Device detection and fault early warning system and method in cloud computing environment

Abstract

The invention discloses a device detection and early fault warning system and method in a cloud computing environment. The system comprises a real-time monitoring module, a monitoring information presentation module, an early fault warning module and a warning module. The method comprises the following steps that firstly, real-time monitoring is conducted, wherein real-time information collection is conducted, and the real-time information is aggregated and presented; secondly, early fault warning analysis is conducted, wherein the collected information is subjected to early fault warning analysis; thirdly, a warning mechanism is triggered, wherein early warning information is classified. The device detection and early fault warning system and method can support protocols, autonomously and controllably select detecting indexes, adapt to different monitoring modes, customizing warning triggering conditions, extending the number of monitoring devices on a large scale and the like according to the types and the number of devices in a cloud computing data center, collection, monitoring, warning and fault positioning can be intensively conducted in a unified system, and the operation and maintenance efficiency is effectively improved.

Description

technical field [0001] The invention relates to a device detection and fault early warning system and method in a cloud computing environment, belonging to the technical field of power system cloud data processing. Background technique [0002] With the rapid development of cloud computing, the informatization of the energy industry is gradually shifting from traditional IT to the era of cloud computing. In traditional IT data centers, the detection and fault warning of various IT infrastructures are all independent. Different manufacturers can only monitor their own products, but cannot quickly, uniformly and effectively detect the entire infrastructure layer. In the cloud computing data center, all infrastructure resources are provided to end users in the form of services, that is, IaaS (Infrastructure as a Service, infrastructure as a service), and users can easily obtain the required computing, storage, and network resources. But for operation and maintenance personnel,...

AI Technical Summary

Problems solved by technology

[0003] At present, the mainstream IT equipment in the market is general-purpose, but also dedicated, mainly divided into server, storage, network, security, and infrastructure. There are special equipment detection and fault warning systems in their respective fields. However, there is no unified platform compatible with different types of devices, resulting in the following problems:

[0004] (1) Isolated island of monitoring information, low operation and maintenance efficiency

In a cloud computing environment, traditional monitoring and alarming are scattered on different platforms, and administrators need to switch O&M between multiple platforms at the same time. When a sudden failure occurs, it is necessary to manually follow the physical topology link by link Emergency investigation cannot be guaranteed in terms of timeliness and accuracy, which has a great impact on timely fault location and early warning

[0005] (2) It cannot be compatible with various detection mechanisms at the same time, and the monitoring is not comprehensive

The existing monitoring platform can support a limited number of online devices, and it is difficult to meet the real-time requirements when there are more than 1,000 devices. It can only be realized by adding a new platform, which greatly increases the cost of operation and maintenance.

[0007] To sum up, the existing technology is unable to perform effective unified detection and fast fault location on heterogeneous hardware devices under the cloud platform, resulting in low operation and maintenance efficiency.

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