CN103544091A - Method and device for monitoring Windows process - Google Patents
Method and device for monitoring Windows process Download PDFInfo
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Abstract
The invention discloses a method and device for monitoring a Windows process. The method comprises the steps of obtaining performance data of the process; obtaining preset data corresponding to the performance data,wherein the preset data representing the normal running of the process; and determining whether the process runs normally according to comparison results of the performance data and the preset data. Through the method and device for monitoring the Windows process, the problem that a running state of the process cannot be monitored accurately in the prior art is solved, and the effect of analyzing performance conditions of the process in real time is achieved.
Description
Technical field
The present invention relates to data processing field, in particular to a kind of method for supervising and device of Windows process.
Background technology
In prior art, Windows Resource Monitor can monitor the service data of each process, but can not obtain the details of process, cannot know each running state of a process, in the situation that monitoring process exists hidden danger, can cause system works unstable.
For the accurate problem of the running status of monitoring process in prior art, effective solution is not yet proposed at present.
Summary of the invention
For the accurate problem of the running status of monitoring process in correlation technique, effective solution is not yet proposed at present, for this reason, fundamental purpose of the present invention is to provide a kind of method for supervising and device of Windows process, to address the above problem.
To achieve these goals, according to an aspect of the present invention, provide a kind of method for supervising of Windows process, the method comprises: the performance data of obtaining process; Obtain the preset data corresponding with performance data, wherein, preset data is the data of the normal operation of sign process; According to the comparison result of performance data and preset data, determine whether normally operation of process.
Further, performance data comprises: the working time of process, preset data comprises: default working time, determine that the whether normal step of process comprises: detect the scope that whether meets default working time working time according to the comparison result of performance data and preset data; In the situation that meet the scope of default working time working time, determine process normal operation; In the situation that do not meet the scope of default working time working time, determine process operation exception.
Further, performance data comprises: the network flow data of process, preset data comprises: preset flow data, according to the comparison result of performance data and preset data, determine that the whether normal step of process comprises: whether Sampling network data on flows surpasses preset flow data; In the situation that network flow data surpasses preset flow data, determine process operation exception; In the situation that network flow data is no more than preset flow data, determine process normal operation.
Further, performance data comprises: the port of process, and preset data comprises: bundling port, according to performance data and the comparison result of preset data, determine that the whether normal step of process comprises: whether detection port is consistent with bundling port; In the situation that port is consistent with bundling port, determine process normal operation; In port and the inconsistent situation of bundling port, determine process operation exception.
Further, before obtaining the performance data of process, method comprises: collect the process that current system is moving; Whether detection procedure accesses network; The in the situation that of process accesses network, collect the network information data of process; In the situation that process does not have accesses network, collect the local information data of process.
Further, performance data comprises: the network flow data of network information data, destination IP and port, performance data also comprises: the CPU usage data of local information data, internal memory usage data and disk usage data.
To achieve these goals, according to a further aspect in the invention, provide a kind of supervising device of Windows process, this device comprises: the first acquisition module, for obtaining the performance data of process; The second acquisition module, for obtaining the preset data corresponding with performance data, wherein, preset data is the data of the normal operation of sign process; Whether normally comparing module, for determining process operation according to the comparison result of performance data and preset data.
Further, performance data comprises: the working time of process, preset data comprises: default working time, comparing module comprises: time detecting module, for detection of the scope that whether meets default working time working time; The first determination module, in the situation that meet the scope of default working time working time, determines process normal operation; The second determination module, in the situation that do not meet the scope of default working time working time, determines process operation exception.
Further, performance data comprises: the network flow data of process, and preset data comprises: preset flow data, comparing module comprises: whether flow detection module, surpass preset flow data for detection of network flow data; The 3rd determination module, in the situation that network flow data surpasses preset flow data, determines process operation exception; The 4th determination module, for be no more than preset flow data at network flow data in the situation that, determines process normal operation.
