Method and system for elastically scheduling resources

Abstract

The invention discloses a method and a system for elastically scheduling resources. The method comprises the following steps: acquiring target data, and performing data analysis on the target data toobtain a functional index for representing a service running condition; obtaining a service demand according to the functional index; and acquiring an alarm event and an elastic scheduling strategy, and performing elastic expansion and reduction adjustment conforming to the service demand on container resources in a data center resource pool according to the alarm event and the elastic schedulingstrategy.

Description

technical field [0001] The present invention relates to scheduling technology, in particular to a method and system for elastically scheduling resources. Background technique [0002] With the rapid development of cloud computing technology, the data center has integrated various resources, and at the same time introduced the concept of Data Center Operating System (DCOS, Data Center Operating System). Resource scheduling in the data center plays a very important role in the normal operation of the business. key role. For some applications used in users' lives, the infrastructure resources required behind them are provided and supported by the data center. Due to the needs of business expansion, hot activities will be launched frequently, causing the application to face high concurrency, burst traffic or high traffic. If the resource expansion method of the traditional data center is inefficient, it usually takes weeks for integration and deployment, which cannot respond t...

AI Technical Summary

Problems solved by technology

[0005] 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, making the business of each system unable to run stably

[0006] 2) The elasticity of the system is insufficient. The application deployment of the system is constructed in units of virtual machines. The expansion process is complicated, and the expansion speed is at the level of minutes or even hours.

When the business volume suddenly increases, rapid expansion cannot be performed, resulting in business failure; system shrinkage cannot be carried out at will, and resources are reserved and wasted to a certain extent

[0007] The shortcomings of the above-mentioned existing technologies will cause resource scheduling failures in the data center, which will affect the operating status of the entire system or business, which is unacceptable for the core system or business

However, in the related art, there is no effective solution to the above-mentioned shortcomings

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