| 摘要: |
| 为了有效利用边缘云的计算资源，尽可能降低任务卸载时的平均等待时延，提出了一种满足边缘计算服务器容限阈值和任务卸载成功率约束条件下的多个边缘计算服务器相互协作的资源分配方案，通过单位时间总代价指标优化边缘计算服务器个数。将此方案建模为一个整数优化问题，之后设计了一种最小代价算法求解此优化问题，得到约束条件下的单位时间总代价以及任务平均等待时延。仿真结果表明，与已有方案相比，所提方案降低了单位时间总代价和任务卸载平均等待时延。 |
| 关键词: 车联网 移动边缘计算 协作式资源分配 多服务器排队模型 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目（61971245） |
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| Collaborative resource allocation strategy for mobile edge computing in vehicular networks |
| LIU Fei,CAO Yujie,ZHANG Guoan |
| (School of Information Science and Technology,Nantong University,Nantong 226019,China) |
| Abstract: |
| To efficiently utilize the computing resources of edge cloud and reduce the average waiting delay for task offloading as much as possible,this paper proposes a resource allocation scheme in which multiple edge computing servers cooperate with each other when edge computing servers’ threshold and task offloading success rate satisfy constraints.The number of edge computing servers is optimized by the total cost per unit time.This scheme is modeled as an integer optimization problem.Then,the minimum cost algorithm is designed to solve it and obtain the total cost per unit time along with the average waiting delay under the constraints.Simulation results show that the proposed scheme reduces the total cost per unit time and the average waiting delay for task offloading compared with the existing schemes. |
| Key words: vehicular networks mobile edge computing collaborative resource allocation multi server queueing model |