Further, performance data comprises: the port of process, and preset data comprises: bundling port, comparing module comprises: whether port detecting module is consistent with bundling port for detection of port; The 5th determination module, in the situation that port is consistent with bundling port, determines process normal operation; The 6th determination module, in port and the inconsistent situation of bundling port, determines process operation exception.
Further, device comprises: collection module, the process of moving for collecting current system; Access detection module, for detection of process accesses network whether; Network Information Gathering module, for the process accesses network in the situation that, collects the network information data of process; Local information collection module, in the situation that process does not have accesses network, collects the local information data of process.
Adopt the present invention, the performance data of the process of Real-time Obtaining and preset data can be compared, according to comparison result, determine whether normally operation of process, thereby can real-time analysis running state of a process and performance situation, and can there is abnormal situation according to comparison result prompting process, thereby solved in prior art the accurately problem of the running status of monitoring process, realized the effect of performance situation that can real-time analysis process, and can occur according to self-defining monitoring strategies automatic-prompting process abnormal, thereby can be according to the abnormal conditions of process operation, control operation system, stability with the operation of assurance system.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide a further understanding of the present invention, forms the application's a part, and schematic description and description of the present invention is used for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is according to the structural representation of the supervising device of the Windows process of the embodiment of the present invention;
Fig. 2 is according to the structural representation of the supervising device of a kind of optional Windows process of the embodiment of the present invention; And
Fig. 3 is according to the process flow diagram of the method for supervising of the Windows process of the embodiment of the present invention.
Embodiment
It should be noted that, in the situation that not conflicting, embodiment and the feature in embodiment in the application can combine mutually.Describe below with reference to the accompanying drawings and in conjunction with the embodiments the present invention in detail.
Fig. 1 is according to the structural representation of the supervising device of the Windows process of the embodiment of the present invention.As shown in Figure 1, this device can comprise: the first acquisition module 10, for obtaining the performance data of process; The second acquisition module 30, for obtaining the preset data corresponding with performance data, wherein, preset data is the data of the normal operation of sign process; Whether normally comparing module 50, for determining process operation according to the comparison result of performance data and preset data.
Adopt the present invention, the performance data of the process of Real-time Obtaining and preset data can be compared, according to comparison result, determine whether normally operation of process, thereby can real-time analysis running state of a process and performance situation, and can there is abnormal situation according to comparison result prompting process, thereby solved in prior art the accurately problem of the running status of monitoring process, realized the effect of performance situation that can real-time analysis process, and can occur according to self-defining monitoring strategies automatic-prompting process abnormal, thereby can be according to the abnormal conditions of process operation, control operation system, stability with the operation of assurance system.
In the above-described embodiments, comparing module can be according to the self-defined multiple process supervision method of the different monitoring demand of user, and can open api, with self-defined exploitation supervision method.
According to the abovementioned embodiments of the present invention, performance data can comprise: the working time of process, preset data can comprise: default working time, comparing module can comprise: time detecting module, for detection of the scope that whether meets default working time working time; The first determination module, in the situation that meet the scope of default working time working time, determines process normal operation; The second determination module, in the situation that do not meet the scope of default working time working time, determines process operation exception.
Particularly, can comprise that correct start-up time of process and correct end time are to determine the working time of process the working time of process, can from database, read default working time that should process, the start-up time of process operation and the scope of end time and default working time are compared, if in the scope of default working time, determine process normal operation, if not in the scope of default working time, process operation occurs abnormal so.
In the above embodiment of the present invention, performance data can comprise: the network flow data of process, preset data can comprise: preset flow data, and comparing module can comprise: whether flow detection module, surpass preset flow data for detection of network flow data; The 3rd determination module, in the situation that network flow data surpasses preset flow data, determines process operation exception; The 4th determination module, for be no more than preset flow data at network flow data in the situation that, determines process normal operation.
Particularly, above-described embodiment can be applied in the supervision of the excessive process of resource occupying.Wherein, it is 100MB every day that preset flow data can be used for the network traffics of each process, and to different processes, can carry out the personal settings of different preset flow data, and its default network flow data is set to self-defining size.
