Improving Fairness and Performance in Resource Usage for Vehicular Edge Computing
Author:
Affiliation:
1. University of Campinas (UNICAMP),Institute of Computing (IC),Brazil
2. Federal University of Pará (UFPA),Department of Exact and Natural Sciences (ICEN),Brazil
3. TU Dresden,Faculty of Computer Science,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10333258/10333344/10333418.pdf?arnumber=10333418
Reference15 articles.
1. Idle-parked vehicles assisted collaborative resource allocation in VEC based on Stackelberg game
2. Joint Secure Offloading and Resource Allocation for Vehicular Edge Computing Network: A Multi-Agent Deep Reinforcement Learning Approach
3. Mobility and Deadline-Aware Task Scheduling Mechanism for Vehicular Edge Computing
4. Task Offloading in Vehicular Edge Computing Networks: A Load-Balancing Solution
5. A survey on Vehicular Fog Computing: Current state-of-the-art and future directions
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