computing
4. AI-Driven Energy-Efficient Content Task Offloading in Cloud-Edge-End Cooperation Networks
5. DMORA: Decentralized Multi-SP Online Resource Allocation Scheme for Mobile Edge Computing
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