CN111224813A - Intelligent network analysis system - Google Patents
Intelligent network analysis system Download PDFInfo
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- CN111224813A CN111224813A CN201911091450.5A CN201911091450A CN111224813A CN 111224813 A CN111224813 A CN 111224813A CN 201911091450 A CN201911091450 A CN 201911091450A CN 111224813 A CN111224813 A CN 111224813A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
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Abstract
The invention relates to the technical field of communication, in particular to an intelligent network analysis system, which comprises a data integration module, a data analysis module and a data analysis module, wherein the data integration module is used for collecting external events; the event preprocessing and caching module is used for accessing and processing the events acquired by the data integration module, converting external data source events into a management platform alarm model and performing access integration through real-time caching; the event database is used for storing the events processed by the event preprocessing and caching module; the event processing module is used for providing a definable processing rule engine and a processing flow engine and executing real-time and periodic further automatic processing on the events processed by the event preprocessing and caching module; the event console is used for facing system users and providing the capabilities of basic operation, analysis processing and personalized customization of events.
Description
Technical Field
The invention relates to the technical field of communication, in particular to an intelligent network analysis system.
Background
The college network is built for years, a relatively complete supervision and control system framework is formed, various professional tools are used in various management fields, and the mode has the advantages that the professional performance of a management platform is high, and the deep management and control of various fields are realized. However, the network platform has a complex structure, strong heterogeneity, dispersed data, non-uniform indexes, difficult management and too many invalid alarms, and meanwhile, the current system causes network management personnel to be unable to visually and effectively know the overall operation states of the overall service, application, network, system and the like, lacks effective cross-field fault diagnosis means, has high time consumption when judging the fault source, and in addition, the monitoring is taken as a part of the overall operation and maintenance management platform, and is unable to be effectively integrated with the systems of flow, automation and the like.
The specific problems are shown in the following aspects:
(1) the network structure is complex;
(2) wireless and wireless networks cannot be visually managed;
(3) the method has the defects of lack of event correlation analysis and low fault source positioning speed;
(4) a comprehensive and visual operation and maintenance management view is lacked;
(5) lack of efficient uniform resources and configuration management;
(6) and a uniform network analysis management platform is lacked, and the requirements of active management and centralized management are difficult to adapt.
Disclosure of Invention
In view of the defects of the prior art, the invention provides an intelligent network analysis system, which establishes an integral operation and maintenance platform system, thereby realizing the comprehensive management and control of the end-to-end running state of the network visualization, analysis, management, system and application business, realizing the data processing and correlation analysis in the cross-technical field and improving the efficiency of the network comprehensive management.
In order to achieve the above object, in one aspect, the present invention provides an intelligent network analysis system, which includes a data integration module, an event preprocessing and caching module, an event database, an event processing module, an event console, and a management module;
the data integration module is used for collecting external events;
the event preprocessing and caching module is used for accessing and processing the events acquired by the data integration module, converting external data source events into a management platform alarm model and performing access integration through real-time caching;
the event database is used for storing the events processed by the event preprocessing and caching module;
the event processing module is used for providing a definable processing rule engine and a processing flow engine and executing real-time and periodic further automatic processing on the events processed by the event preprocessing and caching module;
the event console is used for providing basic operation, analysis processing and personalized customization capabilities for the system user;
and the management module is used for facing a system administrator and providing the functions of event classification and index management, monitoring configuration management, external interface management, event processing strategy management, user and security management, user view management, data structure and dictionary management.
Based on the technical scheme, the event processing platform acquires the events generated by the event source from the data integration platform in real time, the events are processed in real time and then stored in the database in a unified manner, the event data in the database are automatically analyzed and processed according to rules, interface integration is realized with an external processing tool, and the action of the processing tool is triggered according to strategies or people, so that the goal of integrated processing is achieved.
On the other hand, the technical scheme of the invention provides an intelligent network analysis method, which comprises the specific steps of collecting partial events by using a data integration module; the event preprocessing and caching module acquires the events collected by the data integration module in real time to perform event access processing, converts external data source events into a management platform alarm model, performs access integration through real-time caching, stores the management platform alarm model in an event database, transmits the preprocessed data to the event processing module, provides a definable processing rule engine and a processing flow engine, and performs real-time and periodic further automatic processing on the events processed by the event preprocessing and caching module.
It should be noted that the automated processing of the event processing module includes event standardization, event pre-filtering, event content processing, event compression, event suppression, and event notification.
It should be noted that the event standardization is specifically defined by a mapping table, event field content is standardized, and key fields include a severity level, an object identifier, and an index identifier.
