CN112506968A - Information aggregation method and device, electronic equipment and computer readable medium - Google Patents
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Abstract
The embodiment of the disclosure discloses an information aggregation method, an information aggregation device, an electronic device and a computer readable medium. One embodiment of the method comprises: acquiring each domain name certificate stored in a certificate monitoring client; inquiring whether target alarm information matched with the alarm information exists in a target alarm information queue or not based on the received alarm information; in response to determining that no warning information exists, adding warning information to the target warning information queue to update the target warning information queue; and in response to the fact that the current time is determined to be the due time of the target alarm information in the target alarm information queue, performing aggregation processing on the updated target alarm information queue to generate an aggregated target alarm information queue. This embodiment reduces the impact on subsequent information transmissions. Thus, the stability of information transmission is improved.
Description
Technical Field
Embodiments of the present disclosure relate to the field of computer technologies, and in particular, to an information aggregation method, an information aggregation apparatus, an electronic device, and a computer-readable medium.
Background
With the rapid development of internet technology, network security becomes especially important. In the process of information transmission, in order to ensure the normal synchronization of information, abnormal information generated during information transmission can be output in an alarm mode. At present, the abnormal information is generally output in an overall alarm mode.
However, when the abnormal information is output in the above manner, there are generally the following technical problems:
firstly, the output abnormal information is more, so that the abnormal information is easy to ignore by a user, the abnormal information representing the fault cannot be processed in time, the transmission efficiency of subsequent information is influenced, and the stability of information transmission is reduced;
secondly, the abnormal information cannot be accurately sent to the corresponding operation and maintenance terminal, so that the operation and maintenance terminal corresponding to the abnormal information cannot be quickly notified to correct the abnormal information representing the fault, the transmission efficiency of subsequent information is affected, and the stability of information transmission is further reduced.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure propose information aggregation methods, apparatuses, electronic devices, and computer readable media to solve one or more of the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide an information aggregation method, including: inquiring whether target alarm information matched with the alarm information exists in a target alarm information queue or not based on the received alarm information; in response to determining that the warning information does not exist, adding the warning information to the target warning information queue to update the target warning information queue; and in response to the fact that the current time is determined to be the due time of the target alarm information in the target alarm information queue, performing aggregation processing on the updated target alarm information queue to generate an aggregated target alarm information queue.
In a second aspect, some embodiments of the present disclosure provide an information aggregation apparatus, the apparatus comprising: the query unit is configured to query whether target alarm information matched with the alarm information exists in a target alarm information queue or not based on the received alarm information; an adding unit configured to add the warning information to the target warning information queue to update the target warning information queue in response to determining that the warning information does not exist; and the aggregation unit is configured to perform aggregation processing on the updated target alarm information queue to generate an aggregated target alarm information queue in response to determining that the current time is the due time of the target alarm information in the target alarm information queue.
In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in any of the implementations of the first aspect.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.
The above embodiments of the present disclosure have the following advantages: the stability of information transmission is improved by the information aggregation method of some embodiments of the present disclosure. Specifically, the reason why the stability of information transmission is not high is that: the output abnormal information is more, so that the abnormal information is easy to be ignored by users, the abnormal information representing faults cannot be processed in time, and the transmission efficiency of subsequent information is influenced. Based on this, first, the information aggregation method according to some embodiments of the present disclosure may query whether there is target alarm information matching the alarm information in the target alarm information queue based on the received alarm information. Therefore, whether the alarm information is added into the target alarm information queue or not can be determined. Then, in response to determining that the alarm information does not exist, adding the alarm information to the target alarm information queue to update the target alarm information queue. And finally, in response to the fact that the current time is determined to be the due time of the target alarm information in the target alarm information queue, performing aggregation processing on the updated target alarm information queue to generate an aggregated target alarm information queue. Thereby, the number of target warning information can be reduced. Furthermore, the user is prompted to reset the abnormal information in time according to the aggregated target alarm information, and the influence on subsequent information transmission is reduced. Thus, the stability of information transmission is improved.
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The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.
