New Three-Tier Game-Theoretic Approach for Computation Offloading in Multi-Access Edge Computing
- Publisher:
- Institute of Electrical and Electronics Engineers (IEEE)
- Publication Type:
- Journal Article
- Citation:
- IEEE Transactions on Vehicular Technology, 2022, 71, (9), pp. 9817-9829
- Issue Date:
- 2022-09-01
Closed Access
| Filename | Description | Size | |||
|---|---|---|---|---|---|
| New Three-Tier Game-Theoretic Approach for Computation Offloading in Multi-Access Edge Computing.pdf | Published version | 2.23 MB |
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
In this paper, a new game-theoretic multi-layer computing resource and network resource allocation algorithm is proposed for computation offloading in Multi-access Edge Computing (MEC) networks. We establish a new multi-layer system model for Data Center Operators and develop resource allocation relation between the MEC data center operators and users. We also investigate the matching relationship between the cloudlets and users. Based on the proposed multi-layer allocation algorithm, a joint optimization framework is delivered to realize the allocation of computing resources and communication channels in MEC. Simulation results show that the proposed algorithm provides effective solution for the problem of cloudlets allocation in MEC networks, and can significantly improve the computing and communication capabilities in the presence of user heterogeneity.
Please use this identifier to cite or link to this item: