WO2011026371A1 - Procédé et dispositif adaptés pour détecter la validité de données de performance historique - Google Patents

Procédé et dispositif adaptés pour détecter la validité de données de performance historique Download PDF

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Publication number
WO2011026371A1
WO2011026371A1 PCT/CN2010/074608 CN2010074608W WO2011026371A1 WO 2011026371 A1 WO2011026371 A1 WO 2011026371A1 CN 2010074608 W CN2010074608 W CN 2010074608W WO 2011026371 A1 WO2011026371 A1 WO 2011026371A1
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Prior art keywords
historical performance
performance data
data
validity
failure
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PCT/CN2010/074608
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English (en)
Chinese (zh)
Inventor
杨海
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中兴通讯股份有限公司
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Publication of WO2011026371A1 publication Critical patent/WO2011026371A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B10/00—Transmission systems employing electromagnetic waves other than radio-waves, e.g. infrared, visible or ultraviolet light, or employing corpuscular radiation, e.g. quantum communication
    • H04B10/07—Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems

Definitions

  • the present invention relates to the field of communications, and in particular to a method and apparatus for detecting validity of historical performance data.
  • BACKGROUND The historical performance of an optical transmission device is an important monitoring indicator of a transmission network, and is highly valued by users. Effective historical performance data is the basis for ensuring the normal supervision and maintenance of network equipment. However, in actual live networks, the failure of historical performance data occurs from time to time. Factors such as hardware and software anomalies of the device or network management system, device reset, communication status degradation, and performance counter clearing operations may affect the validity of historical performance data, especially in the case of large network sizes. Common failures include: data loss, data suspicious, data illegal, and so on.
  • the present invention has been made in view of the related art in which the historical performance of a period of time is manually queried by a user, the accuracy and timeliness are poor, and the failure data efficiency is found to be low. Therefore, the main object of the present invention is to provide an improvement.
  • the historical performance data detecting method and apparatus are to solve at least one of the above problems. According to an aspect of the present invention, a method of detecting validity of historical performance data is provided.
  • the method for detecting the validity of the historical performance data includes: querying historical performance data acquired at the latest time from the current time when the predetermined detection time point arrives, and determining whether the preset failure condition is met according to the query result; Judging the result, updating the current validity test result of the historical performance data.
  • an apparatus for detecting validity of historical performance data is provided.
  • the validity detecting device of the historical performance data includes: a detecting unit and a processing unit, wherein the detecting unit is configured to: when the predetermined detecting time point arrives, query the historical performance data acquired at the latest time of the current time, according to The query result determines whether the preset failure condition is met; and the processing unit is configured to update the current validity detection result of the historical performance data according to the determination result.
  • the historical performance data acquired at the latest time from the current time is detected every predetermined time period to determine whether the preset failure condition is met; and according to the determination result, the validity detection result of the previous historical performance data is refreshed.
  • FIG. 1 is a flowchart of a method for detecting validity of historical performance data according to an embodiment of the present invention
  • FIG. 2 is a flowchart of a method for detecting validity of historical performance data according to a preferred embodiment of the present invention
  • FIG. 4 is a schematic diagram showing the result of validity detection by using a port as an analysis granularity according to an embodiment of the present invention
  • FIG. 5 is a schematic diagram showing a result of validity detection by using a single board as an analysis granularity according to an embodiment of the present invention
  • FIG. 7 is a structural block diagram of a validity detecting apparatus for historical performance data according to an embodiment of the present invention
  • FIG. 8 is a block diagram of a validity detecting apparatus according to an embodiment of the present invention
  • the structure of the validity detecting device of the historical performance data of the embodiment is shown in FIG. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT
  • the present invention provides historical data performance validity by considering the historical performance of a user to manually query a period of time, the accuracy and timeliness are poor, and the invalid data efficiency is found to be low.
  • the detection scheme periodically processes the historical performance data collected or reported, and analyzes the validity of the latest historical performance data at the current time point; according to the analysis result, determines whether the historical performance data satisfies the failure condition; , updating the current historical performance validity test result; repeating the above steps to dynamically monitor the validity of the historical performance data for monitoring and tracking.
  • FIG. 1 is a flow chart of a method for detecting validity of historical performance data according to an embodiment of the present invention. As shown in FIG.
  • the method for detecting validity of historical performance data includes the following processing (step S101 - step S103): Step S101: When a predetermined detection time point arrives, the query 3 is significantly different from the current The most recent moment of the moment The historical performance data is taken according to the query result to determine whether the preset failure condition is met.