Fig. 1 is a schematic diagram of one application scenario of an information aggregation method of some embodiments of the present disclosure;
fig. 2 is a flow diagram of some embodiments of an information aggregation method according to the present disclosure;
FIG. 3 is a flow diagram of further embodiments of an information aggregation method according to the present disclosure;
FIG. 4 is a flow diagram of still further embodiments of information aggregation methods according to the present disclosure;
FIG. 5 is a flow chart of still further embodiments of information aggregation methods according to the present disclosure
Fig. 6 is a schematic structural diagram of some embodiments of an information aggregation apparatus according to the present disclosure;
FIG. 7 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic diagram of an application scenario of an information aggregation method according to some embodiments of the present disclosure.
In the application scenario of fig. 1, first, the computing device 101 may query whether there is target alert information 104 matching the alert information 102 in the target alert information queue 103 based on the received alert information 102. The computing device 101 may then, in response to determining that there is no alert information, add the alert information 102 to the target alert information queue 103 to update the target alert information queue 103. Finally, the computing device 101 may aggregate the updated target alert information queue 105 to generate an aggregated target alert information queue 106 in response to determining that the current time is the expiration time of the target alert information in the target alert information queue.
The computing device 101 may be hardware or software. When the computing device is hardware, it may be implemented as a distributed cluster composed of multiple servers or terminal devices, or may be implemented as a single server or a single terminal device. When the computing device is embodied as software, it may be installed in the hardware devices enumerated above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
It should be understood that the number of computing devices in FIG. 1 is merely illustrative. There may be any number of computing devices, as implementation needs dictate.
With continued reference to fig. 2, a flow 200 of some embodiments of an information aggregation method according to the present disclosure is shown. The information aggregation method comprises the following steps:
In some embodiments, an executing agent of the information aggregation method (e.g., the computing device 101 shown in fig. 1) may query whether target alarm information matching the alarm information exists in the target alarm information queue based on the received alarm information. Here, the alarm information may be abnormal information in the course of information transmission. Here, the alarm information may include, but is not limited to, at least one of: alarm tag name, alarm category, alarm attribute name, expiration time. The alarm tag name may be used to characterize the type of fault (e.g., hardware fault class, software fault class) to which the exception information corresponds. Here, the target alarm information may be alarm information to be transmitted. The target alert information may include, but is not limited to, at least one of: alarm tag name, alarm category, alarm attribute name, expiration time. In practice, it may be determined whether target alarm information having the same alarm category and alarm attribute name as the alarm information included in the alarm information exists in the target alarm information queue.
As an example, the alarm information may be [ alarm tag name: a software fault class; alarm tag name: a system; alarm category: a server is abnormal; alarm attribute name: 58.214.159.208, respectively; expiration time: 2020-12-08-12: 05]. The target alarm information queue may be { [ alarm tag name: a software fault class; alarm category: a server is abnormal; alarm attribute name: 58.214.159.118, respectively; expiration time: 2020-12-08-12: 02 ]; [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.52.com, respectively; expiration time: 2020-12-08-12: 01 ]; [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.54.com, respectively; expiration time: 2020-12-08-12: 02]}.
In some embodiments, the execution agent may add the alert information to the target alert information queue to update the target alert information queue in response to determining that the alert information does not exist. In practice, the executing agent may add the alarm information to the target alarm information queue to complete the update of the target alarm information queue.
As an example, the above-mentioned alarm information may be [ alarm tag name: a software fault class; alarm category: a server is abnormal; alarm attribute name: 58.214.159.208, respectively; expiration time: 2020-12-08-12: 05]. The target alarm information queue may be { [ alarm tag name: a software fault class; alarm category: a server is abnormal; alarm attribute name: 58.214.159.118, respectively; expiration time: 2020-12-08-12: 02 ]; [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.52.com, respectively; expiration time: 2020-12-08-12: 01 ]; [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.54.com, respectively; expiration time: 2020-12-08-12: 02]}. The above-mentioned alarm information may be added to the target alarm information queue, and the target alarm information queue is updated to { [ alarm tag name: a software fault class; alarm category: a server is abnormal; alarm attribute name: 58.214.159.118, respectively; expiration time: 2020-12-08-12: 02 ]; [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.52.com, respectively; expiration time: 2020-12-08-12: 01 ]; [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.54.com, respectively; expiration time: 2020-12-08-12: 02 ]; [ alarm tag name: a software fault class; alarm category: a server is abnormal; alarm attribute name: 58.214.159.208, respectively; expiration time: 2020-12-08-12: 05]}.
