混合云中基于动态调度的资源访问策略——以安徽专技在线平台为例  

Resource Access Strategy Based on Dynamic Scheduling in Hybrid Cloud:Taking Anhui Professional and Technical Personnel Continuing Education Online Platform as an Example

作　　者：樊浩 徐明伟 吴文明[1] FAN Hao;XU Mingwei;WU Wenming(Anhui Radio and Television University,Hefei 230022,China;Hefei Binhu Vocational and Technical College,Hefei 230022,China)

机构地区：[1]安徽广播电视大学,合肥230022 [2]合肥滨湖职业技术学院,合肥230601

出　　处：《安徽广播电视大学学报》2021年第1期91-96,共6页Journal of Anhui Radio & TV University

基　　金：安徽省高等学校省级重点教学研究项目“基于云存储技术的高职院校网络教学资源共享平台研究”(项目编号:2017JYXM0891)。

摘　　要：基于安徽专业技术人员继续教育在线平台开展安徽专业技术人员网络培训的实际,介绍了主流的云计算服务方式,指出了在培训实施过程中面临的网络带宽不足问题及当前解决办法的弊端。基于私有云和公有云的特点,结合热门课程统计机制和带宽拥堵阈值机制,提出一种在二者结合环境下的混合云中基于动态调度的资源访问策略。通过仿真实验可以看出对比私有云策略和公有云策略,提出的资源访问策略在缩短拥堵时间和节约带宽流量上都取得了比较好的效果。Based on the practice of“Anhui Professional and Technical Personnel Continuing Education Online”platform for network training of Anhui professionals and technicians,the paper introduces the mainstream cloud computing service mode,and points out the current situation of network bandwidth shortage in the process of training implementation and the drawbacks of the current solutions.Based on the characteristics of private and public clouds,combine the hot course statistics mechanism with the bandwidth congestion threshhold mechanism,it proposes a resource access strategy based on dynamic scheduling in the hybrid cloud under the combined environment of the two.Through the simulation experiment,it can be seen that compared with the private cloud strategy and the public cloud strategy,the proposed resource access strategy has achieved good results in shortening the congestion time and saving the bandwidth traffic.

关 键 词：云计算服务 动态调度 访问策略 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]