In the above embodiment of the present invention, performance data can comprise: the port of process, and preset data can comprise: bundling port, comparing module can comprise: whether port detecting module is consistent with bundling port for detection of port; The 5th determination module, in the situation that port is consistent with bundling port, determines process normal operation; The 6th determination module, in port and the inconsistent situation of bundling port, determines process operation exception.
Particularly, during above-described embodiment can monitor for tcp/ip layer process.Wherein, preset data not only can comprise bundling port, can also preset long-range ip address, if port and the bundling port of process access are inconsistent, or remote ip address and the default remote address of process access are inconsistent, determine this process operation exception.
According to the abovementioned embodiments of the present invention, device can comprise: collection module, the process of moving for collecting current system; Access detection module, for detection of process accesses network whether; Network Information Gathering module, for the process accesses network in the situation that, collects the network information data of process; Local information collection module, in the situation that process does not have accesses network, collects the local information data of process.
Particularly, process monitoring module shown in Fig. 2 (being the collection module in above-described embodiment) can be the service operating in system, this service can be collected the process of moving in current system in process initiation process, and process data is recorded in a list, this list can record the process title and the information of the identification process such as pid, whenever receiving that the message of system creation or the process of termination just can upgrade this list.
Process accesses network judge module in Fig. 2 (being the access detection module of above-described embodiment): this module can be passed through hook socket api(interface routine) monitoring process accesses network whether, if accesses network starts Network Information Gathering module so, if process accesses network not starts local resource collection module.
Wherein, Network Information Gathering module, mainly by the supervision to network adapter, collects according to different processes network flow data, destination ip data and the port data that each process is used; Local resource collection module, by the process in process list, is collected the performance count of each process, comprising information such as cpu usage data, internal memory use and disk uses.
Data structured memory module: Network Information Gathering module and local resource collection module are stored in the network information data of collecting and local information data in database according to structurized form.Wherein, the process that network information data and local information data are stored in database according to structurized form can realize by data structured memory module, and the data of data structured data memory module in can also real-time update database.
Fig. 3 is that the method comprises the steps: as shown in Figure 3 according to the process flow diagram of the method for supervising of the Windows process of the embodiment of the present invention
Step S102, obtains the performance data of process.
Step S104, obtains the preset data corresponding with performance data, and wherein, preset data is the data of the normal operation of sign process.
Whether normally step S106, determine process operation according to the comparison result of performance data and preset data.
Adopt the present invention, the performance data of the process of Real-time Obtaining and preset data can be compared, according to comparison result, determine whether normally operation of process, thereby can real-time analysis running state of a process and performance situation, and can there is abnormal situation according to comparison result prompting process, thereby solved in prior art the accurately problem of the running status of monitoring process, realized the effect of performance situation that can real-time analysis process, and can occur according to self-defining monitoring strategies automatic-prompting process abnormal, thereby can be according to the abnormal conditions of process operation, control operation system, stability with the operation of assurance system.
According to the abovementioned embodiments of the present invention, performance data can comprise: the working time of process, preset data can comprise: default working time, determine that the whether normal step of process can comprise: detect the scope that whether meets default working time working time according to the comparison result of performance data and preset data; In the situation that meet the scope of default working time working time, determine process normal operation; In the situation that do not meet the scope of default working time working time, determine process operation exception.
Particularly, can comprise that correct start-up time of process and correct end time are to determine the working time of process the working time of process, can from database, read default working time that should process, the start-up time of process operation and the scope of end time and default working time are compared, if in the scope of default working time, determine process normal operation, if not in the scope of default working time, process operation occurs abnormal so.
In the above embodiment of the present invention, performance data can comprise: the network flow data of process, preset data can comprise: preset flow data, according to the comparison result of performance data and preset data, determine that the whether normal step of process can comprise: whether Sampling network data on flows surpasses preset flow data; In the situation that network flow data surpasses preset flow data, determine process operation exception; In the situation that network flow data is no more than preset flow data, determine process normal operation.
Particularly, above-described embodiment can be applied in the supervision of the excessive process of resource occupying.Wherein, it is 100MB every day that preset flow data can be used for the network traffics of each process, and to different processes, can carry out the personal settings of different preset flow data, and its default network flow data is set to self-defining size.
