Microcloud computing resource allocation method based on pricing mechanism in edge computing environment

Abstract

The invention discloses a microcloud computing resource allocation method based on a pricing mechanism in an edge computing environment. The concept of a central controller is introduced, idle resources of cooperation microcloud are coordinated and utilized, the goal of reducing transmission delay and energy consumption is realized, the relationship between the microcloud and the central controller is modeled as a double-phase Stackelberg game, each cooperation microcloud determines the computing resource quantity required in the deployment phase, and the central controller coordinates the resource sharing between microcloud in the operation phase, so that the resource utilization rate of an edge computing system based on microcloud is increased, and the cost of a network service provideris reduced to the utmost extent when the user service quality is maintained.

Description

technical field [0001] The invention relates to a micro-cloud computing resource allocation method based on a pricing mechanism in an edge computing environment, and belongs to the field of edge computing. Background technique [0002] In recent years, with the rapid development of the Internet of Things and 5G technologies, various mobile applications are also experiencing explosive development, such as augmented reality, online games and live video broadcasting, etc. However, due to limitations in battery, storage capacity, and computing power, mobile devices have difficulty meeting the latency, computation, and reliability requirements of these applications. In order to solve this problem, mobile cloud computing has emerged, which allows mobile devices to migrate part or all of their local computing tasks to the resource-rich cloud for execution. By performing tasks in the cloud, mobile cloud computing solves the resource shortage problem of mobile devices and saves ener...

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Problems solved by technology

[0006] Through the application of the above resource management and pricing methods, it can be found that the above research does not take into account the resource management between micro-clouds in the edge computing environment. The low resource utilization of edge computing systems based on micro-clouds not only affects The QoS of the end user is also affected, and the revenue of the service provider is also affected. Therefore, the present invention proposes a computing resource allocation method for the micro cloud

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