Reliability-based offloading strategy for deadline-constrained taskflows in vehicular edge computing environments,Transactions on Emerging Telecommunications Technologies

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Reliability-based offloading strategy for deadline-constrained taskflows in vehicular edge computing environments
Transactions on Emerging Telecommunications Technologies ( IF 2.5 ) Pub Date : 2022-08-12 , DOI: 10.1002/ett.4615
Bo Li ₁ , Kun Li ₁ , Shicheng Jin ₁ , Rongrong Qian ₁ , Hongwei Ding ₁

Affiliation

Vehicular edge computing (VEC) offers a new paradigm for improving vehicular services and enhancing vehicle capabilities. In the VEC environments, vehicles can offload tasks to edge servers deployed in roadside units or other vehicles via wireless networks to enhance their computation capability. However, the high mobility of vehicles will lead to constant change of the network topology among resources, which will affect the completion time and the reliability of offloaded tasks. Therefore, we proposes a reliability-based offloading strategy by considering task attributes, resource state, completion time, and reliability to map task flows to resources that can satisfy the time constraints with high reliability. The experimental results show that, compared with existing typical algorithms, the proposed strategy not only reduces the average completion time of tasks, but also ensures the reliability of tasks.

中文翻译：

基于可靠性的卸载策略，适用于车辆边缘计算环境中的期限受限任务流

车辆边缘计算 (VEC) 为改善车辆服务和增强车辆功能提供了新范例。在 VEC 环境中，车辆可以通过无线网络将任务卸载到部署在路边单元或其他车辆中的边缘服务器，以增强其计算能力。然而，车辆的高机动性会导致资源间网络拓扑的不断变化，从而影响卸载任务的完成时间和可靠性。因此，我们提出了一种基于可靠性的卸载策略，通过考虑任务属性、资源状态、完成时间和可靠性，将任务流映射到能够满足时间约束且具有高可靠性的资源。实验结果表明，与现有典型算法相比，

更新日期：2022-08-12

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