CN112328462A - Server health state evaluation-based server capacity expansion method and system - Google Patents
Server health state evaluation-based server capacity expansion method and system Download PDFInfo
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Abstract
The invention provides a server capacity expansion method and system based on server health state evaluation, which are applied to a central server; the method comprises the following steps: acquiring hardware data of a target server at a plurality of historical moments before the current moment; the hardware data includes at least one of: CPU utilization rate, memory utilization rate, bandwidth and hard disk data; the target server is a server connected with the central server; calculating the average change rate of each hardware data based on a plurality of historical moments based on the hardware data of the plurality of historical moments; determining a weight coefficient of each hardware data based on a preset weight distribution strategy; determining an evaluation score of the target server based on the weight coefficient of each hardware data and the average change rate of each hardware data; and judging whether to perform capacity expansion operation on the target server or not based on the evaluation score. The invention alleviates the technical problem of inaccurate decision caused by human intervention in the prior art.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a server capacity expansion method and system based on server health state evaluation.
Background
In the prior art, a decision for determining whether a server is expanded (i.e., whether one or more servers are newly started) mainly includes the following two methods: one is to collect the utilization rate of the hardware resources of the server, and people decide whether to expand the capacity of the server according to experience; the other is to judge that the server has no heartbeat, which may be a hardware fault or a software fault caused downtime, and autonomously decide to expand capacity and cannot decide to contract capacity. In the above prior art, the decision for determining whether the server expands capacity cannot be made autonomously due to human intervention, so that the risk of inaccurate decision exists.
Disclosure of Invention
In view of the above, the present invention provides a server capacity expansion method and system based on server health status evaluation, so as to alleviate the technical problem in the prior art that decisions are inaccurate due to human intervention.
In a first aspect, an embodiment of the present invention provides a server capacity expansion method based on server health status evaluation, which is applied to a central server; the method comprises the following steps: acquiring hardware data of a target server at a plurality of historical moments before the current moment; the hardware data includes at least one of: CPU utilization rate, memory utilization rate, bandwidth and hard disk data; the target server is a server connected with the central server; calculating an average change rate of each hardware data based on the plurality of historical moments based on the hardware data of the plurality of historical moments; determining a weight coefficient of each hardware data based on a preset weight distribution strategy; determining an evaluation score of the target server based on the weight coefficient of each hardware data and the average change rate of each hardware data; and judging whether to perform capacity expansion operation on the target server or not based on the evaluation score.
Further, determining an evaluation score of the target server based on the weight coefficient of each hardware data and the average rate of change of each hardware data comprises: calculating the total change rate of the hardware data of the target server based on the weight coefficient of each hardware data and the average change rate of each hardware data; determining an evaluation score for the target server based on the total rate of change of hardware data.
Further, determining whether to perform capacity expansion operation on the target server based on the evaluation score includes: and judging whether the evaluation score is larger than a first threshold value, and if so, carrying out capacity expansion operation on the target server.
Further, determining whether to perform capacity expansion operation on the target server based on the evaluation score includes: acquiring a plurality of evaluation scores of the target server in a preset time period; and judging whether the number of the evaluation scores larger than a first threshold value in the plurality of evaluation scores is larger than a second threshold value, and if so, carrying out capacity expansion operation on the target server.
In a second aspect, an embodiment of the present invention further provides a server capacity expansion system based on server health status evaluation, which is applied to a central server; the method comprises the following steps: the system comprises an acquisition module, a calculation module, a first determination module, a second determination module and a judgment module, wherein the acquisition module is used for acquiring hardware data of a target server at a plurality of historical moments before the current moment; the hardware data includes at least one of: CPU utilization rate, memory utilization rate, bandwidth and hard disk data; the target server is a server connected with the central server; the calculation module is used for calculating the average change rate of each piece of hardware data based on the plurality of historical moments based on the hardware data of the plurality of historical moments; the first determining module is used for determining a weight coefficient of each hardware data based on a preset weight distribution strategy; the second determining module is used for determining the evaluation score of the target server based on the weight coefficient of each hardware data and the average change rate of each hardware data; and the judging module is used for judging whether to carry out capacity expansion operation on the target server or not based on the evaluation score.