  • the time interval between two adjacent detection time points is greater than or equal to two historical performance data acquired. The time interval, and each detection time point lags behind the time when the historical performance data was last acquired from the detection time point.
  • the detection time point is located at any time between two adjacent acquisitions of historical performance data.
  • the timing trigger time of the historical performance data analysis process should be selected between the two adjacent time points of the timing set or report, and the lag time of the previous time point should be no less than the completion of the data set.
  • the time required for reporting; the most recent historical performance data refers to the historical performance data of the last timed set or up to 4 minutes before the analysis time point, which should include historical performance data of at least one time point of the data.
  • the historical performance data obtained by querying the latest time from the current time in step S101 may further include the following processing:
  • the device resource object determines one or more device resource objects to be detected; (2) querying data of one or more device resource objects of historical performance data records acquired at the latest time of the current time.
  • whether the device resource object meets the failure condition is determined according to the query result of the data of the one or more device resource objects.
  • the failure condition includes at least one of the following: there is missing data, there is suspicious data, there is an illegal data value, the number of data missing exceeds a first preset threshold, and the number of data suspicious exceeds a second preset. The number of illegal thresholds and data values exceeds a third preset threshold.
  • the acquired historical performance data mentioned in step S101 may be stored in a database of the network management system and/or a database of the network element control processor.
  • the detection process of step S101 can be implemented at the network management layer or the device layer.
  • the network management system detects the database at the network management layer, and analyzes the database of the network element control processor at the device layer.
  • Step S103 Update the current validity detection result of the historical performance data according to the judgment result.
  • the above step S103 may further include the following two cases:
  • step S101 If one or more device resource objects meet the failure condition, it is determined whether the device resource object that meets the failure condition already has a failure alarm, and if not, a failure alarm of the device resource object is generated; In step S101, if the result of the determination is that the failure condition is met, it is further determined whether the historical performance failure alarm has been present in the object corresponding to the failure. If there is such an alarm, no processing is performed; otherwise, a historical performance failure alarm is newly generated on the object corresponding to the failure.
  • step S101 If one or more device resource objects do not meet the failure condition, it is determined whether the device resource object that does not meet the failure condition already has a failure alarm, and if so, the failure alarm of the device resource object is removed.
  • the result of the step S101 is that the failure condition is not met, it is further determined whether the historical performance failure alarm has been present in the object corresponding to the failure. If there is no such alarm, no processing will be performed; otherwise, the existing alarm will disappear. 2 is a method of detecting the validity of historical performance data in accordance with a preferred embodiment of the present invention. As shown
  • the method for detecting validity of historical performance data includes the following processing (step 4: S201-step 4: S205): Step S201: After the history performance validity detection process is started by the timing trigger module, Query the historical performance data of the report or collection.
  • the query processing process further includes:
  • the device resources may include, but are not limited to, a network element, a board, a port, and a performance item.
  • step S201 (2) querying historical performance data of the device resource in step (1) in step S201 from a point in time between each two adjacent historical performance sets or reporting time points, and starting and ending time points of the query. The last two adjacent historical performance sets or reporting times before the current time point
  • Step S203 Traverse all device resources described in step S201, and determine whether the query result has data loss, data suspicious, data value illegal, and the like. If present, the corresponding device resources Accumulate the number of failures. In the specific implementation process, determining whether the query result has data loss, data suspicious, data value illegal, etc. may further include the following processing:
  • the time point of the historical data included between the start and end time points of step (2) in the above step S201 is used as a query condition, and if there is a time point at which the data cannot be found, The corresponding performance item and its network element, board, and port are judged to be missing data.
  • step S201 For each performance item of the device resource, the time point of the historical data included between the start and end time points of step (2) in the above step S201 is the query condition, and if the query obtains the data record, there is a "suspicious" field. If the value is "suspicious", the corresponding performance item and its network element, board, and port are judged as data suspicious.
  • step S201 For each performance item of the device resource, the time point of the historical data included between the start and end time points of step (2) in the above step S201 is used as the query condition, and if the query obtains the data record, the field value is the data. If the illegal value is outside the dictionary range, the corresponding performance item and its network element, board, and port are determined to be illegal.
  • step S205 According to the data validity result of each device resource obtained in step S203, combined with the current alarm state, the process of generating or disappearing the historical performance failure alarm is performed.
  • the step 4 can further include the following processing:
  • FIG. 3 is a result of validity detection with a performance item as an analysis granularity according to an embodiment of the present invention.
