A data center resource intelligent flexible scheduling system and method

Abstract

The invention relates to a system and method for intelligently and flexibly scheduling data center resources. The system comprises an operation and maintenance monitoring module, a data analysis module, a flexible scheduling module and a strategy maintenance module, wherein the operation and maintenance monitoring module is used for collecting performance and log data and generating a corresponding alarm event according to the category and operation condition of an application program; the data analysis module is used for obtaining the alarm event, judging whether to carry out flexible scaling according to a preset flexible scheduling strategy, and if so, sending a first flexible scaling instruction to the flexible scheduling module; and the flexible scheduling module is used for responding to the first flexible scaling instruction to judge whether a data center resource pool satisfies flexible scaling requirements, if so, sending a second flexible scaling instruction to the data center resource pool and recording a flexible scaling event of the data center resource pool. Compared with the prior art, the system provided by the invention can carry out flexible expansion and contraction according to service demands, thereby improving the stability of a data center.

Description

technical field [0001] The present invention relates to the field of data resources, in particular to an intelligent flexible scheduling system and method for data center resources. Background technique [0002] With the rapid development of cloud computing technology, data centers have integrated various resources, and at the same time, various businesses have higher and higher demands on data center resources. The data center's accurate response to business resource requirements plays a key role in the normal operation of the business. Some of the app applications and web applications we use in our lives, the infrastructure resources behind them are provided and supported by the data center. Due to the needs of business expansion, hot activities will be launched frequently, resulting in high concurrency, burst traffic or high traffic for applications. It is basically not feasible to use the traditional resource scheduling method in the data center. In the case of high co...

AI Technical Summary

Problems solved by technology

[0006] 1) The resources in the data center are diverse. When analyzing the operation status of the business, there are insufficient considerations and the resource requirements cannot be accurately located.

Any shortage of business resources in the data center will affect the robustness of its business and make the business of each system unable to run stably;

[0007] 2) The elasticity of the system is insufficient, and the system does not have the capability of parallel expansion to cope with sudden business peaks, resulting in business failures

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