5G网络中流媒体资源的联合调度与分配优化

Joint scheduling and allocation optimization of streaming media resources in 5G network

为了提高移动设备的高速接入需求,针对当今资源调度的问题将本地微云系统建立在云接入层C-RAN上,提出了分层次云服务系统。采用"效用函数"做为本地微云系统和云无线接入网络联系的中间桥梁,定义了收益函数和成本函数,成功建立了综合效用最优化模型。在运行中,C-RAN负责无线资源的分配问题,本地微云服务器负责统筹本地用户的对虚拟资源的服务需求,数据中心负责预测用户需求并将数据和服务缓存到本地的微云系统中,通过集中式调度和分布式分配的最优化组合,得到网络资源最优联合调配方案。仿真结果表明:资源联合调度与分配(JRSA)模型能够均衡整个网络的负载,进一步提高资源利用率和扩大系统容量。

To meet the high-speed access requirements of mobile devices,with a focus on the resource scheduling problem,we establish a local cloud system on the cloud radio access network（ C-RAN） of the cloud access layer and propose a hierarchical cloud service system. Taking the ＂utility function＂as an intermediate bridge between the two,we define the revenue and cost functions and successfully establish a comprehensive utility optimization model. During operation,the C-RAN is responsible for the allocation of wireless resources,the local micro-cloud server is responsible for coordinating the service demands of local users for virtual resources,and the data center is responsible for predicting user demand and caching data and services in the local micro-cloud system. By optimally combining centralized scheduling and distributed allocation,an optimal combined distribution scheme of network resources can be obtained,the resource utilization rate can be increased,and the system capacity can be extended.