高职院校异构数据中心性能优化研究

Research on Performance Optimization of Heterogeneous Data Center in Higher Vocational Colleges

云计算作为一种新兴的数据与信息处理方式,随着互联网的普及和数据使用量的持续增长,正变得越来越重要。针对高职院校数据中心提供的基础设施即服务(IaaS)的异构数据中心架构,研究优化了云计算调度策略。通过对某高职院校的实际情况进行分析,提出了一种优化的工作流调度模型--多用户混合调度模型(MMSM),以提高系统性能和效率。该模型考虑了服务质量和效率之间的平衡,并通过调度算法优化工作流调度。通过仿真环境的测试和实验结果分析,验证了提出模型的有效性和性能优势。

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.