In some embodiments, in response to determining that the current time is the expiration time of the target alarm information in the target alarm information queue, the executing entity may perform aggregation processing on the updated target alarm information queue to generate an aggregated target alarm information queue. Here, the aggregation processing may be to input target alarm information of the same alarm category into a corpus template set in advance. In practice, the current time is the due time of any one target alarm information in the target alarm information queue, and the updated target alarm information queue can be subjected to aggregation processing to generate an aggregated target alarm information queue. In practice, the corpus template may be "alarm category, alarm attribute name, and maintenance group (alarm category) to perform maintenance in time".
As an example, the current time may be [ 2020-12-08-12: 01]. The updated target alarm information queue may be { [ alarm tag name: a software fault class; alarm category: a server is abnormal; alarm attribute name: 58.214.159.118, respectively; expiration time: 2020-12-08-12: 02 ]; [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.52.com, respectively; expiration time: 2020-12-08-12: 01 ]; [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.54.com, respectively; expiration time: 2020-12-08-12: 02 ]; [ alarm tag name: a software fault class; alarm category: a server is abnormal; alarm attribute name: 58.214.159.208, respectively; expiration time: 2020-12-08-12: 05]}. Therefore, aggregation processing can be carried out on the updated target alarm information queue to generate an aggregated target alarm information queue { [ the alarm category is server abnormal, the alarm attribute names are 58.214.159.118 and 58.214.159.208, and the server abnormal maintenance group is requested to maintain in time ]; [ alarm category is domain name abnormal, alarm attribute names are www.52.com, www.54.com, please maintain the group in time for domain name abnormal maintenance ] }.
The above embodiments of the present disclosure have the following advantages: the stability of information transmission is improved by the information aggregation method of some embodiments of the present disclosure. Specifically, the reason why the stability of information transmission is not high is that: the output abnormal information is more, so that the abnormal information is easy to be ignored by users, the abnormal information representing faults cannot be processed in time, and the transmission efficiency of subsequent information is influenced. Based on this, first, the information aggregation method according to some embodiments of the present disclosure may query whether there is target alarm information matching the alarm information in the target alarm information queue based on the received alarm information. Therefore, whether the alarm information is added into the target alarm information queue or not can be determined. Then, in response to determining that the alarm information does not exist, adding the alarm information to the target alarm information queue to update the target alarm information queue. And finally, in response to the fact that the current time is determined to be the due time of the target alarm information in the target alarm information queue, performing aggregation processing on the updated target alarm information queue to generate an aggregated target alarm information queue. Thereby, the number of target warning information can be reduced. Furthermore, the user is prompted to reset the abnormal information in time according to the aggregated target alarm information, and the influence on subsequent information transmission is reduced. Thus, the stability of information transmission is improved.
With further reference to fig. 3, a flow diagram of further embodiments of an information aggregation method according to the present disclosure is shown. The information aggregation method comprises the following steps:
In some embodiments, the execution main body may obtain the alarm information sent by each monitoring system from the terminal in a wired connection manner or a wireless connection manner, so as to obtain an alarm information set. The alarm information may include an alarm category. In practice, the monitoring system may be a client corresponding to the alarm category. As an example, the alarm information set may be { [ alarm tag name: a software fault class; alarm category: a server is abnormal; alarm attribute name: 58.214.159.118, respectively; expiration time: 2020-12-08-12: 02 ]; [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.52.com, respectively; expiration time: 2020-12-08-12: 01 ]; [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.54.com, respectively; expiration time: 2020-12-08-12: 02 ]; [ alarm tag name: a software fault class; alarm category: a server is abnormal; alarm attribute name: 58.214.159.118, respectively; expiration time: 2020-12-08-12: 02 ]; [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.52.com, respectively; expiration time: 2020-12-08-12: 01 ]; [ alarm tag name: a software fault class; alarm category: updating the configuration; alarm attribute name: www.54.com, respectively; expiration time: 2020-12-08-12: 02]}.
In some embodiments, the executing entity may execute the following processing steps for the alarm category included in each alarm information in the alarm information set:
the method comprises the first step of determining whether a preset alarm category matched with an alarm category included in alarm information exists in a preset alarm category group.
In practice, the preset alarm category may be a preset category to be alarmed. The preset alarm category group may be: [ server abnormality ]; [ Domain name Exception ]. The matching preset alarm categories may refer to the same alarm categories.
And step two, in response to the fact that the preset alarm category matched with the alarm category exists, determining the alarm information corresponding to the alarm category as alternative alarm information.
