Method and device for adjusting server resources

Abstract

The embodiment of the invention provides a method and a device for adjusting server resources. The server comprises a first host and a second host. The method comprises the steps of collecting resource usage amount information of the first host and resource usage amount information of the second host according to preset sampling frequency; computing a first feature value according to the collected resource usage amount information of the first host and computing a second feature value according to the resource usage amount information of the second host according to preset adjusting frequency; comparing the first feature value with a preset first host resource usage amount threshold to acquire a first comparison result, and comparing the second feature value with a preset second host resource usage amount threshold to acquire a second comparison result; and adjusting resource allocation of the first host and / or the second host according to the first comparison result and / or second comparison result. According to method and the device provided by the invention, online resource adjustment can be completely self-adaptively performed, the method and the device can be fully adapt to various business scenes, and optimal configuration of the resources is achieved.

Description

technical field [0001] The present application relates to the technical field of server data processing, and in particular to a server resource adjustment method and a server resource adjustment device. Background technique [0002] As a new Internet-based computing method, cloud computing has been widely used in various fields. In this way, shared hardware and software resources and information can be provided to computers and other devices on demand. Typical cloud computing providers often provide general-purpose network business applications, which can be accessed through software such as browsers or other Web services, while software and data are stored on servers. How to control the service quality and cost of cloud computing is an increasingly important issue, and the most important control method is to determine the resource ratio of different hosts of the server, that is, the problem of server resource allocation. [0003] Existing technologies often perform static...

AI Technical Summary

Problems solved by technology

Obviously, manual adjustment of the configuration scheme cannot be adjusted in a timely manner in response to online load changes; moreover, the granularity of manual adjustment is often based on the cluster, and the cost is unacceptable if the adjustment is performed on the basis of independent hosts. ; most importantly, the risk of online manual operation is very high, and this will inevitably bring about problems in authority management

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