Dynamic task allocation method and system for mobile edge computing server

Abstract

The invention discloses a dynamic task allocation method and system for a mobile edge computing server, and the method comprises the steps: obtaining the information of one or more tasks generated bya terminal in an area in a certain time period, and the information comprises the data size of the tasks and the time delay requirement information of the tasks; judging whether the task can be processed in the local server or not according to the processing speed and / or the processing energy consumption and / or the congestion condition of the local server in the area; and if the task cannot be processed in the local server, selecting a proper edge server for the task to process according to the distance between each edge server and the terminal where the task is located and / or the congestion condition of each edge server and / or the processing capacity of each edge server. According to the invention, the problem of how to dynamically allocate the task to the appropriate server according tothe matching condition of the local server and the terminal task and the matching condition of the edge server and the terminal task is solved.

Description

technical field [0001] The invention belongs to the technical field of mobile edge computing, and in particular relates to a method and system for dynamically assigning tasks to a mobile edge computing server. Background technique [0002] With the application scenarios of 5G technology, such as augmented reality, virtual reality, industrial Internet of Things, telemedicine, etc., the data traffic is large and usually has high requirements for quality of service (QoS). For this reason, a mobile edge computing system is proposed. In the mobile edge computing system, the tasks generated by the terminal application program can choose to run locally, or offload the tasks to the edge server through wireless transmission. How to offload tasks and allocate resources is one of the most important issues in mobile edge computing. Current related technologies, such as the Chinese patent "A Priority-Based Hierarchical Edge Computing Offloading Method" with publication number CN11195423...

AI Technical Summary

Problems solved by technology

However, none of the above solutions can reasonably select a server for processing according to the matching between the server and the terminal task.

At present, there is no technical solution for dynamically assigning tasks to appropriate servers according to the matching between local servers and terminal tasks and the matching between edge servers and terminal tasks. Therefore, a method and system for dynamically assigning tasks to mobile edge computing servers is proposed.

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