Research On Resource Management Of Mobile Edge Network

Under the background of the rapid development and popularization of big data net-work,new technologies and business requirements such as Internet of things technology,virtual reality technology,automatic driving technology,real-time online games are also increasing rapidly.New network services put forward more stringent requirements on the delay and reliability of communication system.In the traditional network structure,when the user needs to apply for a service,the network application goes from the edge network to the core network,all the way to the data center,and the returned result is also returned from the data center through the same path.But the efficiency of this transmission mode is difficult to solve the contradiction between the huge data traffic and more efficient and reliable transmission requirements in the business which needs to pursue real-time.In order to reduce the data transmission delay and improve the efficiency of network trans-mission,the most direct means is to shorten the transmission distance.Therefore,mobile edge network has become an important research direction in the future communication network technology represented by 5G.Mobile Edge network refers to the part of the network which is close to the termi-nal but far away from the data center.The mobile edge computing technology refers to the combination of Internet technology and communication network technology,which di-vides the business in the Internet into the part that must be processed by the data center and the part that can be decentralized to the edge network for processing,and decentralizes the storage,calculation and other business processing functions to the edge network,which only involves statistical analysis,In order to reduce the transmission delay and network traffic,and improve the efficiency of business processing,network security and other ser-vices that must be processed by the data center for long-distance transmission.According to the theory of mobile edge network,this paper proposes a series of edge network re-source allocation and management strategies by optimizing the processing algorithm and allocation process of all kinds of network resources in the process of edge computing.This paper analyzes it from three aspects: first,it designs a strategy of computing offloading among nodes in mobile edge network to balance computing pressure,and uses computing offloading to improve the processing speed of computing tasks arriving at edge nodes.Secondly,the strategy of caching hot content in mobile edge network is designed,which makes use of the caching capacity of edge nodes to cache the hot content in the process of communication locally,so as to reduce the delay when the hot content is re accessed.Thirdly,the short distance between mobile edge network and local terminal is used to realize the real-time dynamic allocation of communication resources such as traffic and bandwidth of terminal equipment.This paper designs a complete resource management model through dynamic allocation of various network resources using different strategies in mobile edge network environment,which provides theoretical support for mobile edge network construction and device deployment.