Reliability‐based offloading strategy for deadline‐constrained taskflows in vehicular edge computing environments

Abstract

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.

Deep reinforcement learning‐based joint task offloading and resource allocation in multipath transmission vehicular networks

“…Both You and Wang proposed offloading algorithms, where part of the data of the task is offloaded to the MEC server for computation 20,21 . Li proposes a mobile edge computing offloading algorithm that considers the reliability of task transmission and task completion time 22 . As the task offloading efficiency of MEC is in high dependence on the transmission resources of the wireless network, various joint task offloading and resource allocation (JTORA) algorithms have been proposed 23,24 .…”

“…20,21 Li proposes a mobile edge computing offloading algorithm that considers the reliability of task transmission and task completion time. 22 As the task offloading efficiency of MEC is in high dependence on the transmission resources of the wireless network, various joint task offloading and resource allocation (JTORA) algorithms have been proposed. 23,24 Yu and Zhang proposed task offloading schemes integrating sub-carrier allocation optimization.…”