Pricing-based edge computing resource allocation method and system

Abstract

The invention discloses a pricing-based edge computing resource allocation method, including the following steps: a base station collects computing capability parameters of user equipment, defines a price set according to the parameters, and publishes an optimal price to a user according to a descending order of elements in the price set; the user searches for an optimal uploaded computing amountaccording to the price to minimize a cost function; the base station determines whether the computing amount exceeds the upper limit of the computing capacity of an edge computing server according tothe uploaded computing amount, and calculates the revenue generated by the current price if the upper limit of the computing capacity is not exceeded; and the base station obtains the optimal price through linear search to maximize the revenue of the base station. According to the scheme of the invention, computing tasks are allocated to the base station and a local processor, the computing delaycan be reduced, an information interaction process is modeled and solved through the Stackelberg game, the optimal uploaded amount of the user and the optimal price of the base station can be obtained, the cost function of the user can be minimized, and the revenue of the base station can be maximized.

Description

technical field [0001] The present invention relates to the technical field of edge computing, in particular to a pricing-based edge computing resource allocation method and system. Background technique [0002] With the rapid development of the Internet of Things, the number and types of mobile applications continue to increase, and future wireless networks need to achieve extremely short-latency communication and fast computing to enhance user experience. However, IoT devices are usually characterized by small size and low battery capacity, so for real-time data processing, these devices often face challenges such as intensive computing and high resource consumption. In order to solve the above contradictions, edge computing has begun to develop. Edge computing is a recently emerging technology. Unlike traditional cloud computing, traditional cloud computing servers are usually located in relatively remote locations, with large delays and poor wireless communication chann...

AI Technical Summary

Problems solved by technology

However, the edge computing server is at the edge of the network, so the number and volume of the edge computing server are very strictly limited, and its computing capacity should be limited, especially when the computing load of the network is relatively large.

From this perspective, the existing edge computing solutions are obviously irrational

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