Resource scheduling of green communication network for large sports events based on edge computing

Abstract

The operation of large-scale sports events requires strong support from the network foundation. At the same time, network resource scheduling in the era of big data not only determines the operating efficiency of communication network systems, but also plays an important role in effectively reducing greenhouse gas emissions. In order to improve the green energy-saving effect of large-scale sports events network operation, this study analyzes the operation process of its network system and uses the time slot method to perform task routing decision processing. Moreover, this research uses Lyapunov’s optimization technology for algorithm design and algorithm construction for service chain cache and routing problems. In addition, this study combines large-scale sports event communication networks to conduct controlled trial design and performs algorithm performance analysis through simulation analysis. The research shows that the algorithm proposed in this paper can obtain a solution with better performance and can provide theoretical references for subsequent related research.