Latency-aware scheduling for data-oriented service requests in collaborative IoT-edge-cloud networks

Mengyu Sun, Shuo Quan, Xuliang Wang, Zhilan Huang

Abstract: Highlights•A collaborative IoT-edge-cloud network is constructed, where IoT devices’ sensory data is constantly collected and aggregated to their hosted edge nodes. The cloud center schedules edge nodes to satisfy latency-aware service requests.•The data-oriented task scheduling is formulated as a constrained multi-objective optimization problem, focusing on temporal satisfaction achievement and load balancing maintenance.•An improved genetic algorithm-based task scheduling algorithm is developed, an approximate optimal solution is derived.