CN108549595B - Method and system for dynamically acquiring state information of computing system - Google Patents
Method and system for dynamically acquiring state information of computing system Download PDFInfo
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- CN108549595B CN108549595B CN201810347985.3A CN201810347985A CN108549595B CN 108549595 B CN108549595 B CN 108549595B CN 201810347985 A CN201810347985 A CN 201810347985A CN 108549595 B CN108549595 B CN 108549595B
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- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
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Abstract
The invention relates to the technical field of system state information acquisition, and particularly discloses a dynamic acquisition method of state information of a computing system, wherein the method comprises the following steps: acquiring system state information through an acquisition tool; performing data processing on the system state information to obtain a data processing result; aggregating the system state information to obtain an aggregation result; carrying out frequency conversion feedback adjustment processing on the system state information, and updating the acquisition frequency of an acquisition tool in real time; and outputting the data processing result and the aggregation result. The invention also discloses a dynamic acquisition system for the state information of the computing system. The dynamic acquisition method for the state information of the computing system provided by the invention reduces the data redundancy generated in the normal operation state and reduces the storage and calculation pressure of the system.
Description
Technical Field
The invention relates to the technical field of system state information acquisition, in particular to a dynamic acquisition method and a dynamic acquisition system for state information of a computing system.
Background
The method comprises the steps that a computing system monitors and acquires monitoring data through acquiring state information of the computing system, then active defense on the running state of the computing system is achieved through means of calculation, analysis, aggregation and the like on the acquired monitoring data, potential accidental abnormity or malicious behaviors are early warned in advance, and the computer is prevented from getting ill before loss is generated.
In the current mainstream monitoring of the computing system, a fixed frequency acquisition strategy is mainly used for acquiring the state information of the computing system, and the method has the advantages of simple realization; the method has the disadvantages that for a normally operating computing system, the computing system is in a normal working state most of the time, and in order to react to the abnormality in the first time, high-frequency acquisition is adopted during normal operation of the system as the high-frequency acquisition is adopted during the abnormality occurrence, so that the acquired data in response is not missed during the abnormality occurrence. The cost is that a large amount of useless redundant data is generated, the use of the running data in the normal running state of the system is small in the subsequent processing, the data size is large, and unnecessary pressure is brought to the storage and calculation of the system. In the prior art, an open source acquisition component Telegraf framework exists, dynamic acquisition is not realized in the open source acquisition component Telegraf framework, the change of acquisition frequency is realized by rewriting configuration files and restarting an acquisition component to enable the acquisition component to take effect, and a generated acquisition result has a large amount of data redundancy when a system is normal; the change in acquisition frequency cannot be effected immediately.
Therefore, how to provide a dynamic acquisition method becomes a technical problem to be solved urgently by those skilled in the art.
Disclosure of Invention
The present invention is directed to at least solve one of the technical problems in the prior art, and provides a method and a system for dynamically acquiring state information of a computing system, so as to solve the problems in the prior art.
As a first aspect of the present invention, a method for dynamically collecting state information of a computing system is provided, where the method for dynamically collecting state information of a computing system includes:
acquiring system state information through an acquisition tool;
performing data processing on the system state information to obtain a data processing result;
aggregating the system state information to obtain an aggregation result;
carrying out frequency conversion feedback adjustment processing on the system state information, and updating the acquisition frequency of an acquisition tool in real time;
and outputting the data processing result and the aggregation result.