Further, the second determining module is further configured to: calculating the total change rate of the hardware data of the target server based on the weight coefficient of each hardware data and the average change rate of each hardware data; determining an evaluation score for the target server based on the total rate of change of hardware data.
Further, the determining module further includes: and the first judgment unit is used for judging whether the evaluation score is larger than a first threshold value or not, and if so, carrying out capacity expansion operation on the target server.
Further, the determining module further includes: a second determination unit configured to: acquiring a plurality of evaluation scores of the target server in a preset time period; and judging whether the number of the evaluation scores larger than a first threshold value in the plurality of evaluation scores is larger than a second threshold value, and if so, carrying out capacity expansion operation on the target server.
In a third aspect, an embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method according to the first aspect when executing the computer program.
In a fourth aspect, the present invention further provides a computer-readable medium having non-volatile program code executable by a processor, where the program code causes the processor to execute the method according to the first aspect.
The invention provides a server capacity expansion method and system based on server health state evaluation, which comprises the steps of firstly, acquiring hardware data of a target server at a plurality of historical moments before the current moment; then based on the hardware data at a plurality of historical moments, calculating the average change rate of each hardware data based on a plurality of historical moments; determining a weight coefficient of each hardware data based on a preset weight distribution strategy; and finally, determining the evaluation score of the target server based on the weight coefficient of each hardware data and the average change rate of each hardware data, and judging whether to perform capacity expansion operation on the target server based on the evaluation score. Through the steps, the health state of the target server can be evaluated by the central server according to the hardware state of the target server, and the capacity expansion is autonomously determined without human intervention, so that the decision accuracy is higher, the decision process is more intelligent, and the technical problem of inaccurate decision caused by human intervention in the prior art is solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a server capacity expansion method based on server health status evaluation according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a server capacity expansion system based on server health status evaluation according to an embodiment of the present invention;
fig. 3 is a schematic diagram of another server capacity expansion system based on server health status evaluation according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
fig. 1 is a flowchart of a server capacity expansion method based on server health status evaluation according to an embodiment of the present invention, where the method is applied to a central server. As shown in fig. 1, the method specifically includes the following steps:
step S102, acquiring hardware data of a plurality of historical moments of a target server before the current moment; the hardware data includes at least one of: CPU utilization rate, memory utilization rate, bandwidth and hard disk data; the target server is a server connected to the central server.
For example, the collection program (installed on the target server) collects hardware data of 3 historical times (e.g., 9: 58: 56, 9: 58: 58, 10: 00: 00) before the current time (e.g., 10: 00) of the target server, wherein the collected hardware data includes CPU usage, memory usage, bandwidth, hard disk data, and the like.
Step S104, based on the hardware data of a plurality of historical moments, calculating the average change rate of each hardware data based on a plurality of historical moments.
And step S106, determining a weight coefficient of each hardware data based on a preset weight distribution strategy.
Alternatively, the preset weight distribution policy may be to assign the hardware data (e.g., CPU usage) with the most obvious change to a higher weight coefficient, for example, 85%, and assign other hardware data to a lower weight coefficient, for example, 5%.
And step S108, determining the evaluation score of the target server based on the weight coefficient of each hardware data and the average change rate of each hardware data.
Specifically, the total change rate of the hardware data of the target server is calculated based on the weight coefficient of each hardware data and the average change rate of each hardware data; based on the total rate of change of the hardware data, an evaluation score of the target server is determined.
And step S110, judging whether to perform capacity expansion operation on the target server based on the evaluation score.