  • the management control unit (MCU) address in the figure describes the rack corresponding to the board. The slot number.
  • the historical performance validity detection module sets performance item 1 to the active state and performance item 2 to the invalid state.
  • the alarm management module finds that there is a historical performance failure alarm in performance item 1, so the alarm disappears and the historical performance failure status is exited.
  • Performance item 2 is not processed and its failure state is maintained.
  • FIG. 4 is a schematic diagram showing the results of validity detection by using a port as an analysis granularity according to an embodiment of the present invention. As shown in Figure 4, the performance data of each of the ports 1 and 2 of the network element B-board B is missing. If the number of missing performance exceeds the predetermined threshold, the two ports are It is set to the invalid state, and because the two ports do not currently have historical performance failure alarms, a historical performance failure alarm is generated for each of them.
  • FIG. 5 is a result of validity detection using a single board as an analysis granularity according to an embodiment of the present invention. As shown in Figure 5, all the performance items of the network element C-boards 1, 2 are missing in the historical performance data of the previous week period, and the number of missing data exceeds a predetermined threshold, and the two boards are put into a failure state.
  • FIG. 6 is a result of validity detection using a network element as an analysis granularity according to an embodiment of the present invention. As shown in Figure 6, all the performance items of the network elements 1 and 2 have a lack of historical performance data in the previous week.
  • the two network elements are set to the invalid state, and because the two network elements do not currently have historical performance failure alarms, a historical performance failure alarm is generated for each of the two network elements.
  • the number of historical performance data missing from NE 1 is below the predetermined threshold, while the missing number of NE 2 is still above the threshold.
  • the network element 1 is set to the active state, and the network element 2 is set to the invalid state. Because the network element 1 is found to have a historical performance failure alarm, the alarm disappears and the historical performance failure status is exited. The network element 2 is not processed, and its failure state is maintained.
  • a validity detecting apparatus for historical performance data is also provided.
  • Figure 7 is a diagram showing the effectiveness of the historical performance data in the embodiment of the present invention.
  • Figure 8 is a diagram showing the effectiveness of the historical performance data in accordance with a preferred embodiment of the present invention. As shown in FIG.
  • the validity detecting apparatus for historical performance data includes: a detecting unit 1, and a processing unit 2. This will be described below in conjunction with FIG.
  • the detecting unit 1 is configured to: when the predetermined detection time point arrives, query the historical performance data acquired at the latest time of the current time, and determine whether the preset failure condition is met according to the query result; preferably, as shown in FIG.
  • the unit 1 may further include: a device resource management module 10, configured to store a device resource in the current network or a network element that needs to be checked for validity; and a historical performance storage module 12, configured to acquire, by means of collecting or reporting, a device resource corresponding to the device resource
  • the historical performance data is stored, and the historical performance verification module 14 is connected to the device resource management module 10 and the historical performance storage module 12, respectively, for performing historical performance data stored by the historical performance storage module.
  • the timing triggering module 16 is connected to the historical performance validity detecting module 14 for triggering the validity of the historical performance validity detecting module according to the predetermined detection time point arrival Detection.
  • the processing unit 2 is configured to update the historical validity performance result of the historical performance data.
  • the processing unit 2 may include: an alarm management module 20, and history.
  • the performance validity detection module 14 is connected to the output of the detection unit to generate a failure alarm or remove the failure alarm.
  • a validity detecting device for historical performance data is provided. Through the combination of the detecting unit and the processing unit, the historical performance of the user can be manually queried for a period of time in the related art, and the accuracy and timeliness are poor.
  • the validity detection scheme of historical performance data is provided.
  • the historical performance storage module has collected the historical performance of the previous time period.
  • the stored operation is saved in the database of the network management.
  • the timing triggering module starts the historical performance validity detecting process, and the historical performance validity detecting module acquires all the resources to be analyzed from the device resource management module, and traverses the resources, and judges whether each resource has a history according to the corresponding data saved in the network management database. Failure of performance data.
  • the existing monitoring system can only check the historical performance by manually querying the historical performance, and can not automatically discover the drawbacks of the invalid data. Therefore, the generation of the failure data can be automatically detected, and the user can be notified in a quick and convenient manner to grasp the failure status of the historical performance data at the first time.
  • the above modules or steps of the present invention can be implemented by a general-purpose computing device, which can be concentrated on a single computing device or distributed over a network composed of multiple computing devices.
  • the invention is not limited to any specific combination of hardware and software.
  • the above is only the preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes can be made to the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the scope of the present invention are intended to be included within the scope of the present invention.