According to the abovementioned embodiments of the present invention, performance data can comprise: the port of process, preset data can comprise: bundling port, according to performance data and the comparison result of preset data, determine that the whether normal step of process can comprise: whether detection port is consistent with bundling port; In the situation that port is consistent with bundling port, determine process normal operation; In port and the inconsistent situation of bundling port, determine process operation exception.
Particularly, during above-described embodiment can monitor for tcp/ip layer process.Wherein, preset data not only can comprise bundling port, can also preset long-range ip address, if port and the bundling port of process access are inconsistent, or remote ip address and the default remote address of process access are inconsistent, determine this process operation exception.
In the above-described embodiments, before obtaining the performance data of process, method can comprise: collect the process that current system is moving; Whether detection procedure accesses network; The in the situation that of process accesses network, collect the network information data of process; In the situation that process does not have accesses network, collect the local information data of process.
Particularly, performance data can comprise: the network flow data of network information data, destination IP and port, performance data also comprises: the CPU usage data of local information data, internal memory usage data and disk usage data.
Particularly, process shown in Fig. 2 monitors that module (being the collection module in above-described embodiment) can be the service operating in system, this service can be collected the process of moving in current system in process initiation process, and process data is recorded in a list, this list can record the process title and the information of the identification process such as pid, whenever receiving that the message of system creation or the process of termination just can upgrade this list.
Process accesses network judge module in Fig. 2 (being the access detection module of above-described embodiment): this module can be passed through hook socket api(interface routine) monitoring process accesses network whether, if accesses network starts Network Information Gathering module so, if process accesses network not starts local resource collection module.
Wherein, Network Information Gathering module, mainly by the supervision to network adapter, collects according to different processes network flow data, destination ip data and the port data that each process is used; Local resource collection module, by the process in process list, is collected the performance count of each process, comprising information such as cpu usage data, internal memory use and disk uses.
Data structured memory module: Network Information Gathering module and local resource collection module are stored in the network information data of collecting and local information data in database according to structurized form.Wherein, the process that network information data and local information data are stored in database according to structurized form can realize by data structured memory module, and the data of data structured data memory module in can also real-time update database.
It should be noted that, in the step shown in the process flow diagram of accompanying drawing, can in the computer system such as one group of computer executable instructions, carry out, and, although there is shown logical order in flow process, but in some cases, can carry out shown or described step with the order being different from herein.
From above description, can find out, the present invention has realized following technique effect: adopt the present invention, the performance data of the process of Real-time Obtaining and preset data can be compared, according to comparison result, determine whether normally operation of process, thereby can real-time analysis running state of a process and performance situation, and can there is abnormal situation according to comparison result prompting process, thereby solved in prior art the accurately problem of the running status of monitoring process, realized the effect of performance situation that can real-time analysis process, and can occur according to self-defining monitoring strategies automatic-prompting process abnormal, thereby can be according to the abnormal conditions of process operation, control operation system, stability with the operation of assurance system.
Obviously, those skilled in the art should be understood that, above-mentioned each module of the present invention or each step can realize with general calculation element, they can concentrate on single calculation element, or be distributed on the network that a plurality of calculation elements form, alternatively, they can be realized with the executable program code of calculation element, thereby, they can be stored in memory storage and be carried out by calculation element, or they are made into respectively to each integrated circuit modules, or a plurality of modules in them or step are made into single integrated circuit module to be realized.Like this, the present invention is not restricted to any specific hardware and software combination.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.
Claims (11)
1. a method for supervising for Windows process, is characterized in that, comprising:
Obtain the performance data of process;
Obtain the preset data corresponding with described performance data, wherein, described preset data is the data that characterize the normal operation of described process;
According to the comparison result of described performance data and described preset data, determine the whether normally operation of described process.
