Method and device for automatically monitoring server status and adaptively adjusting service

Abstract

The invention discloses a method and a device for automatically monitoring a server state and self-adaptively adjusting services. The method includes the following steps: determining a variety of service levels of services in advance; utilizing at least one probe to monitor the server state in order to obtain at least one probe value, and combining the probe values in order to calculate a current service load value of a server; according to the current service load value, determining a service level which needs to be adopted by the server currently; and adjusting the service operation of the server according to the determined service level. By utilizing the method and the device provided by the invention, the current service load of the server can be automatically judged without manual intervention; when the number of requests for the services suddenly explodes, the service levels can be self-adaptively adjusted to reduce service load, so that the normal operation of the services is guaranteed; after the number of requests for the services becomes normal, the service levels can be self-adaptively adjusted to automatically recover the normal services.

Description

technical field [0001] The invention relates to Internet service management, more specifically, to a method and device for automatically monitoring server status and adaptively adjusting service. Background technique [0002] In today's era of explosive growth of information, more and more users obtain information through the Internet. However, Internet network services usually have unstable traffic. For example, the number of visitors to the Internet will increase significantly on weekends and holidays, and the number of visitors will also increase significantly in the event of an emergency. Operation) the request volume soars (for example, the request volume to the server that provides the service soars rapidly), the soaring request volume makes the response speed of the service slow down or even the service cannot get a response. When users face this situation, they often retry continuously on the client side (for example, when users see that the webpage does not respon...

AI Technical Summary

Problems solved by technology

However, the cost of adding servers is relatively high. In addition, if the number of service requests does not increase normally but suddenly increases, the added servers can only be idle when they are not busy, resulting in waste of resources.

The way to close some services is actually to reduce the request volume of the server by means of hard closing, resulting in abandoning the needs of some users, making the experience of these users very bad

In addition, these two existing methods require manual participation, and human maintenance is not only costly, but also requires high operator experience

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