边缘算力网络中智能算力感知路由分配策略研究

增强现实、自动驾驶、智慧城市、工业互联网等新型业务应用对网络算力的需求逐渐增强,然而,边缘算力网络系统面临着网络共存的问题——负载不均衡,导致一部分边缘服务器无法满足业务应用的处理需求,另一部分边缘服务器的算力资源处于空闲状态.为了高效协同地感知利用泛在、异构的算力资源,提升6G通信网络的内生感知和算力自适应能力,急需...

Study on Intelligent Computing Aware Route Allocation Policy in Edge Computing-Aware Networks

Emerging network services and applications such as augmented reality,self-driving,smart cities,industrial Internet,put forward higher requirement for computing power.However,computing-aware network is faced with the problem which traditional network is also faced with,i.g,load unbalance.Some edge servers fail to provide enough resources,but the resources of the others are under-utilized.To aware and leverage ubiquitous and heterogeneous computing resource efficiently and collaboratively,and improve 6G communication network endogenous perception and computing adaptive ability,it is urgent to break through computing-aware networking route policy and resource allocation.First,the evolution and demand of computing-aware networking for the vision of 6G networks are analyzed.Then,an intelligent task scheduling model for joint routing control and resource allocation is constructed,which makes intelligent decisions for task scheduling and resources on demand.Finally,the computing aware-route-allocate policy based on Floyd algorithm is put forward.Numerical simulation results show that the computing aware-route-allocate policy based on Floyd algorithm can satisfy more users,shorten average delay for task process,and increase the utilization ratio of storage and computing resources.