The invention provides a server capacity expansion method based on server health state evaluation, which can evaluate the health state of a target server aiming at the hardware state of the target server through a central server, autonomously decides whether to expand the capacity, and has no human intervention, so that the decision accuracy is higher, the decision process is more intelligent, and the technical problem of inaccurate decision caused by human intervention in the prior art is solved.
Optionally, the determination manner in step S110 may be implemented by various implementations, for example, in the embodiment of the present invention, the following two implementations are provided to implement the determination of whether to perform capacity expansion operation on the target server based on the evaluation score.
The first implementation mode comprises the following steps: and judging whether the evaluation score is larger than a first threshold value, and if so, carrying out capacity expansion operation on the target server.
For example, if the evaluation score of the target server is judged to be greater than the first threshold value of 0.8, performing capacity expansion operation on the target server; and if not, not expanding the capacity.
The second embodiment: acquiring a plurality of evaluation scores of a target server in a preset time period; and judging whether the number of the evaluation scores larger than the first threshold value in the plurality of evaluation scores is larger than a second threshold value, and if so, carrying out capacity expansion operation on the target server.
For example, evaluation scores (10 point 02 score, 10 point 04 score.. 10 point 10 score) corresponding to a plurality of moments of the target server within a preset time period are obtained, and when the number of evaluation scores greater than a first threshold (e.g., 0.8) is greater than a second threshold (e.g., 4) among the evaluation scores, a capacity expansion operation is performed on the target server.
It should be noted that, in the server capacity expansion method based on server health status evaluation provided in the embodiment of the present invention, a specific implementation manner of how to determine whether to expand the target server by using the evaluation score is not specifically limited herein.
Example two:
fig. 2 is a schematic diagram of a server capacity expansion system based on server health status evaluation according to an embodiment of the present invention, where the system is applied to a central server. As shown in fig. 2, the system includes: the device comprises an acquisition module 10, a calculation module 20, a first determination module 30, a second determination module 40 and a judgment module 50.
Specifically, the obtaining module 10 is configured to obtain hardware data of a plurality of historical moments of the target server before the current moment; the hardware data includes at least one of: CPU utilization rate, memory utilization rate, bandwidth and hard disk data; the target server is a server connected to the central server.
And the calculating module 20 is used for calculating the average change rate of each hardware data based on a plurality of historical moments based on the hardware data of the plurality of historical moments.
And a first determining module 30, configured to determine a weight coefficient of each hardware data based on a preset weight distribution policy.
And the second determination module 40 is used for determining the evaluation score of the target server based on the weight coefficient of each hardware data and the average change rate of each hardware data.
Specifically, the second determining module 40 is further configured to: calculating the total change rate of the hardware data of the target server based on the weight coefficient of each hardware data and the average change rate of each hardware data; based on the total rate of change of the hardware data, an evaluation score of the target server is determined.
And the judging module 50 is configured to judge whether to perform capacity expansion operation on the target server based on the evaluation score.
The invention provides a server capacity expansion system based on server health state evaluation, which can evaluate the health state of a target server aiming at the hardware state of the target server through a central server, autonomously decides whether to expand the capacity, and has no human intervention, so that the decision accuracy is higher, the decision process is more intelligent, and the technical problem of inaccurate decision caused by human intervention in the prior art is solved.
Optionally, fig. 3 is a schematic diagram of another server capacity expansion system based on server health status evaluation according to an embodiment of the present invention. As shown in fig. 3, the determining module 50 in the system further includes: a first judgment unit 51 and a second judgment unit 52.
Specifically, the first judging unit 51 is configured to judge whether the evaluation score is greater than a first threshold, and if so, perform a capacity expansion operation on the target server.
A second judging unit 52 configured to: acquiring a plurality of evaluation scores of a target server in a preset time period; and judging whether the number of the evaluation scores larger than the first threshold value in the plurality of evaluation scores is larger than a second threshold value, and if so, carrying out capacity expansion operation on the target server.
The embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and when the processor executes the computer program, the steps of the method in the first embodiment are implemented.