It should be noted that the event pre-filtering specifically includes pre-filtering the event before warehousing, filtering the event that does not meet the basic requirement by the definition of the filtering rule, and storing the event into an error log for archiving.
It should be noted that the event content is processed to increase related data field information on the basis of the received original event content; the method specifically comprises the step of obtaining the detailed description content of the department, personnel and application of the event and indexes by associating with an external data source, so that the content of the event in the preprocessing stage is rich.
Preferably, the associated external data includes a configuration information table and a monitoring index information table.
When the same event repeatedly occurs, the event compression compresses the newly occurring event; the method specifically comprises the steps of automatically completing specific compression mark filling of specific events according to event strategy definition, carrying out compression processing on the events with the same compression marks, enabling repeated events not to generate new records, updating partial event fields according to rules, and accumulating counters.
The event suppression is to perform suppression operation on the event after warehousing; specifically, the event adapter manages in a change maintenance period according to the event strategy definition, automatically updates the event suppression mark, and the event engine can archive the new warehousing event in the history according to the mark.
The event notification is a notification that notifies the manager that the event notification condition is satisfied; specifically, a notification rule table and contact information are loaded when an event processing module is initialized, and events meeting notification conditions are sent to a communication platform according to an agreed message format through rule definition.
Further, the automated processing of the event processing module further includes event upgrading and downgrading, automatic recovery of events, recovery of maintenance period, event correlation analysis, automatic work order, and triggering of external processing tools.
It should be noted that the event upgrading and downgrading is to trigger automatic upgrading and downgrading operation when an event is put in storage or after the event has a specific time period and is not processed yet; specifically, the event upgrading and downgrading operation is completed by the event real-time library and the event processing engine together, the new warehousing event can be directly upgraded and downgraded by the event processing engine, and for the operation which needs to be triggered after the event is warehoused for a period of time, a trigger of the event real-time library sends a processing signal to complete processing.
It should be noted that the event automatic recovery means receiving an event state update from a monitoring data source or an external tool and completing an event recovery or update operation in real time; specifically, according to the event policy definition, the recovery or update operation indicated by the status update message is executed for the event of the specific event indication or sequence number.
It should be noted that the recovery of the maintenance period is to trigger an automatic recovery action when the maintenance period is over, recover the still existing alarm and trigger a corresponding processing flow; the specific method is that when the definition of the maintenance period is finished, a time signal trigger is defined, a single event processing engine receives a trigger signal, and according to the definition of an event strategy, for specific events pressed in the maintenance period, such as simulation transaction, polling indexes and other periodic acquisition indexes, if the specific events are still not recovered to a normal state, an alarm is generated to trigger a normal processing flow.
It should be noted that, the event correlation analysis is to automatically distinguish the root event and the appearance event for various alarm events occurring in the same time window; the method specifically comprises the steps that an event processing engine is integrated with a business influence analysis platform, the event after being stored in a warehouse is sent to a business influence analysis interface in real time, and an analysis result returned by the business influence analysis platform is received and stored in an event association relation table.
It should be noted that the automatic work order refers to a work order for automatically generating an event flow for a specific event, specifically, according to the event policy definition, an automatic form creation operation is performed for the specific event meeting the conditions of the automatic work order, and a mandatory field of the event is obtained and sent to the flow management platform through an external integrated interface.
It should be noted that triggering the external processing tool refers to triggering a corresponding scenario by a specific event, specifically, according to the event policy definition, executing an automation action on the specific event meeting the automation scenario definition, acquiring a mandatory field of the event, and sending the mandatory field to the external automation processing tool through the external integration interface.
The invention has the beneficial effects that: the data processing is more efficient, the event correlation analysis function is realized, a large amount of repeated time processing is avoided, and the analysis processing efficiency of the network analysis system is higher.
Drawings
FIG. 1 is a flow chart of the operation of the present invention;
FIG. 2 is a flow diagram of automated processing by the event processing module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
An intelligent network analysis system comprises a data integration module, an event preprocessing and caching module, an event database, an event processing module, an event console and a management module;
the data integration module is used for collecting external events;
the event preprocessing and caching module is used for accessing and processing the events acquired by the data integration module, converting external data source events into a management platform alarm model and performing access integration through real-time caching;
the event database is used for storing the events processed by the event preprocessing and caching module;
the event processing module is used for providing a definable processing rule engine and a processing flow engine and executing real-time and periodic further automatic processing on the events processed by the event preprocessing and caching module;
the event console is used for providing basic operation, analysis processing and personalized customization capabilities for the system user;
and the management module is used for facing a system administrator and providing the functions of event classification and index management, monitoring configuration management, external interface management, event processing strategy management, user and security management, user view management, data structure and dictionary management.