2. method for supervising according to claim 1, it is characterized in that, described performance data comprises: the working time of described process, described preset data comprises: default working time, according to the comparison result of described performance data and described preset data, determine that the whether normal step of described process comprises:
Detect the scope whether meet described default working time described working time;
In the situation that meet the scope of described default working time described working time, determine described process normal operation;
In the situation that do not meet the scope of described default working time described working time, determine described process operation exception.
3. method for supervising according to claim 1, it is characterized in that, described performance data comprises: the network flow data of described process, described preset data comprises: preset flow data, according to the comparison result of described performance data and described preset data, determine that the whether normal step of described process comprises:
Detect described network flow data and whether surpass described preset flow data;
In the situation that described network flow data surpasses described preset flow data, determine described process operation exception;
In the situation that described network flow data is no more than described preset flow data, determine described process normal operation.
4. method for supervising according to claim 1, it is characterized in that, described performance data comprises: the port of described process, and described preset data comprises: bundling port, according to the comparison result of described performance data and described preset data, determine that the whether normal step of described process comprises:
Whether unanimously with described bundling port detect described port;
In the situation that described port is consistent with described bundling port, determine described process normal operation;
In described port and the inconsistent situation of described bundling port, determine described process operation exception.
5. according to the method for supervising described in any one in claim 1 to 4, it is characterized in that, before obtaining the performance data of process, described method comprises:
Collect the described process that current system is moving;
Detect whether accesses network of described process;
In the situation that described process is accessed described network, collect the network information data of described process;
In the situation that described process is not accessed described network, collect the local information data of described process.
6. method for supervising according to claim 5, it is characterized in that, described performance data comprises: the network flow data of described network information data, destination IP and port, described performance data also comprises: the CPU usage data of described local information data, internal memory usage data and disk usage data.
7. a supervising device for Windows process, is characterized in that, comprising:
The first acquisition module, for obtaining the performance data of process;
The second acquisition module, for obtaining the preset data corresponding with described performance data, wherein, described preset data is the data that characterize the normal operation of described process;
Whether normally comparing module, for determining the operation of described process according to the comparison result of described performance data and described preset data.
8. supervising device according to claim 7, is characterized in that, described performance data comprises: the working time of described process, described preset data comprises: default working time, described comparing module comprises:
Whether time detecting module, meet the scope of described default working time for detection of described working time;
The first determination module, in the situation that meet the scope of described default working time described working time, determines described process normal operation;
The second determination module, in the situation that do not meet the scope of described default working time described working time, determines described process operation exception.
9. supervising device according to claim 7, is characterized in that, described performance data comprises: the network flow data of described process, and described preset data comprises: preset flow data, described comparing module comprises:
Whether flow detection module, surpass described preset flow data for detection of described network flow data;
The 3rd determination module, in the situation that described network flow data surpasses described preset flow data, determines described process operation exception;
The 4th determination module, in the situation that described network flow data is no more than described preset flow data, determines described process normal operation.
10. supervising device according to claim 7, is characterized in that, described performance data comprises: the port of described process, and described preset data comprises: bundling port, described comparing module comprises:
Whether port detecting module is consistent with described bundling port for detection of described port;
The 5th determination module, in the situation that described port is consistent with described bundling port, determines described process normal operation;
The 6th determination module, in described port and the inconsistent situation of described bundling port, determines described process operation exception.
11. according to the supervising device described in any one in claim 7 to 10, it is characterized in that, described device comprises:
Collection module, the described process of moving for collecting current system;
Access detection module, for detection of described process accesses network whether;
Network Information Gathering module, in the situation that described process is accessed described network, collects the network information data of described process;
Local information collection module, in the situation that described process is not accessed described network, collects the local information data of described process.
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| CN108268351B (en) * | 2016-12-30 | 2021-06-04 | 中国移动通信集团宁夏有限公司 | Method and system for accurately monitoring process running state |
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| CN108874618B (en) * | 2018-05-04 | 2022-03-18 | 平安科技（深圳）有限公司 | Cognos process monitoring method and device, computer equipment and storage medium |
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| CN108920326B (en) * | 2018-06-14 | 2022-04-29 | 创新先进技术有限公司 | Method and device for determining time-consuming abnormity of system and electronic equipment |
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