TY - JOUR A2 - Bi, Ting AU - Liu, Zemin AU - Zhou, Na AU - Wang, Yan AU - Zhou, Jian-Tao AU - Zhang, Haotian AU - Xu, Gang PY - 2022 DA - 2022/02/14 TI - An Effective Task Offloading Method for Separable Complex Mobile Terminal Tasks SP - 3700135 VL - 2022 AB - Due to limited energy and computing power of IoT devices, they cannot handle complex tasks. Edge computing technology effectively solves the requirements of computing power and response delay for complex tasks in devices by migrating computing power to the vicinity of IoT devices. For a separable complex task on IoT terminal, we focus on the effects of data distribution, dependencies, and offloading sequence of subtasks on its total delay when it is offloaded to edge servers. Through comprehensively considering these factors, we study the slicing and choreographing method during the offloading process of a complex task. Firstly, a task slicing method based on hierarchical clustering is presented and an improved hierarchical clustering algorithm is used to obtain the optimal solution of task partitioning. Secondly, a task choreographing method based on overlapping the longest path is presented. Finally, through the simulation experiments of complex tasks with different structures and loads, the effectiveness of our method is verified. SN - 1530-8669 UR - https://doi.org/10.1155/2022/3700135 DO - 10.1155/2022/3700135 JF - Wireless Communications and Mobile Computing PB - Hindawi KW - ER -