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  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Debugging And Monitoring (AREA)

Abstract

La présente invention se rapporte à un procédé et à un dispositif adaptés pour détecter la validité de données de performance historique. Le procédé selon l'invention comprend les étapes suivantes : quand un point de temps de détection prédéterminé est arrivé, on interroge les données de performance historique obtenues au moment le plus proche du moment actuel et on détermine si les données de performance historique correspondent ou non à une condition invalide prédéfinie sur la base du résultat de l'interrogation; ensuite, on met à jour le résultat actuel de la détection relative à la validité des données de performance historique sur la base du résultat déterminé. La solution technique proposée par la présente invention résout le problème existant dans les arts connexes et lié à la faible qualité en termes de précision, d'opportunité et d'efficacité de l'identification de données invalides résultant de l'interrogation manuelle de données de performance historique, émise à une certaine période par l'utilisateur. La solution technique proposée par la présente invention permet donc de détecter de façon opportune et précise les données de performance historique et d'améliorer l'efficacité d'identification des données invalides.
PCT/CN2010/074608 2009-09-07 2010-06-28 Procédé et dispositif adaptés pour détecter la validité de données de performance historique WO2011026371A1 (fr)

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CN101645736A (zh) * 2009-09-07 2010-02-10 中兴通讯股份有限公司 历史性能数据的有效性检测方法及装置
CN102932194B (zh) * 2011-08-09 2015-08-12 中国银行股份有限公司 基于贝叶斯方法的互联网应用服务监控系统及方法
CN102739444A (zh) * 2012-06-12 2012-10-17 中兴通讯股份有限公司 一种性能数据传输方法、系统和网管
CN103916273A (zh) * 2014-03-31 2014-07-09 大唐移动通信设备有限公司 一种网管设备性能数据补采方法和网管设备
CN106598822B (zh) * 2015-10-15 2019-05-28 华为技术有限公司 一种用于容量评估的异常数据检测方法及装置
CN107450857A (zh) * 2017-08-11 2017-12-08 郑州云海信息技术有限公司 一种自动验证存储设备历史性能数据正确的方法
CN108804037A (zh) * 2018-05-29 2018-11-13 郑州云海信息技术有限公司 基于箱型图处理存储设备历史性能数据的方法及系统

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