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Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
Published on: November 26, 2019
Multihop cost awareness task migration with networking load balance technology for vehicular edge computing
Shih-Yang Lin1, Jie-Qin Wang2, Shi-Ming Peng2,3
1School of Architecture Engineering, Weifang University of Science and Technology, Weifang, 262700, China. shihyang.lin@wfust.edu.cn.
Vehicular edge computing in 6G networks faces resource limitations. The proposed multihop cost awareness task migration (MCATM) mechanism enhances cooperative vehicular edge computing (VEC) by migrating tasks to suitable servers, improving success rates and balancing loads.
Area of Science:
- Mobile Communication
- Vehicular Networks
- Edge Computing
Background:
- 6G technology will integrate vehicular wireless connections with multi-access edge computing (MEC) for applications like cooperative driving.
- Increasingly, local MEC servers in vehicles may lack sufficient resources for offloaded tasks.
- Cooperative computing among neighboring servers can mitigate local resource scarcity through task migration.
Purpose of the Study:
- To investigate dynamic resource allocation and task migration for cooperative vehicular edge computing (VEC).
- To propose the multihop cost awareness task migration (MCATM) mechanism for overloaded local VEC servers.
- To ensure efficient task migration to the most suitable VEC server.
Main Methods:
- The MCATM mechanism evaluates nearest VEC server capabilities for task offloading.
- It addresses duplicate server selection among n-hop neighbors for optimal task migration.
- It identifies efficient transmission paths using the weight variable analytic hierarchy process (WVAHP) and pre-allocation with cost balance (PACB) algorithm.
Main Results:
- MCATM successfully migrates computational tasks to appropriate neighboring VEC servers.
- The mechanism increases the task migration success rate.
- MCATM effectively balances network traffic and computing server capabilities.
Conclusions:
- The proposed MCATM mechanism enhances cooperative VEC by enabling efficient task migration.
- MCATM addresses resource limitations in vehicular edge computing environments.
- This approach improves the reliability and efficiency of 6G vehicular networks.
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