Management method and system for super-converged server of whole cabinet

Abstract

The invention provides a management method and a management system for a whole cabinet super-converged server. The management method comprises the steps that a communication control module obtains resources, performance index parameters and operation environment parameters of node devices in a whole cabinet super-converged server BMC and BIOS firmware and a network device NMS in real time; acquiring and storing the resources, the performance index parameters and the operating environment parameters of each node device obtained in the parameter collection step at one time during startup; performance index parameters and operation environment parameters of each node device are integrated, the overall energy consumption and temperature change trend is predicted, and a prediction result is returned to the communication control module; the parameters are displayed in real time, and manually input target operation parameters for controlling the power supply system and the cooling system areobtained. The intelligence of the power supply and cooling system of the whole cabinet super-fusion server is realized, the efficiency of the power supply and cooling system of the whole cabinet is effectively improved, and the normal operation of each node is ensured in the aspects of power supply and environment temperature.

Description

technical field [0001] The present invention relates to the technical field of data processing, and in particular, to a management method and system for an entire cabinet hyper-converged server. Background technique [0002] With the advancement of science and technology, human society is entering an era of digital information explosion. The popularity of big data and the Internet has brought new growth points to the development of traditional industries. All walks of life have begun to transform to informationization, and the total amount of data is growing exponentially. In the face of the data explosion caused by the exponential growth of the data center, the space and resource consumption of the data center has gradually become a technical bottleneck affecting the Internet infrastructure and big data processing capabilities. Computing and storage infrastructure with features such as low energy consumption, high PUE, space saving and high density has become an inevitable...

AI Technical Summary

Problems solved by technology

Facing the hyper-converged server of the whole cabinet, the above two types of management software have technical problems, and cannot comprehensively manage various functional elements of the hyper-converged server, and cannot maximize the high performance and high density of the hyper-converged server of the whole cabinet. Advantages and development, extensible features

For example, all current system management software cannot coordinate and manage the heat emission rate per unit space of all devices on the hyper-converged server in the entire rack, and thus cannot provide the correct input for the cooling system of the server in the entire rack to adjust the cooling effect of the cooling system

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