Preferably, the performing frequency conversion feedback adjustment processing on the system state information, and updating the acquisition frequency of the acquisition tool in real time includes:
judging whether the system state information is abnormal or not;
when some item of system state information is abnormal, determining that the system state information needs to be subjected to frequency conversion acquisition, and searching other items of system state information needing to be subjected to frequency conversion acquisition simultaneously according to the correlation;
carrying out high-frequency acquisition on system state information needing frequency conversion acquisition, wherein the acquisition frequency of the high-frequency acquisition is a first acquisition frequency;
judging whether the system state information acquired at the first acquisition frequency is continuously in an abnormal threshold value;
if the system state information acquired by the first acquisition frequency is not continuously in the abnormal threshold value, increasing the acquisition interval to obtain a second acquisition frequency;
if the system state information acquired by the first acquisition frequency is continuously in an abnormal threshold value, returning to execute high-frequency acquisition of the system state information needing frequency conversion acquisition, wherein the acquisition frequency of the high-frequency acquisition is the first acquisition frequency;
judging whether the system state information acquired at the second acquisition frequency belongs to an abnormal numerical value or not;
if the system state information acquired by the second acquisition frequency does not belong to an abnormal numerical value, judging whether the second acquisition frequency reaches the lowest acquisition frequency;
if the second acquisition frequency reaches the lowest acquisition frequency, determining that the system running state is normal;
if the second acquisition frequency does not reach the lowest acquisition frequency, returning to execute the increased acquisition interval to obtain the second acquisition frequency;
and if the system state information acquired by the second acquisition frequency belongs to an abnormal numerical value, returning to execute high-frequency acquisition of the system state information needing frequency conversion acquisition, wherein the acquisition frequency of the high-frequency acquisition is the first acquisition frequency.
Preferably, the first acquisition frequency is 5 s/time and the second acquisition frequency is (5+ 5N) s/time, where N represents the number of times the step of increasing the acquisition interval is performed, and N ≧ 1.
Preferably, the dynamic collection method for computing system status information further comprises, before the step of obtaining system status information by a collection tool: and dynamically generating a pseudo file system.
Preferably, the dynamically generating dummy file system includes:
the initial system state information is dynamically mapped into the pseudo file system by the system kernel.
Preferably, the dynamic collection method for computing system status information further comprises, before the step of obtaining system status information by a collection tool:
configuring an acquisition tool to which an initial acquisition frequency is input.
Preferably, the collection tool comprises a Psutil tool.
As a second aspect of the present invention, a dynamic collection system for computing system state information is provided, wherein the dynamic collection system for computing system state information includes:
the acquisition module is used for acquiring system state information through an acquisition tool;
the data processing module is used for carrying out data processing on the system state information to obtain a data processing result;
the aggregation module is used for aggregating the system state information to obtain an aggregation result;
the frequency conversion module is used for carrying out frequency conversion feedback adjustment processing on the system state information and updating the acquisition frequency of an acquisition tool in real time;
and the output module is used for outputting the data processing result and the aggregation result.
Preferably, the dynamic collection system for computing system state information further comprises a configuration unit, wherein the configuration unit is used for configuring a collection tool and inputting an initial collection frequency into the collection tool.
Preferably, the dynamic collection system for state information of a computing system further comprises a pseudo file system generation module, and the pseudo file system generation module is used for dynamically generating a pseudo file system.
According to the dynamic acquisition method of the state information of the computing system, the acquisition frequency of the acquisition tool is updated in real time by performing variable frequency feedback adjustment on the state information of the system, so that low-frequency acquisition can be realized during normal operation of the system, high-frequency acquisition can be realized during abnormal operation, the data redundancy generated under the normal operation state is reduced while the acquisition precision of the abnormal state information is ensured, the storage and calculation pressure of the system is reduced, and the dynamic acquisition of the state information of the system is realized.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of a method for dynamically collecting state information of a computing system according to the present invention.
Fig. 2 is a flowchart of a specific embodiment of the frequency conversion feedback adjustment process provided in the present invention.
Fig. 3 is a schematic diagram of the system status information correlation provided in the present invention.
Fig. 4 is a schematic structural diagram of a dynamic acquisition system for computing system state information provided by the present invention.
