Research On Cooperative Offloading Method Of Multiple Edge Nodes

In recent years,with the continuous development of network technology,the number of users in the network has continued to increase,and user needs have gradually increased.Faced with this problem,people have proposed the concept of mobile edge computing,and has gradually developed into 5G(Fifth Generation,5G)One of the key technologies.Edge computing nodes are deployed closer to users,which can solve problems such as excessive delay and excessive aggregated traffic.However,the distributed deployment of edge nodes and the offloading and transmission of computing tasks among multiple nodes are likely to cause an increase in energy consumption.At the same time,long-distance transmission of data tasks in the network is likely to cause large signal leakage and reduce the overall security performance of the network.How to reduce the energy consumption of edge computing networks and improve network security performance on the basis of ensuring user delay and quality of service(Qo S)requirements has become one of the important challenges for edge computing applications.To this end,the thesis first introduces the concept of task division and parallel transmission in the local-edge-cloud collaboration model.The user side divides the tasks according to certain rules,and the divided task blocks are transmitted to multiple nodes for processing at the same time.The parallel transmission of tasks can effectively reduce the network Time delay.Secondly,based on the local-edge-cloud collaborative model of task splitting and parallel transmission,a multi-node collaborative computing offloading method based on minimizing energy consumption is proposed.Support local users to split computing tasks and offload them to multiple edge nodes or cloud nodes in parallel.The offloading method takes the minimization of network energy consumption as the objective function,comprehensively considers the network delay and Qo S requirements,and converts the optimization process into an integer linear programming problem,and uses the branch and bound method to achieve the target optimization.Simulation analysis shows that the multi-node collaborative computing offloading method effectively reduces the network energy consumption compared with the traditional computing offloading method,while ensuring the execution of more tasks.Finally,considering the serious information leakage problem of long-distance transmission of signals between multiple nodes,based on the local-edge-cloud collaborative model,a multi-node collaborative secure transmission scheme is proposed,which is suitable for direct transmission,amplified forwarding and coded forwarding transmission.Way to choose.Taking the overall security capacity of the network as the optimization goal,the 0-1 integer programming algorithm is used to select the transmission mode and path of the task after the user end is divided,and the network energy consumption is comprehensively considered to determine the task allocation.The analysis of the results shows that in the multi-node collaborative secure transmission scheme,users can flexibly choose multiple transmission methods for collaborative processing according to node locations,user needs,etc.,which improves security performance and reduces network energy consumption.