Task scheduling optimization strategy based on chaos theory in edge computing

For edge scenarios, inefficient multiuser communication results in invalid occupation of edge service resources and high energy consumption for user offloading, the objective of optimizing the energy consumption for expected successful task offloading was proposed. On the premise of ensuring the minimum communication quality, considered the impact of transmission quality and congestion on task offloading performance, and the opportunity function for the successful establishment of communication between the user and the base station was constructed. Comprehensive consideration of the service capacity limitations of heterogeneous base stations, the queuing theory was used to model the queuing mechanism of offloading tasks, and efficient task assignment strategies were set up for users to realize more reliable transmission and accept idler service resources. The chaotic search task allocation algorithm based on the mixed penalty function was adopted, and the pseudo-random and ergodic characteristics of chaos were used to search and obtain the optimal solution of decision. The simulation results show that the proposed scheme can accelerate convergence, effectively reduce user offloading energy consumption, and improve the communication quality. © 2022, Editorial Board of Journal of Huazhong University of Science and Technology. All right reserved.