Fig. 5 is a schematic structural diagram of an embodiment of a dynamic acquisition system of state information of a computing system according to the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
As a first aspect of the present invention, a method for dynamically collecting state information of a computing system is provided, where as shown in fig. 1, the method for dynamically collecting state information of a computing system includes:
s110, acquiring system state information through an acquisition tool;
s120, performing data processing on the system state information to obtain a data processing result;
s130, aggregating the system state information to obtain an aggregation result;
s140, performing frequency conversion feedback adjustment processing on the system state information, and updating the acquisition frequency of an acquisition tool in real time;
and S150, outputting the data processing result and the aggregation result.
According to the dynamic acquisition method of the state information of the computing system, the acquisition frequency of the acquisition tool is updated in real time by performing variable frequency feedback adjustment on the state information of the system, so that low-frequency acquisition can be realized during normal operation of the system, high-frequency acquisition can be realized during abnormal operation, the data redundancy generated under the normal operation state is reduced while the acquisition precision of the abnormal state information is ensured, the storage and calculation pressure of the system is reduced, and the dynamic acquisition of the state information of the system is realized.
Specifically, the frequency conversion feedback adjustment processing on the system state information, and the updating of the acquisition frequency of the acquisition tool in real time includes:
judging whether the system state information is abnormal or not;
when some item of system state information is abnormal, determining that the system state information needs to be subjected to frequency conversion acquisition, and searching other items of system state information needing to be subjected to frequency conversion acquisition simultaneously according to the correlation;
carrying out high-frequency acquisition on system state information needing frequency conversion acquisition, wherein the acquisition frequency of the high-frequency acquisition is a first acquisition frequency;
judging whether the system state information acquired at the first acquisition frequency is continuously in an abnormal threshold value;
if the system state information acquired by the first acquisition frequency is not continuously in the abnormal threshold value, increasing the acquisition interval to obtain a second acquisition frequency;
if the system state information acquired by the first acquisition frequency is continuously in an abnormal threshold value, returning to execute high-frequency acquisition of the system state information needing frequency conversion acquisition, wherein the acquisition frequency of the high-frequency acquisition is the first acquisition frequency;
judging whether the system state information acquired at the second acquisition frequency belongs to an abnormal numerical value or not;
if the system state information acquired by the second acquisition frequency does not belong to an abnormal numerical value, judging whether the second acquisition frequency reaches the lowest acquisition frequency;
if the second acquisition frequency reaches the lowest acquisition frequency, determining that the system running state is normal;
if the second acquisition frequency does not reach the lowest acquisition frequency, returning to execute the increased acquisition interval to obtain the second acquisition frequency;
and if the system state information acquired by the second acquisition frequency belongs to an abnormal numerical value, returning to execute high-frequency acquisition of the system state information needing frequency conversion acquisition, wherein the acquisition frequency of the high-frequency acquisition is the first acquisition frequency.
Preferably, the first acquisition frequency is 5 s/time and the second acquisition frequency is (5+ 5N) s/time, where N represents the number of times the step of increasing the acquisition interval is performed, and N ≧ 1.
Preferably, the lowest acquisition frequency is 30 s/time.
It should be noted that, as shown in fig. 2, in the frequency conversion process, since there is correlation between the state information of the computing system, the state information may be collected by performing group frequency conversion according to the correlation: when a certain abnormality occurs, high-frequency acquisition is carried out on state information which is relevant to the abnormality, and low-frequency acquisition is still carried out on irrelevant state information. Compared with global frequency conversion, the grouped frequency conversion can further reduce the data redundancy of the acquired result, and simultaneously ensure the sensitivity to abnormity and the acquisition precision.
Regarding the above-mentioned basis for obtaining the correlation of the system status information, specifically, the basis for judging which collection frequency is adopted is that the collection numerical value of 49 items related to the system operation status in the total 164 items of the computing system status information is within a normal threshold or an abnormal threshold. Tables 1, 2, and 3 show the meaning of the status information of 49 items as the basis of frequency conversion, and the normal threshold and abnormal threshold thereof.
TABLE 1 System resource usage statistics
TABLE 2 statistical information of resources in a state in a system
TABLE 3 message failure statistics caused by network state anomaly
The correlation of the finally obtained system state information is shown in fig. 3.
