A joint allocation method of wireless resources and cloud resources in MEC

A wireless resource and joint allocation technology, applied in the field of cloud computing, can solve problems such as the size and energy of smart mobile devices, and achieve the effect of minimizing the cost of task offloading and ensuring real-time performance
CN107249218BActive Publication Date: 2020-08-25SOUTHEAST UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SOUTHEAST UNIV
Publication Date
2020-08-25

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Abstract

The invention discloses a joint allocation method of wireless resources and cloud resources in MEC, including: (1) a terminal in MEC initiates a task offloading request, and establishes a task offloading cost function of the terminal; (2) each interface of a heterogeneous network The entry point obtains the task offloading cost function of each terminal in the coverage area, and sends the task offloading request of the terminal and the channel information of the network to Duoyun; (3) Duoyun performs joint allocation of wireless resources and cloud resources based on the cooperative game, using the KKT condition Get the Nash equilibrium solution, and send the game Nash equilibrium solution to the terminal; (4) The terminal requests computing resources and wireless resources from the cloud and the access point according to the Nash equilibrium solution; (5) The cloud and the access point request Allocate computing and wireless resources. Based on the cooperative game, the present invention makes full use of the limited computing resources in Duoyun, and aims at minimizing the offloading cost of all terminal tasks, while ensuring the real-time performance of each terminal task and meeting the task offloading requirements of each mobile terminal.
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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...

Claims

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