The invention belongs to the field of cloud computing, particularly relates to an associated task scheduling strategy in an Internet of Things scene, and aims to consider the comprehensive task deadline and the total energy consumption of task processing on the premise of not damaging the priority constraint relationship between tasks. The method mainly comprises the following two steps of: A, obtaining a priority sequence based on a relaxation priority algorithm; and B, realizing task allocation based on a constraint optimization algorithm of an ant colony system. An LBP-ACS scheduling algorithm proposed in the field of cloud computing can effectively reduce the energy consumption while improving the task scheduling success rate in solving the associated task scheduling problem with mixeddeadlines.