Edge cloud operation maintenance system and method thereof

Abstract

The invention provides an edge cloud operation and maintenance system, which comprises an edge cloud and a center cloud, the edge cloud comprises an operation and maintenance service center, a computing node and a virtual machine, and the operation and maintenance service center comprises a first diagnosis and treatment library; the operation and maintenance service center is used for acquiring data of the computing node and the virtual machine, performing fault analysis on the data and judging whether a repair scheme corresponding to a fault is in a first diagnosis and treatment library or not; the center cloud comprises a second diagnosis and treatment library; after the center cloud receives the fault uploaded by the edge cloud, a matching feature corresponding to the fault is searchedin the second diagnosis and treatment library, and the repair scheme corresponding to the matching feature is synchronized to the first diagnosis and treatment library. The invention further disclosesan operation and maintenance method of the edge cloud, the operation and maintenance processing method that the edge cloud can automatically process daily faults and automatically accumulate more comprehensively is achieved, frequent upgrading is not needed, guarantee is provided for continuous operation, the manual operation and maintenance cost is reduced, and meanwhile the working efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of edge cloud maintenance, and in particular relates to an edge cloud operation and maintenance system and a method thereof. Background technique [0002] Edge cloud is a platform that deploys cloud computing capabilities at the edge of the network or near user access points, and is an important part of edge computing. Edge computing is relative to central cloud computing. It is different from traditional cloud computing centralized thinking. Its main computing nodes and applications are distributed and deployed on data centers or physical devices that see terminal devices. Data does not need to be transmitted to the cloud for processing. , Real-time data analysis and intelligent processing can be completed on the edge, making the response performance and reliability of the service higher than that of centralized cloud computing. Generally speaking, edge computing has the characteristics of low latency, hig...

AI Technical Summary

Problems solved by technology

Due to the characteristics of the edge cloud, first of all, it is a large-scale feature. Each edge site needs to install and deploy the edge cloud platform, which requires a lot of repeated manpower and material resources to meet this demand; secondly, it is unattended, and the edge cloud platform needs to be updated or installed. When patching, the current traditional mode requires manual remote login to the site server for updates, which cannot meet the needs of batch operations and automation in some scenarios

On some platforms, the deployment process includes steps such as role planning, operating system installation, platform installation, platform configuration, and functional testing. The platform installation and configuration work takes a long time, and the dependencies between components are relatively complicated. The overall installation may require Weeks or months, and the deployment process cannot be copied and applied to other platforms in batches

However, for fast-changing edge environments, such as telecommunications companies or industries, what they need is a platform that can quickly launch innovative services, and any inefficient operation will cause immeasurable losses to the company

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