Specifically, the dynamic collection method for computing system status information further comprises, before the step of obtaining system status information by a collection tool: and dynamically generating a pseudo file system.
Further specifically, the dynamically generating a dummy file system includes:
the initial system state information is dynamically mapped into the pseudo file system by the system kernel.
Specifically, the dynamic collection method for computing system status information further comprises, before the step of obtaining system status information by a collection tool:
configuring an acquisition tool to which an initial acquisition frequency is input.
It should be appreciated that the acquisition tool needs to be initially configured for the acquisition frequency before system state information is initially acquired.
Preferably, the collection tool comprises a Psutil tool.
As a second aspect of the present invention, a dynamic collection system for computing system state information is provided, where, as shown in fig. 4, the dynamic collection system for computing system state information 10 includes:
an obtaining module 110, wherein the obtaining module 110 is configured to obtain system state information through a collecting tool;
the data processing module 120, the data processing module 120 is configured to perform data processing on the system state information to obtain a data processing result;
the aggregation module 130, configured to aggregate the system state information to obtain an aggregation result;
the frequency conversion module 140, the frequency conversion module 140 is configured to perform frequency conversion feedback adjustment processing on the system state information, and update the acquisition frequency of the acquisition tool in real time;
an output module 150, configured to output the data processing result and the aggregation result.
According to the dynamic acquisition system for the state information of the computing system, the acquisition frequency of the acquisition tool is updated in real time by performing variable frequency feedback adjustment on the state information of the system, so that low-frequency acquisition can be realized during normal operation of the system, high-frequency acquisition can be realized during abnormal operation, the data redundancy generated under the normal operation state is reduced while the acquisition precision of the abnormal state information is ensured, the storage and calculation pressure of the system is reduced, and the dynamic acquisition of the state information of the system is realized.
Specifically, in order to implement the configuration of the collection tool, the dynamic collection system for computing system state information further comprises a configuration unit, wherein the configuration unit is used for configuring the collection tool and inputting an initial collection frequency into the collection tool.
Specifically, the dynamic state information acquisition system of the computing system further comprises a pseudo file system generation module, and the pseudo file system generation module is used for dynamically generating a pseudo file system.
Fig. 5 is a schematic structural diagram of a specific embodiment of the dynamic acquisition system for computing system state information according to the present invention. The system state information is acquired through the acquisition tool, is output after passing through the processing module and the aggregation module, and the acquisition frequency of the acquisition tool is updated after the system state information is subjected to correlation analysis processing through the frequency conversion module, so that the acquisition frequency can be reduced when the system operates normally, and the data redundancy of the acquisition result is effectively reduced; the acquisition frequency is changed according to the state information threshold value which is used for calculating whether the state information of the system is normal or not and has correlation with the system running state, so that the acquisition precision of the acquisition result is ensured when an abnormality occurs; according to the correlation among the state information of the computing system, the data redundancy of the acquired result is further reduced; the change of the acquisition frequency takes effect immediately, and the defect that the telegraff collector can take effect only by restarting when the acquisition frequency is changed is overcome.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.
