Resource optimization method and electronic equipment in task offloading of mobile edge computing

Abstract

The invention discloses a resource optimization method and electronic equipment in mobile edge computing task offloading. The method includes: constructing a queue stability index aiming at minimizing the length of the user terminal task queue and the edge server task queue length; constructing network resource overhead Index; use the queue stability index as a constraint to construct a random network resource optimization model; introduce Lagrangian multipliers to relax the constraints of the stochastic network resource optimization model to build a coupled model; solve it based on the momentum stochastic gradient descent algorithm By coupling the model, the optimal resource allocation decision for each time slot is obtained. The invention constructs a dual model of a random network resource optimization model based on the original-dual coupling theory, and solves the dual problem online based on the momentum stochastic gradient descent algorithm, accelerates the convergence of the algorithm and reduces the backlog of task queues, compared with the existing resource optimization method , can further reduce the task queue backlog without increasing network resource overhead.

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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