In practice, in response to determining that there is an alarm category [ alarm category: server exception ] the same preset alarm category [ server exception ], the alarm category [ alarm category: server exception ] corresponding alarm information [ alarm category: a server is abnormal; alarm attribute name: 58.214.159.118, respectively; expiration time: 2020-12-08-12: 02] is determined as alternative alarm information.
In some embodiments, the execution main body may perform deduplication processing on the generated candidate alarm information, and obtain a deduplicated candidate alarm information group as a target alarm information queue. In practice, the determined alternative alarm information may be { [ alarm tag name: a software fault class; alarm category: a server is abnormal; alarm attribute name: 58.214.159.118, respectively; expiration time: 2020-12-08-12: 02 ]; [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.52.com, respectively; expiration time: 2020-12-08-12: 01 ]; [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.54.com, respectively; expiration time: 2020-12-08-12: 02 ]; [ alarm tag name: a software fault class; alarm category: a server is abnormal; alarm attribute name: 58.214.159.118, respectively; expiration time: 2020-12-08-12: 02 ]; [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.52.com, respectively; expiration time: 2020-12-08-12: 01]}. And carrying out duplication elimination processing on the generated alternative alarm information to obtain an alternative alarm information group subjected to duplication elimination as a target alarm information queue { [ alarm tag name: a software fault class; alarm category: a server is abnormal; alarm attribute name: 58.214.159.118, respectively; expiration time: 2020-12-08-12: 02 ]; [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.52.com, respectively; expiration time: 2020-12-08-12: 01 ]; [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.54.com, respectively; expiration time: 2020-12-08-12: 02]}.
As can be seen from fig. 3, compared with the description of some embodiments corresponding to fig. 2, the process 300 of the information aggregation method in some embodiments corresponding to fig. 3 may remove the alarm information that does not conform to the alarm category and remove the repeated alarm information, thereby reducing the output of invalid alarm information and solving the problem of more invalid alarm information. Therefore, the user can browse and process the alarm information conveniently.
With further reference to fig. 4, still further embodiments of information aggregation methods according to the present disclosure are illustrated. The information aggregation method comprises the following steps:
In some embodiments, the specific implementation and technical effects of steps 401 and 402 can refer to steps 201 and 202 in the embodiments corresponding to fig. 2, and are not described herein again.
In some embodiments, the execution subject may perform deduplication processing on each alarm category included in the updated target alarm information queue to obtain a deduplication alarm category group. In practice, the updated target alarm information queue may be { [ alarm tag name: a software fault class; alarm category: a server is abnormal; alarm attribute name: 58.214.159.118, respectively; expiration time: 2020-12-08-12: 02 ]; [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.52.com, respectively; expiration time: 2020-12-08-12: 01 ]; [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.54.com, respectively; expiration time: 2020-12-08-12: 02 ]; [ alarm tag name: a software fault class; alarm category: a server is abnormal; alarm attribute name: 58.214.159.208, respectively; expiration time: 2020-12-08-12: 05]}. Carrying out duplication elimination treatment on each alarm category included in the updated target alarm information queue to obtain a duplication elimination alarm category group: [ server abnormality ]; [ Domain name Exception ].
In some embodiments, the execution subject may perform, for each duplicate removal alarm category in the duplicate removal alarm category group, aggregation processing on at least one target alarm information corresponding to the duplicate removal alarm category based on an alarm attribute name corresponding to the duplicate removal alarm category to generate at least one aggregated target alarm information. Here, the alarm attribute name may be used as a primary key to perform aggregation processing on at least one target alarm information corresponding to the deduplication alarm category to generate at least one aggregated target alarm information. Here, the aggregation processing may be to input at least one target alarm information corresponding to the duplicate removal alarm category into a corpus template that is preset and has an alarm attribute name as a primary key. In practice, the corpus template with the alarm attribute name as the primary key may be "the alarm attribute name, the alarm category maintenance group performs maintenance in time".
