An Adaptive Container Migration Method in Fog Computing Environment

Abstract

The present invention proposes an adaptive container migration method in a fog computing environment, which includes the following steps: establishing a container-based fog computing framework, the container is located on the fog node, the mobile application is located on the user, and the user's task is executed in the container; Modeling the target of container migration in the fog computing scenario, the migration target includes delay, power consumption and migration overhead; setting the state space and action space, defining the reward function and setting the Q iteration function; through the deep neural network Dimensionality reduction of the state space; through the optimization of action selection, the dimensionality reduction of the action space is realized. Finally, a prototype of a container adaptive migration system was implemented and the entire process was verified. The adaptive container migration method in the fog computing environment proposed by the present invention can better plan the resources in the fog computing, reduce the time delay between the user and the fog nodes, and reduce the energy consumption of the fog nodes.

Description

technical field [0001] The invention belongs to the field of fog computing in computer networks, and relates to methods such as fog computing, mobile edge computing, reinforcement learning, and deep reinforcement learning, and in particular to an adaptive container migration method in a fog computing environment. Background technique [0002] Fog computing is emerging as a promising computing paradigm in recent years, providing a flexible architecture to support distributed region-specific, domain-specific applications with cloud computing-like quality of service. Fog computing deploys massive lightweight computing and storage infrastructures (called fog nodes) near mobile users. In this way, the mobile application can be distributed to the appropriate fog node to shorten the user's access delay to the application. In addition, fog nodes are flexible and scalable, and can support the mobility of mobile users. [0003] There are few existing techniques for container migrati...

AI Technical Summary

Problems solved by technology

[0005] Directly migrating the method of virtual machine management in the data center to the fog computing environment will bring a series of problems, including the disaster of dimensionality caused by high-dimensional state space and action space, and mobile users are not considered in the modeling process. Mobility problems, resulting in delay problems in mobile scenarios cannot be well resolved

[0006] However, the existing task scheduling methods for fog computing only consider the situation of a single user when establishing the state space, and do not consider the actual multi-user situation.

And it is assumed that the transition probability between states is fixed, but the transition probability between states is unknown in the actual situation

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