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

Abstract

AbstractVehicular 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.