As an example, the above-mentioned duplicate removal alarm category group may be: [ server abnormality ]; [ Domain name Exception ]. The target alarm information corresponding to the deduplication alarm category [ server exception ] may be { [ alarm tag name: a software fault class; alarm category: a server is abnormal; alarm attribute name: 58.214.159.118, respectively; expiration time: 2020-12-08-12: 02 ]; [ alarm tag name: a software fault class; alarm category: a server is abnormal; alarm attribute name: 58.214.159.208, respectively; expiration time: 2020-12-08-12: 05]}. The alarm tag name can be set for { [ alarm tag name: a software fault class; alarm category: a server is abnormal; alarm attribute name: 58.214.159.118, respectively; expiration time: 2020-12-08-12: 02 ]; [ alarm tag name: a software fault class; alarm category: a server is abnormal; alarm attribute name: 58.214.159.208, respectively; expiration time: 2020-12-08-12: 05] to generate aggregate target alarm information (the name of the alarm attribute is 58.214.159.208, please maintain the server abnormal maintenance group in time) and aggregate target alarm information (the name of the alarm attribute is 58.214.159.118, please maintain the server abnormal maintenance group in time). The target alarm information corresponding to the deduplication alarm category [ domain name anomaly ] may be [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.52.com, respectively; expiration time: 2020-12-08-12: 01 ]; [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.54.com, respectively; expiration time: 2020-12-08-12: 02]. The alarm tag name may be set to [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.52.com, respectively; expiration time: 2020-12-08-12: 01 ]; [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.54.com, respectively; expiration time: 2020-12-08-12: 02] performing aggregation processing to generate aggregated target alarm information [ the alarm attribute name is www.52.com, please maintain the abnormal domain name maintenance group in time ] and aggregated target alarm information [ the alarm attribute name is www.54.com, please maintain the abnormal domain name maintenance group in time ].
In some embodiments, the executing entity may perform a marking process on each aggregated target warning information in the aggregated target warning information queue to generate marked aggregated target warning information as readability warning information, so as to obtain the readability warning information queue. Here, the marking process may be to obtain an alarm address name corresponding to the aggregation target alarm information from a preset configuration management database, and then mark the aggregation target alarm information with the corresponding alarm address name. Here, the alarm address name may be an address name that characterizes a failure corresponding to the alarm information.
As an example, the aggregation target alarm information queue may be { [ the alarm attribute name is 58.214.159.208, please maintain the abnormal server maintenance group in time ]; [ alarm attribute name 58.214.159.118, please maintain in time for server abnormal maintenance group ]; [ alarm attribute name is www.52.com, please maintain the abnormal domain name maintenance group in time ]; [ alarm attribute name is www.54.com, please maintain the abnormal domain name maintenance group in time ] }. The aggregated target alert information [ alert attribute name 58.214.159.208, please the server exception maintenance group to maintain in time ] may be tagged with an alert address name [1346388 ]. The aggregated target alert information [ alert attribute name 58.214.159.118, please the server exception maintenance group to maintain in time ] may be tagged with an alert address name [1346389 ]. The alarm address name 10.1.1.172 may be tagged with the aggregated target alarm information [ the alarm attribute name is www.52.com, please maintain the abnormal domain name maintenance group in time ]. The alarm address name 10.1.1.272 may be tagged with the aggregated target alarm information [ the alarm attribute name is www.54.com, please maintain the abnormal domain name maintenance group in time ]. Obtaining a readability warning information queue { [ warning attribute name is 58.214.159.208, please maintain the abnormal server maintenance group in time ] - [1346388 ]; [ alarm attribute name 58.214.159.118, please maintain in time for server abnormal maintenance group ] - [1346389 ]; [ alarm attribute name www.52.com, please maintain the abnormal domain name maintenance group in time ] - [10.1.1.172 ]; [ alarm attribute name is www.54.com, please maintain the abnormal domain name maintenance group in time ] - [10.1.1.272] }.
The related content of step 405 is an inventive point of the present disclosure, and solves a second technical problem mentioned in the background art, that is, the abnormal information cannot be accurately sent to the corresponding operation and maintenance terminal, so that the operation and maintenance terminal corresponding to the abnormal information cannot be quickly notified to correct the abnormal information representing the fault, which affects the transmission efficiency of the subsequent information, and further reduces the stability of information transmission. The influence factors that lead to the low stability of information transmission are often as follows: the abnormal information cannot be accurately sent to the corresponding operation and maintenance terminal, so that the operation and maintenance terminal corresponding to the abnormal information cannot be quickly notified to correct the abnormal information representing the fault, and the transmission efficiency of subsequent information is affected. If the above-mentioned factors are solved, the effect of improving the stability of information transmission can be achieved. In order to achieve the effect, the method obtains the alarm address name corresponding to the aggregation target alarm information from the preset configuration management database, and then marks the corresponding alarm address name on the aggregation target alarm information. Therefore, the client (operation and maintenance end, namely the client where the user is located) corresponding to the alarm information (abnormal information) can be determined according to the alarm attribute name and the alarm address name. Therefore, the operation and maintenance terminal corresponding to the abnormal information can be quickly informed to correct the fault represented by the alarm information, and the influence on subsequent information transmission is reduced. Thus, the stability of information transmission is improved.
