Optimization algorithm for cloud resource scheduling based on auction mechanism

With the increasing variety of cloud platforms and the rising demand for cloud resources, how cloud providers allocate their cloud resources has gradually become a trouble some issue. At the same time, under the existing cloud resource allocation strategy, the interests of cloud resource users have not been given much attention, which will lead to the emergence of SLF penalties, a lose-lose outcome. This article addresses the aforementioned issues through an optimization algorithm based on auction mechanisms, which aims to maximize the interests of both parties during the allocation of cloud resources to ensure a win-win outcome. At the same time, decision factors are proposed during the allocation process to ensure the timely completion of user tasks, thereby minimizing the generation of penalties.