Based on the technical scheme, the event processing platform acquires the events generated by the event source from the data integration platform in real time, the events are processed in real time and then stored in the database in a unified manner, the event data in the database are automatically analyzed and processed according to rules, interface integration is realized with an external processing tool, and the action of the processing tool is triggered according to strategies or people, so that the goal of integrated processing is achieved.
An intelligent network analysis method, its concrete method is to utilize the data integration module to collect the partial event; the event preprocessing and caching module acquires the events collected by the data integration module in real time to perform event access processing, converts external data source events into a management platform alarm model, performs access integration through real-time caching, stores the management platform alarm model in an event database, transmits the preprocessed data to the event processing module, provides a definable processing rule engine and a processing flow engine, and performs real-time and periodic further automatic processing on the events processed by the event preprocessing and caching module.
It should be noted that the automated processing of the event processing module includes event standardization, event pre-filtering, event content processing, event compression, event suppression, and event notification.
It should be noted that the event standardization is specifically defined by a mapping table, event field content is standardized, and key fields include a severity level, an object identifier, and an index identifier.
It should be noted that the event pre-filtering specifically includes pre-filtering the event before warehousing, filtering the event that does not meet the basic requirement by the definition of the filtering rule, and storing the event into an error log for archiving.
It should be noted that the event content is processed to increase related data field information on the basis of the received original event content; the method specifically comprises the step of obtaining the detailed description content of the department, personnel and application of the event and indexes by associating with an external data source, so that the content of the event in the preprocessing stage is rich.
Preferably, the associated external data includes a configuration information table and a monitoring index information table.
When the same event repeatedly occurs, the event compression compresses the newly occurring event; the method specifically comprises the steps of automatically completing specific compression mark filling of specific events according to event strategy definition, carrying out compression processing on the events with the same compression marks, enabling repeated events not to generate new records, updating partial event fields according to rules, and accumulating counters.
The event suppression is to perform suppression operation on the event after warehousing; specifically, the event adapter manages in a change maintenance period according to the event strategy definition, automatically updates the event suppression mark, and the event engine can archive the new warehousing event in the history according to the mark.
The event notification is a notification that notifies the manager that the event notification condition is satisfied; specifically, a notification rule table and contact information are loaded when an event processing module is initialized, and events meeting notification conditions are sent to a communication platform according to an agreed message format through rule definition.
Further, the automated processing of the event processing module further includes event upgrading and downgrading, automatic recovery of events, recovery of maintenance period, event correlation analysis, automatic work order, and triggering of external processing tools.
It should be noted that the event upgrading and downgrading is to trigger automatic upgrading and downgrading operation when an event is put in storage or after the event has a specific time period and is not processed yet; specifically, the event upgrading and downgrading operation is completed by the event real-time library and the event processing engine together, the new warehousing event can be directly upgraded and downgraded by the event processing engine, and for the operation which needs to be triggered after the event is warehoused for a period of time, a trigger of the event real-time library sends a processing signal to complete processing.
It should be noted that the event automatic recovery means receiving an event state update from a monitoring data source or an external tool and completing an event recovery or update operation in real time; specifically, according to the event policy definition, the recovery or update operation indicated by the status update message is executed for the event of the specific event indication or sequence number.
It should be noted that the recovery of the maintenance period is to trigger an automatic recovery action when the maintenance period is over, recover the still existing alarm and trigger a corresponding processing flow; the specific method is that when the definition of the maintenance period is finished, a time signal trigger is defined, a single event processing engine receives a trigger signal, and according to the definition of an event strategy, for specific events pressed in the maintenance period, such as simulation transaction, polling indexes and other periodic acquisition indexes, if the specific events are still not recovered to a normal state, an alarm is generated to trigger a normal processing flow.
It should be noted that, the event correlation analysis is to automatically distinguish the root event and the appearance event for various alarm events occurring in the same time window; the method specifically comprises the steps that an event processing engine is integrated with a business influence analysis platform, the event after being stored in a warehouse is sent to a business influence analysis interface in real time, and an analysis result returned by the business influence analysis platform is received and stored in an event association relation table.
It should be noted that the automatic work order refers to a work order for automatically generating an event flow for a specific event, specifically, according to the event policy definition, an automatic form creation operation is performed for the specific event meeting the conditions of the automatic work order, and a mandatory field of the event is obtained and sent to the flow management platform through an external integrated interface.
It should be noted that triggering the external processing tool refers to triggering a corresponding scenario by a specific event, specifically, according to the event policy definition, executing an automation action on the specific event meeting the automation scenario definition, acquiring a mandatory field of the event, and sending the mandatory field to the external automation processing tool through the external integration interface.