As can be seen from fig. 4, compared with the description of some embodiments corresponding to fig. 2, the flow 400 of the information aggregation method in some embodiments corresponding to fig. 4 may quickly notify the operation and maintenance end corresponding to the abnormal information to correct the alarm information. Furthermore, the influence on subsequent information transmission is reduced, and the stability of information transmission is improved.
With further reference to fig. 5, still further embodiments of information aggregation methods according to the present disclosure are illustrated. The information aggregation method comprises the following steps:
In some embodiments, the specific implementation and technical effects of steps 501 and 502 may refer to steps 201 and 202 in the embodiments corresponding to fig. 2, and are not described herein again.
In some embodiments, in response to determining that the target alarm information queue exists, the execution subject may perform a level marking on the target alarm information in the target alarm information queue that matches the alarm information to update the target alarm information queue. Here, the level flag may be a flag of urgency of the alarm information (e.g., level one > level two > … …). For example, the target alarm information queue may be { [ alarm tag name: a software fault class; alarm category: a server is abnormal; alarm attribute name: 58.214.159.118, respectively; expiration time: 2020-12-08-12: 02 ]; [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.52.com, respectively; expiration time: 2020-12-08-12: 01 ]; [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.54.com, respectively; expiration time: 2020-12-08-12: 02]}. The alarm information may be [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.54.com, respectively; expiration time: 2020-12-08-12: 02]. The target alarm information [ alarm tag name: a software fault class; alarm category: the domain name is abnormal; alarm attribute name: www.54.com, respectively; expiration time: 2020-12-08-12: 02] marked as first order.
In some embodiments, the specific implementation of step 504 and the technical effect brought by the implementation may refer to step 203 in those embodiments corresponding to fig. 2, which are not described herein again.
As can be seen from fig. 5, compared with the description of some embodiments corresponding to fig. 2, the flow 500 of the information aggregation method in some embodiments corresponding to fig. 5 may perform level marking on the repeated alarm information, so as to remind the user to correct the alarm information in time.
With further reference to fig. 6, as an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of an information aggregation apparatus, which correspond to those of the method embodiments shown in fig. 2, and which may be applied in various electronic devices in particular.
As shown in fig. 6, the information aggregating apparatus 600 of some embodiments includes: a query unit 601, an add unit 602, and an aggregate unit 603. The query unit 601 is configured to query whether target alarm information matching the alarm information exists in a target alarm information queue based on the received alarm information; the adding unit 602 is configured to add the alarm information to the target alarm information queue to update the target alarm information queue in response to determining that the alarm information does not exist; the aggregation unit 603 is configured to aggregate the updated target warning information queue to generate an aggregated target warning information queue in response to determining that the current time is the expiration time of the target warning information in the target warning information queue.
In some optional implementations of some embodiments, the information aggregating apparatus 600 further includes: acquiring alarm information sent by each monitoring system to obtain an alarm information set, wherein the alarm information comprises alarm categories; for the alarm category included in each alarm information in the alarm information set, executing the following processing steps: determining whether a preset alarm category matched with the alarm category included in the alarm information exists in a preset alarm category group; and in response to determining that the preset alarm category matched with the alarm category exists, determining the alarm information corresponding to the alarm category as alternative alarm information.
In some optional implementations of some embodiments, the information aggregating apparatus 600 further includes: and carrying out duplication elimination processing on the determined alternative alarm information to obtain an alternative alarm information group subjected to duplication elimination as a target alarm information queue.
In some optional implementations of some embodiments, the information aggregating apparatus 600 further includes: and in response to determining that the target alarm information queue exists, marking the target alarm information matched with the alarm information in the target alarm information queue so as to update the target alarm information queue.
In some optional implementations of some embodiments, the information aggregating apparatus 600 further includes: and marking each aggregated target alarm information in the aggregated target alarm information queue to generate marked aggregated target alarm information as readability alarm information, and obtaining the readability alarm information queue.