Claims (9)
1. A dynamic collection method for computing system state information is characterized in that the dynamic collection method for computing system state information comprises the following steps:
acquiring system state information through an acquisition tool;
performing data processing on the system state information to obtain a data processing result;
aggregating the system state information to obtain an aggregation result;
carrying out frequency conversion feedback adjustment processing on the system state information, and updating the acquisition frequency of an acquisition tool in real time;
outputting the data processing result and the aggregation result;
wherein, the frequency conversion feedback adjustment processing is carried out on the system state information, and the real-time updating of the acquisition frequency of the acquisition tool comprises the following steps:
judging whether the system state information is abnormal or not;
when some item of system state information is abnormal, determining that the system state information needs to be subjected to frequency conversion acquisition, and searching other items of system state information needing to be subjected to frequency conversion acquisition simultaneously according to the correlation;
carrying out high-frequency acquisition on system state information needing frequency conversion acquisition, wherein the acquisition frequency of the high-frequency acquisition is a first acquisition frequency;
judging whether the system state information acquired at the first acquisition frequency is continuously in an abnormal threshold value;
if the system state information acquired by the first acquisition frequency is not continuously in the abnormal threshold value, increasing the acquisition interval to obtain a second acquisition frequency;
if the system state information acquired by the first acquisition frequency is continuously in an abnormal threshold value, returning to execute high-frequency acquisition of the system state information needing frequency conversion acquisition, wherein the acquisition frequency of the high-frequency acquisition is the first acquisition frequency;
judging whether the system state information acquired at the second acquisition frequency belongs to an abnormal numerical value or not;
if the system state information acquired by the second acquisition frequency does not belong to an abnormal numerical value, judging whether the second acquisition frequency reaches the lowest acquisition frequency;
if the second acquisition frequency reaches the lowest acquisition frequency, determining that the system running state is normal;
if the second acquisition frequency does not reach the lowest acquisition frequency, returning to execute the increased acquisition interval to obtain the second acquisition frequency;
and if the system state information acquired by the second acquisition frequency belongs to an abnormal numerical value, returning to execute high-frequency acquisition of the system state information needing frequency conversion acquisition, wherein the acquisition frequency of the high-frequency acquisition is the first acquisition frequency.
2. The method of claim 1, wherein the first acquisition frequency is 5 s/time and the second acquisition frequency is (5+ 5N) s/time, where N represents the number of times the step of increasing the acquisition interval is performed, and N ≧ 1.
3. The dynamic collection method of computing system state information according to claim 1, further comprising, prior to the step of obtaining system state information via a collection tool: and dynamically generating a pseudo file system.
4. The dynamic collection method of computing system state information of claim 3, wherein the dynamically generating a dummy file system comprises:
the initial system state information is dynamically mapped into the pseudo file system by the system kernel.
5. The dynamic collection method of computing system state information according to claim 1, further comprising, prior to the step of obtaining system state information via a collection tool:
configuring an acquisition tool to which an initial acquisition frequency is input.
6. The dynamic collection method of computing system state information according to any one of claims 1 to 5, wherein the collection tool comprises a Psutil tool.
7. A dynamic collection system of computing system state information, for implementing the dynamic collection method of computing system state information of any one of claims 1 to 6, wherein the dynamic collection system of computing system state information comprises:
the acquisition module is used for acquiring system state information through an acquisition tool;
the data processing module is used for carrying out data processing on the system state information to obtain a data processing result;
the aggregation module is used for aggregating the system state information to obtain an aggregation result;
the frequency conversion module is used for carrying out frequency conversion feedback adjustment processing on the system state information and updating the acquisition frequency of an acquisition tool in real time;
and the output module is used for outputting the data processing result and the aggregation result.
8. The dynamic collection system of computing system state information of claim 7, further comprising a configuration unit configured to configure a collection tool to which an initial collection frequency is input.
9. The dynamic collection system of computing system state information of claim 7, further comprising a pseudo file system generation module, the pseudo file system generation module configured to dynamically generate a pseudo file system.
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| CN109325104B (en) * | 2018-10-30 | 2021-11-19 | 中译语通科技股份有限公司 | Method for dynamically calculating news acquisition service resources |
| US20230004475A1 (en) * | 2019-11-28 | 2023-01-05 | Siemens Aktiengesellschaft | Method and Apparatus for Determining Collection Frequency, Computer Device, and Storage Medium |
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| CN102175269A (en) * | 2011-01-24 | 2011-09-07 | 华东师范大学 | Sensor device capable of changing sampling frequency and control method thereof |
| CN106681882A (en) * | 2015-11-06 | 2017-05-17 | 上海瑞致软件有限公司 | IT-service concentrated monitoring and managing system based on Apriori algorithm |
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