Further explanation of this embodiment is provided, where event processing policy management provides a graphical setting mode for users and system administrators, and can implement self-service processing policy setting as needed, and a user can flexibly define a combination of a group of events and trigger corresponding processing actions, including:
event standardization strategy: event field contents are standardized through mapping table definition, and key fields comprise severity levels, object identifications, index identifications and the like.
And (3) event enrichment strategy: and adding related data field information on the basis of the received original event content.
Event filtering strategy: and pre-filtering the event before warehousing, and pressing the event after warehousing.
Event maintenance period management: suppressing specific events in specific time intervals to avoid invalid alarm; and triggering an automatic recovery action when the maintenance period is over, recovering the still existing alarm and triggering a corresponding processing flow.
And (3) event compression strategy: compression is performed for repeatedly occurring events.
Event upgrading and downgrading strategies: when the event is put in storage or after the event has a certain time period, the automatic upgrading and downgrading operation is triggered under the condition that the event is not processed yet.
Event association policy: and automatically analyzing the association relation of various alarm events occurring in the same time window.
Event notification policy: and automatically notifying the administrator or the duty team that the event notification condition is met.
And (3) automatic work order strategy: the specific event automatically generates an event flow work order.
Event automation processing strategy: and triggering a corresponding automatic operation and maintenance scene by a specific event.
Event recovery strategy: and receiving event state update from a monitoring data source or an external tool, and completing event recovery or update operation in real time.
Event clearing strategy: and regularly clearing the events meeting the conditions in the event library.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. An intelligent network analysis system, characterized by: the system comprises a data integration module, an event preprocessing and caching module, an event database, an event processing module, an event console and a management module;
the data integration module is used for collecting events;
the event preprocessing and caching module is used for accessing and processing the events collected by the data integration module and performing access integration through real-time caching;
the event database is used for storing the events processed by the event preprocessing and caching module;
the event processing module is used for providing a definable processing rule engine and a processing flow engine and executing real-time and periodic further automatic processing on the events processed by the event preprocessing and caching module;
the event console is used for providing basic operation, analysis processing and personalized customization capabilities for the system user;
and the management module is used for facing a system administrator and providing the functions of event classification and index management, monitoring configuration management, external interface management, event processing strategy management, user and security management, user view management, data structure and dictionary management.
2. An intelligent network analysis method is characterized in that: collecting partial events by using a data integration module; the event preprocessing and caching module acquires the events collected by the data integration module in real time to perform event access processing, performs access integration through real-time caching, stores the events into an event database, transmits the preprocessed data to the event processing module, provides a definable processing rule engine and a processing flow engine, and performs further automatic processing on the events processed by the event preprocessing and caching module in real time and periodically.
3. The intelligent network analysis method of claim 2, wherein: the automatic processing of the event processing module comprises event standardization, event pre-filtering, event content processing, event compression, event suppression and event notification.
4. The intelligent network analysis method of claim 3, wherein: the event standardization is specifically defined by a mapping table, event field content is standardized, and key fields comprise severity levels, object identifiers and index identifiers.
5. The intelligent network analysis method of claim 3, wherein: the event pre-filtering is specifically to realize the pre-filtering of the event before warehousing, filter the event which does not meet the basic requirements through the definition of the filtering rule, and store the event in an error log for filing.
6. The intelligent network analysis method of claim 3, wherein: the event content is processed to increase related data field information on the basis of the received original event content; the method specifically comprises the step of obtaining the detailed description content of the department, personnel and application of the event and indexes by associating with an external data source, so that the content of the event in the preprocessing stage is rich.
7. The intelligent network analysis method of claim 6, wherein: the associated external data comprises a configuration information table and a monitoring index information table.
8. The intelligent network analysis method of claim 3, wherein: when the event compression is repeated, the newly generated event is compressed; the method specifically comprises the steps of automatically completing specific compression mark filling of specific events according to event strategy definition, carrying out compression processing on the events with the same compression marks, enabling repeated events not to generate new records, updating partial event fields according to rules, and accumulating counters.
9. The intelligent network analysis method of claim 3, wherein: the event suppression is to perform suppression operation on the event after warehousing; specifically, the event adapter manages in a change maintenance period according to the event strategy definition, automatically updates the event suppression mark, and the event engine can archive the new warehousing event in the history according to the mark.
10. The intelligent network analysis method of claim 3, wherein: the event notification is a notification meeting the event notification condition to a manager; specifically, a notification rule table and contact information are loaded when an event processing module is initialized, and events meeting notification conditions are sent to a communication platform according to an agreed message format through rule definition.
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Application publication date: 20200602 |