Container-based industrial Internet of Things edge computing resource allocation method and system

Abstract

The invention discloses a container-based industrial Internet of Things edge computing resource allocation method and system, and the method comprises the steps: dividing tasks into n types accordingto data types collected by a sensing layer, and obtaining a probability relationship that the tasks arrive at an edge server cluster in sequence through historical data statistics; allocating computing resources to the real-time tasks according to the system state space and the decision space, and performing sequence decision; according to a resource allocation algorithm based on reinforcement learning, the system selects the most reasonable strategy from the low resource allocation strategy, the middle resource allocation strategy and the high resource allocation strategy to allocate resources to the current task according to the current state; and constructing a task scheduling processing model, creating a container, scheduling the data to the container for processing and analysis, and deleting the container after the task is completed to complete distribution. Under the condition that resources are limited, different types of data computing resources are distributed, the container is created for processing and analysis, and the resource use efficiency and the total task processing rate are improved. The method is suitable for the field of industrial Internet of Things data processing.

Description

technical field [0001] The present invention relates to the field of industrial IoT edge computing, and more specifically, to a container-based industrial IoT edge computing resource allocation method and system. 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 is a problem of network delay or interruption. 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 are physically located close...

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

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