In some optional implementations of some embodiments, the information aggregating apparatus 600 further includes: and sending each readability alarm information in the readability alarm information queue to a client corresponding to each readability alarm information for a user to browse.
In some optional implementations of some embodiments, the target alarm information includes an alarm attribute name.
In some optional implementations of some embodiments, the aggregation unit 603 of the information aggregation apparatus 600 may be further configured to: carrying out duplication elimination processing on each alarm category included in the updated target alarm information queue to obtain a duplication elimination alarm category group; and for each duplicate removal alarm category in the duplicate removal alarm category group, performing aggregation processing on at least one target alarm information corresponding to the duplicate removal alarm category based on the alarm attribute name corresponding to the duplicate removal alarm category to generate at least one aggregated target alarm information.
It will be understood that the elements described in the apparatus 600 correspond to various steps in the method described with reference to fig. 2. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 600 and the units included therein, and are not described herein again.
Referring now to FIG. 7, a block diagram of an electronic device (e.g., computing device 101 of FIG. 1)700 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device in some embodiments of the present disclosure may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle-mounted terminal (e.g., a car navigation terminal), and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like. The electronic device shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 7, electronic device 700 may include a processing means (e.g., central processing unit, graphics processor, etc.) 701 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)702 or a program loaded from storage 708 into a Random Access Memory (RAM) 703. In the RAM703, various programs and data necessary for the operation of the electronic apparatus 700 are also stored. The processing device 701, the ROM 702, and the RAM703 are connected to each other by a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
Generally, the following devices may be connected to the I/O interface 705: input devices 706 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 707 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 708 including, for example, magnetic tape, hard disk, etc.; and a communication device 709. The communication means 709 may allow the electronic device 700 to communicate wirelessly or by wire with other devices to exchange data. While fig. 7 illustrates an electronic device 700 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 7 may represent one device or may represent multiple devices as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network via communications means 709, or may be installed from storage 708, or may be installed from ROM 702. The computer program, when executed by the processing device 701, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: inquiring whether target alarm information matched with the alarm information exists in a target alarm information queue or not based on the received alarm information; in response to determining that the warning information does not exist, adding the warning information to the target warning information queue to update the target warning information queue; and in response to the fact that the current time is determined to be the due time of the target alarm information in the target alarm information queue, performing aggregation processing on the updated target alarm information queue to generate an aggregated target alarm information queue.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor includes a query unit, an addition unit, and an aggregation unit. The names of these units do not form a limitation to the unit itself under certain circumstances, for example, the query unit may also be described as "a unit that queries whether target alarm information matching the alarm information exists in the target alarm information queue based on the received alarm information".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (10)
1. An information aggregation method, comprising:
inquiring whether target alarm information matched with the alarm information exists in a target alarm information queue or not based on the received alarm information;
in response to determining that the alert information does not exist, adding the alert information to the target alert information queue to update the target alert information queue;
and in response to the fact that the current time is determined to be the due time of the target alarm information in the target alarm information queue, performing aggregation processing on the updated target alarm information queue to generate an aggregated target alarm information queue.
2. The method of claim 1, wherein prior to said querying a target alert information queue for presence of target alert information matching the alert information based on the received alert information, the method further comprises:
acquiring alarm information sent by each monitoring system to obtain an alarm information set, wherein the alarm information comprises alarm categories;
for the alarm category included in each alarm information in the alarm information set, executing the following processing steps:
determining whether a preset alarm category matched with the alarm category included in the alarm information exists in a preset alarm category group;
and in response to the fact that the preset alarm category matched with the alarm category exists, determining the alarm information corresponding to the alarm category as alternative alarm information.
3. The method of claim 2, wherein prior to said querying a target alert information queue for presence of target alert information matching the alert information based on the received alert information, the method further comprises:
and carrying out duplication elimination processing on the determined alternative alarm information to obtain an alternative alarm information group subjected to duplication elimination as a target alarm information queue.
4. The method of claim 1, wherein prior to the aggregating the updated target alert information queue to generate an aggregated target alert information queue in response to determining that the current time is the expiration time of the target alert information in the target alert information queue, the method further comprises:
and in response to determining that the target alarm information queue exists, marking the target alarm information matched with the alarm information in the target alarm information queue to update the target alarm information queue.