The embodiment of the invention also provides a computer readable medium with a non-volatile program code executable by a processor, wherein the program code causes the processor to execute the method in the first embodiment.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A server capacity expansion method based on server health state evaluation is characterized by being applied to a central server; the method comprises the following steps:
acquiring hardware data of a target server at a plurality of historical moments before the current moment; the hardware data includes at least one of: CPU utilization rate, memory utilization rate, bandwidth and hard disk data; the target server is a server connected with the central server;
calculating an average change rate of each hardware data based on the plurality of historical moments based on the hardware data of the plurality of historical moments;
determining a weight coefficient of each hardware data based on a preset weight distribution strategy;
determining an evaluation score of the target server based on the weight coefficient of each hardware data and the average change rate of each hardware data;
and judging whether to perform capacity expansion operation on the target server or not based on the evaluation score.
2. The method of claim 1, wherein determining the evaluation score of the target server based on the weight coefficient of each hardware data and the average rate of change of each hardware data comprises:
calculating the total change rate of the hardware data of the target server based on the weight coefficient of each hardware data and the average change rate of each hardware data;
determining an evaluation score for the target server based on the total rate of change of hardware data.
3. The method of claim 1, wherein determining whether to perform a capacity expansion operation on the target server based on the evaluation score comprises:
and judging whether the evaluation score is larger than a first threshold value, and if so, carrying out capacity expansion operation on the target server.
4. The method of claim 1, wherein determining whether to perform a capacity expansion operation on the target server based on the evaluation score comprises:
acquiring a plurality of evaluation scores of the target server in a preset time period;
and judging whether the number of the evaluation scores larger than a first threshold value in the plurality of evaluation scores is larger than a second threshold value, and if so, carrying out capacity expansion operation on the target server.
5. A server capacity expansion system based on server health state evaluation is characterized by being applied to a central server; the method comprises the following steps: an acquisition module, a calculation module, a first determination module, a second determination module and a judgment module, wherein,
the acquisition module is used for acquiring hardware data of a plurality of historical moments of the target server before the current moment; the hardware data includes at least one of: CPU utilization rate, memory utilization rate, bandwidth and hard disk data; the target server is a server connected with the central server;
the calculation module is used for calculating the average change rate of each piece of hardware data based on the plurality of historical moments based on the hardware data of the plurality of historical moments;
the first determining module is used for determining a weight coefficient of each hardware data based on a preset weight distribution strategy;
the second determining module is used for determining the evaluation score of the target server based on the weight coefficient of each hardware data and the average change rate of each hardware data;
and the judging module is used for judging whether to carry out capacity expansion operation on the target server or not based on the evaluation score.
6. The system of claim 5, wherein the second determining module is further configured to: calculating the total change rate of the hardware data of the target server based on the weight coefficient of each hardware data and the average change rate of each hardware data; determining an evaluation score for the target server based on the total rate of change of hardware data.
7. The system of claim 5, wherein the determining module further comprises: and the first judgment unit is used for judging whether the evaluation score is larger than a first threshold value or not, and if so, carrying out capacity expansion operation on the target server.
8. The system of claim 5, wherein the determining module further comprises: a second determination unit configured to: acquiring a plurality of evaluation scores of the target server in a preset time period; and judging whether the number of the evaluation scores larger than a first threshold value in the plurality of evaluation scores is larger than a second threshold value, and if so, carrying out capacity expansion operation on the target server.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method of any of the preceding claims 1 to 4 are implemented when the computer program is executed by the processor.
10. A computer-readable medium having non-volatile program code executable by a processor, wherein the program code causes the processor to perform the method of any of claims 1-4.
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Cited By (1)
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| CN116744321A (en) * | 2023-08-11 | 2023-09-12 | 中维建技术有限公司 | Data regulation and control method for intelligent operation and maintenance integrated platform for 5G communication |
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Application publication date: 20210205 |