Container-based edge computing resource allocation method and system for industrial internet of things

Abstract

The invention discloses a container-based edge computing resource allocation method and system for the Industrial Internet of Things. The method is as follows: according to the data types collected by the perception layer, the tasks are divided into n types, and through historical data statistics, it is obtained that the tasks arrive at the edge successively Probability relationship on the server cluster; according to the system state space and decision space, allocate computing resources to real-time tasks and make sequential decisions; according to the resource allocation algorithm based on reinforcement learning, the system allocates resources from low, medium and high according to the current state Select the most reasonable strategy among the strategies to allocate resources to the current task; build a task scheduling processing model, create a container, and then schedule data to the container for processing and analysis. After the task is completed, delete the container to complete the allocation. In the case of limited resources, the present invention allocates different types of data computing resources, creates containers for processing and analysis, and improves resource utilization efficiency and the total rate of task processing. The invention is applicable to the field of data processing of the industrial internet of things.

Description

technical field [0001] The present invention relates to the field of industrial Internet of Things edge computing, and more specifically, to a container-based resource allocation method and system for Industrial Internet of Things edge computing. Background technique [0002] At present, the data processing and analysis of the Industrial Internet of Things mainly rely on cloud computing technology, such as the Industrial Internet of Things cloud platform, but there are still some problems in actual operation. For example, when data is transmitted to a remote cloud for processing and analysis, there may be network delays or interruptions. At the same time, both computing and storage are in the cloud, and privacy and security cannot be guaranteed. In this context, the edge computing of the Industrial Internet of Things came into being. Edge computing refers to the processing and analysis of data at the edge nodes of the network. It is a method in which computing and storage a...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem of poor allocation of edge resources of the Industrial Internet of Things and failure to consider other edge computing nodes, resulting in uneven resource allocation and low utilization, the present invention provides a container-based method and system for edge computing resource allocation of the Industrial Internet of Things , which can calculate each resource configuration according to different types of data and the current system state, and create corresponding containers to provide services, so that the resource allocation strategy is optimal and the total completion time is the least

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