基于混合云技术的媒体融合系统设计  

Design of Media Convergence System Based on Hybrid Cloud Technology

作　　者：孔德会 苏彧 KONG Dehui;SU Yu(Anshan News and Media Center,Anshan 114001,China)

机构地区：[1]鞍山市新闻传媒中心,辽宁鞍山114001

出　　处：《电视技术》2023年第3期153-158,共6页Video Engineering

摘　　要：为满足融媒体中心对高效、低成本、高可靠性的媒体融合服务需求,设计一个基于混合云技术的媒体融合系统。首先,通过公有云和私有云搭建混合架构,包括用户、混合云管理、混合云三个多源信息合成模块。其次,根据混合云环境的特点和用户需求,设计资源混合模型,包括数据层、特征层和决策层三个层次,并基于证据组合规则、DAG工作流模型对三个层次进行优化。最后,测试系统性能(即所用时间和成本)并与其他方案进行比较。结果表明,所设计的融合任务的通过率保持在100%,在时间和成本上的花费低于其他算法50%以上,系统稳定性较高。提出的媒体融合系统可被实际推广应用。In order to meet the demand of media convergence center for efficient,low-cost and highly reliable media convergence services,this paper designs a media convergence system based on hybrid cloud technology.First,a hybrid architecture is built through public and private clouds,including three multi-source information synthesis modules for users,hybrid cloud management,and hybrid cloud.Secondly,according to the characteristics of hybrid cloud environment and user requirements,a resource hybrid model is designed,including three levels of data layer,feature layer and decision layer,and the three levels are optimized based on evidence combination rules and DAG workflow model.Finally,the system performance,i.e.,the time and cost used,is tested and compared with other schemes.The results show that the designed fusion task maintains a pass rate of 100%,and the discourse cost in terms of time and cost is lower than other algorithms by more than 50%,and the system stability is high.Therefore,the media fusion system proposed in this paper can be promoted and applied in practice.

关 键 词：混合云技术 多源信息合成 证据组合规则 DAG工作流模型 

分 类 号：TN948.1[电子电信—信号与信息处理]