A traceability system and method for refined management of cloud resources

Abstract

The invention discloses a traceability system for refined management of cloud resources, which includes a cloud platform, cloud resources, hardware equipment and underlying information management components, wherein the underlying information management components are used to collect hardware device information; the underlying information management components It is used to analyze the collected hardware device information and store the association relationship between the hardware device information; the underlying information management component is used to provide external interfaces for managing hardware device information, manage interfaces for hardware devices to be collected, and query virtual resource-related hardware An interface for device information; the cloud platform is used to call the underlying information management component interface to query and display associated hardware device information when displaying cloud resources. The present invention also provides a corresponding traceability method for refined management of cloud resources. Based on the traditional cloud computing platform architecture, the present invention breaks through the connection between the upper layer cloud resources and the lower layer hardware devices, and realizes the rapid traceability of the cloud resources.

Description

A traceability system and method for refined management of cloud resources technical field The invention belongs to the field of cloud computing, and more specifically, relates to a cloud resource refined management traceability system and method. Background technique During the more than 10 years from the conception of cloud computing to today, it has achieved rapid development, and has also brought earth-shaking changes. The way society works and business models are changing dramatically. The beauty of cloud computing lies in its high flexibility High performance, scalability and cost-effectiveness, etc., all benefit from its implementation architecture and design concept. As shown in Figure 1, cloud computing is based on emerging computing, storage, and network virtualization technologies, and a A set of flexible and complete automatic scheduling management system, covering user interface, service catalog, management system, deployment tools, cloud resources ...

AI Technical Summary

Problems solved by technology

[0004] However, the underlying technical complexity and hardware differences have not actually disappeared, but are temporarily covered by the light of the upper layer. With the large-scale application of cloud computing and the further increase in the complexity of coverage scenarios, more and more cloud products Entered a relatively stable service provision period, at this time the problems caused by the rapid development in the early stage gradually began to appear

[0005] In actual application scenarios, a cloud platform often needs to be connected to many server devices, storage devices, and network devices with different specifications and configurations from different manufacturers, and there are large or small functions and performances among these various devices. However, due to being shielded by the virtualization layer, the existing cloud platform technology is not aware of the underlying hardware status

This leads to functional or performance problems at the application layer. It is often necessary to go through multiple component layers to check down to find a device problem at the bottom. In the actual production site, you must also face cross-department, cross-product, cross- Supplier coordination and communication problems, the processing cycle is uncontrollable

Once faced with the scenario of temporary downtime for maintenance or replacement of some hardware, it is impossible to quickly clarify the scope and extent of the business affected, and it is impossible to meet the needs of fine operation and maintenance management and rapid traceability of abstract resources in large-scale application scenarios.

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