Resource optimization method in mobile edge computing task unloading and electronic equipment

Abstract

The invention discloses a resource optimization method in mobile edge computing task unloading and electronic equipment. The method comprises the following steps: constructing a queue stability indextaking minimization of the task queue length of a user terminal and the task queue length of an edge server as a target; constructing a network resource overhead index; constructing a random network resource optimization model by taking the queue stability index as a constraint condition; introducing a Lagrange multiplier to carry out variable relaxation on constraint conditions of the random network resource optimization model, and constructing a coupling model; and solving the coupling model based on a momentum stochastic gradient descent algorithm to obtain an optimal resource allocation decision of each time slot. According to the method, the coupling model of the random network resource optimization model is constructed based on the original coupling theory, the coupling problem is solved online based on the momentum stochastic gradient descent algorithm, and task queue overstock is reduced while algorithm convergence is accelerated. The task queue backlog can be further reduced under the condition that the network resource overhead is not increased.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, and in particular to a resource optimization method and electronic equipment in mobile edge computing task offloading. Background technique [0002] In recent years, with the emergence of emerging computing-intensive and delay-sensitive applications such as big data, artificial intelligence, Internet of Things, and augmented reality / virtual reality, the traditional task computing and application service models based on mobile cloud computing are facing challenges. facing serious challenges. Traditional mobile cloud computing services usually rely on cloud computing centers that are far away from users. With the explosive growth of traffic, this service model will inevitably lead to serious network congestion and data round-trip delay. In order to make up for the lack of service capabilities of the cloud computing center, it is necessary to sink the service capabilities of ...

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Problems solved by technology

[0005] In view of the above-mentioned deficiencies in the prior art, the purpose of the present invention is to provide a resource optimization method and electronic equipment in task offloading of mobile edge computing, so as to solve the problems of large resource overhead, extended service time and serious backlog of task queues in existing mobile edge computing. The problem

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