Design of Rational Resource Scheduling Model in Cloud Computing

Aijun Diao

Nanjing Institute Of Mechatronic Technology, Nanjing, 516000, China

Abstract: Resource scheduling in cloud computing environment is affected by network space allocation interference, resulting in poor balance of resource scheduling, in order to improve the performance of resource equilibrium allocation in cloud computing environment. A resource efficient scheduling method based on fuzzy control constraints for cloud computing environment is proposed. The subspace feature analysis method is used to construct the resource information flow model in cloud computing environment, and the characteristic scale of the network resource communication data is extracted, and the global resource scheduling fusion processing is carried out in the cloud computing environment. The constraint function of association rules for resource allocation is constructed, and the adaptive fuzzy weighted control method is adopted to optimize resource scheduling. The simulation results show that the proposed method is reasonable for resource scheduling in cloud computing and has a strong ability to balance resource allocation.

Keywords: Cloud computing; Resource scheduling; Feature extraction; Fusion