Research on Performance Optimization of Heterogeneous Data Center in Higher Vocational Colleges
As a new way of data and information processing,cloud computing is becoming more and more important with the popularity of the Internet and the continuous growth of data usage.Aiming at the heterogeneous data center architecture of Infrastructure as a Service(IaaS)provided by the data center of higher vocational colleges,the cloud computing scheduling strategy is studied and optimized.Through the analysis of the actual situation of a higher vocational college,an optimized workflow scheduling model——Multi-user Mixed Scheduling Model(MMSM)is proposed to improve system performance and efficiency.This model considers the balance between service quality and efficiency,and optimizes workflow scheduling through scheduling algorithms.Through the test of the simulation environment and the analysis of experimental results,the effectiveness and performance advantages of the proposed model are verified.