Task allocation in Vehicular Edge Computing Dataset

This dataset represents synthetic task profiles generated for evaluating task offloading decisions in cloud and edge computing environments. Each task is characterized by its position (source node), instruction complexity, data size, and priority. The goal is to predict the optimal destination node (class) for each task, which indicates where the task should be offloaded or processed. The dataset is useful for research in task scheduling, cloud-edge orchestration, federated learning, and distributed systems.