5. The method of claim 2, wherein the target alert information includes an alert attribute name; and
the aggregating the updated target alarm information queue to generate an aggregated target alarm information queue includes:
carrying out duplication elimination processing on each alarm category included in the updated target alarm information queue to obtain a duplication elimination alarm category group;
and for each duplicate removal alarm category in the duplicate removal alarm category group, performing aggregation processing on at least one target alarm information corresponding to the duplicate removal alarm category based on the alarm attribute name corresponding to the duplicate removal alarm category to generate at least one aggregated target alarm information.
6. The method of claim 1, wherein the method further comprises:
and marking each aggregated target alarm information in the aggregated target alarm information queue to generate marked aggregated target alarm information as readability alarm information, and obtaining the readability alarm information queue.
7. The method of claim 6, wherein the method further comprises:
and sending each readability alarm information in the readability alarm information queue to a client corresponding to each readability alarm information for a user to browse.
8. An information aggregation apparatus, comprising:
the query unit is configured to query whether target alarm information matched with the alarm information exists in a target alarm information queue or not based on the received alarm information;
an adding unit configured to add the alarm information to the target alarm information queue to update the target alarm information queue in response to determining that the alarm information does not exist;
and the aggregation unit is configured to perform aggregation processing on the updated target alarm information queue to generate an aggregated target alarm information queue in response to determining that the current time is the due time of the target alarm information in the target alarm information queue.
9. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
10. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115473785A (en) * | 2022-05-30 | 2022-12-13 | 北京罗克维尔斯科技有限公司 | Alarm information processing method and device, electronic equipment and storage medium |
| CN115689444A (en) * | 2022-10-25 | 2023-02-03 | 国网物资有限公司 | Automatic logistics monitoring method, device, equipment and medium based on historical cases |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105991337A (en) * | 2015-03-02 | 2016-10-05 | ***通信集团广东有限公司 | Alarm compression method and alarm compression device |
| CN107124298A (en) * | 2017-03-31 | 2017-09-01 | 北京奇艺世纪科技有限公司 | Alert aggregation method and system |
| US20180167407A1 (en) * | 2015-06-26 | 2018-06-14 | Nec Corporation | Information processing device, information processing system, information processing method, and storage medium |
| CN110245056A (en) * | 2019-06-10 | 2019-09-17 | 中国工商银行股份有限公司 | O&M alarm information processing method and device |
| CN110661659A (en) * | 2019-09-23 | 2020-01-07 | 上海艾融软件股份有限公司 | Alarm method, device and system and electronic equipment |
| CN110730100A (en) * | 2019-10-21 | 2020-01-24 | 中国民航信息网络股份有限公司 | Alarm information processing method and device and server |
-
2020
- 2020-12-10 CN CN202011437669.9A patent/CN112506968A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105991337A (en) * | 2015-03-02 | 2016-10-05 | ***通信集团广东有限公司 | Alarm compression method and alarm compression device |
| US20180167407A1 (en) * | 2015-06-26 | 2018-06-14 | Nec Corporation | Information processing device, information processing system, information processing method, and storage medium |
| CN107124298A (en) * | 2017-03-31 | 2017-09-01 | 北京奇艺世纪科技有限公司 | Alert aggregation method and system |
| CN110245056A (en) * | 2019-06-10 | 2019-09-17 | 中国工商银行股份有限公司 | O&M alarm information processing method and device |
| CN110661659A (en) * | 2019-09-23 | 2020-01-07 | 上海艾融软件股份有限公司 | Alarm method, device and system and electronic equipment |
| CN110730100A (en) * | 2019-10-21 | 2020-01-24 | 中国民航信息网络股份有限公司 | Alarm information processing method and device and server |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115473785A (en) * | 2022-05-30 | 2022-12-13 | 北京罗克维尔斯科技有限公司 | Alarm information processing method and device, electronic equipment and storage medium |
| CN115473785B (en) * | 2022-05-30 | 2024-02-27 | 北京罗克维尔斯科技有限公司 | Alarm information processing method and device, electronic equipment and storage medium |
| CN115689444A (en) * | 2022-10-25 | 2023-02-03 | 国网物资有限公司 | Automatic logistics monitoring method, device, equipment and medium based on historical cases |
| CN115689444B (en) * | 2022-10-25 | 2023-06-13 | 国网物资有限公司 | Logistics automatic monitoring method, device, equipment and medium based on historical cases |
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