Wireless resource and cloud resource combined distribution method in MEC

Abstract

The invention discloses a wireless resource and cloud resource combined distribution method in an MEC. The method comprises that (1) a terminal in the MEC initiates a task uninstalling request, and a task uninstalling cost function of the terminal is established; (2) different access points in the heterogeneous network obtains the task uninstalling cost functions of different terminals in a coverage area, and sends the task uninstalling requests of the terminals and channel information of the network to cloudlets; (3) the cloudlets distribute wireless and cloud resources in a combined manner on the basis of a cooperative game, obtains a Nash equilibrium solution via KKT conditions, and sends the Nash equilibrium solution to the terminals; (4) each terminal requests the cloudlets and the access points for computing and wireless resources according to the Nash equilibrium solution; and (5) the cloudlets and the access points distribute the computing and wireless resources according to the request of the terminal. On the basis of the cooperative game, limited computing resources in the cloudlets are utilized fully, the instantaneity of the tasks of the terminals is ensured while minimizing task uninstalling cost of all the terminals is taken as the objective, and the task uninstalling requirements of the different mobile terminals are met.

Description

technical field [0001] The invention relates to cloud computing technology, in particular to a joint allocation method of wireless resources and cloud resources in MEC. Background technique [0002] In recent years, cloud computing has become a recognized next-generation computing infrastructure in academia and industry. Compared with traditional IT infrastructure, it can provide many features such as scalability, agility, economic efficiency, etc. At the same time, with the rapid deployment of wireless broadband networks and the increasing popularity of smart mobile devices, more and more terminals use Internet services. However, with the continuous improvement of terminal application requirements and computing power requirements, smart mobile devices cannot meet the constraints due to size and energy. Therefore, the Mobile Edge Computing system (MEC, Mobile Edge Computing) integrates Cloudlet into the mobile environment, which facilitates terminals to offload application...

AI Technical Summary

Problems solved by technology

However, with the continuous improvement of terminal application requirements and computing power requirements, smart mobile devices cannot meet the requirements due to size, energy and other limitations.

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