Research on the Edge Resource Allocation and Load Balancing Algorithm Based on Vehicle Trajectory
Edge computing empowers the IoV to achieve performance requirements such as low latency and high computational load for in-vehicle services. However, the driving of vehicles is random and unevenly distributed, causing problems such as unbalanced load of edge servers and low edge resource utilization...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2022/5090875 |
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| _version_ | 1832553506627649536 |
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| author | Shuxu Zhao Xinyuan Chen Xiaolong Wang |
| author_facet | Shuxu Zhao Xinyuan Chen Xiaolong Wang |
| author_sort | Shuxu Zhao |
| collection | DOAJ |
| description | Edge computing empowers the IoV to achieve performance requirements such as low latency and high computational load for in-vehicle services. However, the driving of vehicles is random and unevenly distributed, causing problems such as unbalanced load of edge servers and low edge resource utilization. Therefore, in this article, based on the vehicle trajectories, the edge resource allocation algorithm and load balancing algorithm are used to obtain the load prediction value of the edge server and then calculate the optimal edge resource quantity in order to reduce the resource idleness as much as possible. The experiments demonstrate that the application of the edge resource allocation algorithm and load balancing algorithm based on vehicle trajectory significantly reduces the blocking rate of edge resource requests by vehicles and improves the benefits of the overall IoV edge system. |
| format | Article |
| id | doaj-art-e1563985e77c40b6aa365539b688e96a |
| institution | Kabale University |
| issn | 1099-0526 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-e1563985e77c40b6aa365539b688e96a2025-02-03T05:53:51ZengWileyComplexity1099-05262022-01-01202210.1155/2022/5090875Research on the Edge Resource Allocation and Load Balancing Algorithm Based on Vehicle TrajectoryShuxu Zhao0Xinyuan Chen1Xiaolong Wang2Electronics and Information EngineeringElectronics and Information EngineeringElectronics and Information EngineeringEdge computing empowers the IoV to achieve performance requirements such as low latency and high computational load for in-vehicle services. However, the driving of vehicles is random and unevenly distributed, causing problems such as unbalanced load of edge servers and low edge resource utilization. Therefore, in this article, based on the vehicle trajectories, the edge resource allocation algorithm and load balancing algorithm are used to obtain the load prediction value of the edge server and then calculate the optimal edge resource quantity in order to reduce the resource idleness as much as possible. The experiments demonstrate that the application of the edge resource allocation algorithm and load balancing algorithm based on vehicle trajectory significantly reduces the blocking rate of edge resource requests by vehicles and improves the benefits of the overall IoV edge system.http://dx.doi.org/10.1155/2022/5090875 |
| spellingShingle | Shuxu Zhao Xinyuan Chen Xiaolong Wang Research on the Edge Resource Allocation and Load Balancing Algorithm Based on Vehicle Trajectory Complexity |
| title | Research on the Edge Resource Allocation and Load Balancing Algorithm Based on Vehicle Trajectory |
| title_full | Research on the Edge Resource Allocation and Load Balancing Algorithm Based on Vehicle Trajectory |
| title_fullStr | Research on the Edge Resource Allocation and Load Balancing Algorithm Based on Vehicle Trajectory |
| title_full_unstemmed | Research on the Edge Resource Allocation and Load Balancing Algorithm Based on Vehicle Trajectory |
| title_short | Research on the Edge Resource Allocation and Load Balancing Algorithm Based on Vehicle Trajectory |
| title_sort | research on the edge resource allocation and load balancing algorithm based on vehicle trajectory |
| url | http://dx.doi.org/10.1155/2022/5090875 |
| work_keys_str_mv | AT shuxuzhao researchontheedgeresourceallocationandloadbalancingalgorithmbasedonvehicletrajectory AT xinyuanchen researchontheedgeresourceallocationandloadbalancingalgorithmbasedonvehicletrajectory AT xiaolongwang researchontheedgeresourceallocationandloadbalancingalgorithmbasedonvehicletrajectory |