Method for optimizing VM migration between MEC nodes in ultra-dense network

Abstract

The invention belongs to the technical field of wireless communication, and particularly relates to a method for optimizing VM migration between mobile edge computing (MEC) nodes in an ultra-dense network. The applied ultra-dense network includes gateway nodes, aggregation nodes and edge nodes. The method includes the following steps: when a VM of the MEC nodes needs to be migrated, firstly calculating initialization characteristics, and calculating the energy consumption generated by the interaction with the VM when a user moves in the same gateway node range according to the predicted migration time of the user, wherein the energy consumption includes the energy consumption Wmig generated by transmitting data to a destination node, the energy consumption Wpre generated by transmitting the data to a source node, and the energy consumption Wafter generated by performing connection with the VM to carry out data transmission in three categories of node coverage areas when the location ofthe user changes; secondly, establishing an optimal return model; and finally, solving the optimal return model to select an optimal VM migration strategy. According to the method disclosed by the invention, a flexible migration function of the VM in a special scene can be realized, the energy consumption of the system can be effectively reduced, and the migration efficiency can be improved; andreasonable resource matching can be achieved, and service requirements of the user can be met.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a VM (virtual machine) migration optimization method between mobile edge computing (Mobile Edge Computing, MEC) nodes in an ultra-dense network (ultra-densenetwork, UDN). Background technique [0002] In recent years, the demand for wireless services has grown rapidly. According to industry forecasts, the demand for wireless services will increase by a thousand times in the near future. The existing access network service equipment is difficult to meet the growing high-speed demand. Heterogeneous cellular (smallcell) The intensive deployment of the network has become the most critical solution to this problem. At the same time, in order to adapt to the flexibility of dense cells and reduce costs, wireless transmission solutions have become an important choice for cells to connect to the core network through gateway nodes. In addition, wireless backhaul...

AI Technical Summary

Problems solved by technology

[0007] In an ultra-dense network scenario, access nodes are densely deployed, edge computing servers are getting closer to users, and their service range is also becoming smaller. As users move, virtual machines on edge servers need to be migrated to appropriate nodes to To ensure user service efficiency and energy consumption in the network, the existing VM migratio

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