Dependent task offloading based on proactive replication Online publication date: Mon, 03-Jun-2024
by Benhong Zhang; Cong He; Hao Xu; Xiang Bi
International Journal of Sensor Networks (IJSNET), Vol. 45, No. 2, 2024
Abstract: Vehicle-to-vehicle (V2V) offloading is considered a promising solution to the problem of limited computing resources in vehicles. In practical applications, many computational tasks can be divided into interdependent subtasks. Existing studies rarely consider the dependency between subtasks and the prospect of subtask offloading failures. In this paper, we propose a DDPG-based proactive replication offloading algorithm of dependent tasks. To improve the success rate of offloading, interdependent subtasks are first categorised into critical subtasks and non-critical subtasks according to the degree of urgency, and critical subtasks will be offloaded to two service vehicles simultaneously. Then, the computational task offloading problem is considered as a linear integer programming problem and the optimal policy for task offloading is obtained using the DDPG algorithm. Simulation results show that this scheme performs well in improving the success rate of offloading and reducing delays.
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