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Resource occupancy data prediction method, electronic device, and storage medium

A technology for resource occupancy and data prediction, applied in the software field, can solve problems such as poor experience effects, and achieve the effects of avoiding resource idleness, providing resource utilization, and ensuring accuracy

Inactive Publication Date: 2018-12-18
ZHANGYUE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in this way, the server is often expanded and adjusted after the problem occurs, that is, the remedial measures are taken after the problem occurs, which has already produced a bad experience for users.

Method used

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  • Resource occupancy data prediction method, electronic device, and storage medium
  • Resource occupancy data prediction method, electronic device, and storage medium
  • Resource occupancy data prediction method, electronic device, and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] figure 1 A flowchart showing a method for predicting resource occupancy data according to Embodiment 1 of the present invention, as shown in figure 1 As shown, the resource occupancy data prediction method specifically includes the following steps:

[0028] Step S101, acquiring index data generated by at least one service operation currently.

[0029] When the service is running, the performance of the service will be measured according to various indicator data generated by its operation. Depending on the health of the service, the resulting metric data will vary. The indicator data can be obtained by monitoring the service operation. For example, when the service is running, in order to ensure the normal operation of the service, daily monitoring of the service operation is carried out, so that the indicator data generated by the service operation can be easily obtained.

[0030] Indicator data includes query rate per second, throughput, concurrency, response time...

Embodiment 2

[0050] image 3 A flowchart showing a method for predicting resource occupancy data according to Embodiment 2 of the present invention, as shown in image 3 As shown, the resource occupancy data prediction method includes the following steps:

[0051] Step S301, acquiring index data generated by at least one service operation currently.

[0052] Step S302, predicting the current index data to obtain the forecast index data corresponding to a specified time point in the future.

[0053] Step S303, inputting the predictive index data into the pre-established resource occupation training model to obtain the predicted resource occupation data required for the operation of at least one service at a corresponding specified time point in the future.

[0054] For the above steps, refer to the description of steps S101-S103 in Embodiment 1, and details are not repeated here.

[0055] Step S304, acquiring resource availability data provided by the server.

[0056] The resource avail...

Embodiment 3

[0065] Embodiment 3 of the present application provides a non-volatile computer storage medium, where at least one executable instruction is stored in the computer storage medium, and the computer executable instruction can execute the method for predicting resource occupation data in any of the above method embodiments.

[0066] Specifically, the executable instruction can be used to make the processor perform the following operations:

[0067] Obtain the indicator data generated by at least one current service operation; predict the current indicator data to obtain the predicted indicator data corresponding to the specified time point in the future; input the predicted indicator data into the pre-established resource occupation training model to obtain the corresponding future specified time point Predicted resource usage data required for at least one service to run.

[0068] In an optional implementation, the executable instructions further cause the processor to perform t...

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Abstract

The invention discloses a method for predicting resource occupancy data, an electronic device and a storage medium. The method comprises the following steps: obtaining index data generated by at leastone service operation at present; forecasting the current index data to obtain the corresponding forecast index data at the specified time point in the future; the forecasting index data being inputinto a pre-established resource occupancy training model to obtain the forecasting resource occupancy data needed for at least one service operation at a corresponding future specified time point. Atleast one predict resource occupancy data required for that operation of a service at a future designate time point is obtained by using the invention, It is convenient to know in advance the possibleresource occupancy situation at the appointed time point in the future, to make a good response to the resource occupancy situation, to adjust the existing resources in time, to avoid the problems such as the service can not run due to the insufficient resources, and to avoid the resource idleness caused by the unreasonable expansion of resources, and to provide the resource utilization ratio.

Description

technical field [0001] The invention relates to the field of software, in particular to a method for predicting resource occupancy data, electronic equipment, and a storage medium. Background technique [0002] With the rapid development of the network, various services operated through the network are also increasing, providing users with more convenience, such as browsing the web, downloading files, online reading and online audio and video, etc. Different services require different server resources . However, considering that the resources of the server are limited, when the resources required by the service exceed the resources that the server itself can provide, it will cause problems such as server downtime and service operation failure, which will affect the user experience. [0003] In the existing technology, when the service needs to occupy a large amount of resources, the server will be expanded and adjusted. For example, when the number of users using the servic...

Claims

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Application Information

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IPC IPC(8): G06F11/34G06F9/50
CPCG06F11/3447G06F9/5027G06F11/3433
Inventor 韩竺邹德顺
Owner ZHANGYUE TECH CO LTD
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