CN105101281A - Performance data processing method and device - Google Patents
Performance data processing method and device Download PDFInfo
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- CN105101281A CN105101281A CN201410209439.5A CN201410209439A CN105101281A CN 105101281 A CN105101281 A CN 105101281A CN 201410209439 A CN201410209439 A CN 201410209439A CN 105101281 A CN105101281 A CN 105101281A
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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
- H04L41/40—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using virtualisation of network functions or resources, e.g. SDN or NFV entities
Abstract
The invention provides a performance data processing method and device. The method comprises: collecting the performance data statistical value of one or more than one measuring task; determining whether the performance data statistical value exceeds a reserved threshold value; and performing overloading control processing on the one or more than one measuring task if the performance data statistical value exceeds a reserved threshold value. The method and device solve the problem of long time-delay of performance data reporting in related technology, and furthermore avoid the overloading operation of a performance statistic module so as to ensure the real time reporting effect of performance data.
Description
Technical field
The present invention relates to the communications field, in particular to a kind of performance data processing method and device.
Background technology
In telecom network management system, the Main Function of performance statistic module is by carrying out performance monitoring to network, network element or equipment, gather relevant statistics, the validity of evaluating network and network element, the state of report telecommunication apparatus, network enabled planning and network analysis, thus improve network performance and efficiency, improve operation ability and the service ability of operator.
, in order to understand the ruuning situation of equipment and network in time, there is very high requirement in operator to the real-time of performance data.
The measurement type that the network management system of equipment vendor provides operator to need usually incessantly, equipment of itself maintenance and the measurement type required for traffic issues location also can be provided, and along with the continuous increase of teleservice content and the continuous upgrading of telecommunication apparatus, the measurement type provided is also in continuous increase.And the treatment effeciency of NM server is limited, too much measurement task (the performance data collection task to is measured type and creates) result in performance statistic module overload running, cause performance data collection to report and occur time delay, can not meet the demand of operator to performance data.
Therefore, in the related, there is the problem that reporting performance data time delay is long.
Summary of the invention
The invention provides a kind of performance data processing method and device, there is the long problem of reporting performance data time delay at least to solve in correlation technique.
According to an aspect of the present invention, provide a kind of performance data processing method, comprising: the performance data statistical value gathering one or more measurement task; Judge whether described performance data statistical value exceedes predetermined threshold; When judged result is for being, overloading control process is carried out to described one or more measurement task.
Preferably, when described performance data statistical value is performance data collection total time, the described performance data statistical value gathering described one or more measurement task comprises: the data acquisition time obtaining each measurement task; Described performance data statistical value is obtained to all measurement task summations.
Preferably, the data acquisition time obtaining each measurement task comprises: the processing data packets time obtaining measurement task according to following formula: measure task processing data packets time=number-of-packet of this measurement task of individual data bag processing time * of this measurement task; Obtain the data acquisition time of described measurement task according to following formula: the data acquisition time of described measurement task=described processing data packets time+memory time of performance data corresponding to described measurement task.
Preferably, judge whether described performance data statistical value exceedes described predetermined threshold and comprise: judge whether the number of times that described performance data statistical value exceedes described predetermined threshold reaches pre-determined number; When judged result is for being, determine the overload of described one or more measurement task.
Preferably, carry out overloading control process to described one or more measurement task to comprise: to described one or more measurement task division rank; The rank corresponding according to measurement task carries out overloading control process to described one or more measurement task.
According to a further aspect in the invention, provide a kind of performance data processing unit, comprising: acquisition module, for gathering the performance data statistical value of one or more measurement task; Judge module, for judging whether described performance data statistical value exceedes predetermined threshold; Processing module, for when the judged result of described judge module is for being, carries out overloading control process to described one or more measurement task.
Preferably, described acquisition module comprises: acquiring unit, for when described performance data statistical value is performance data collection total time, obtains the data acquisition time of each measurement task; Sum unit, for obtaining described performance data statistical value to all measurement task summations.
Preferably, described acquiring unit comprises: first obtains subelement, for obtaining the processing data packets time of measurement task according to following formula: measure task processing data packets time=number-of-packet of this measurement task of individual data bag processing time * of this measurement task; Second obtains subelement, for obtaining the data acquisition time of described measurement task according to following formula: the data acquisition time of described measurement task=described processing data packets time+memory time of performance data corresponding to described measurement task.
Preferably, described judge module comprises: judging unit, for judging whether the number of times that described performance data statistical value exceedes described predetermined threshold reaches pre-determined number; Determining unit, for when the judged result of described judging unit is for being, determines the overload of described one or more measurement task.
Preferably, described processing module comprises: division unit, for described one or more measurement task division rank; Processing unit, carries out overloading control process for the rank corresponding according to measurement task to described one or more measurement task.
By the present invention, adopt the performance data statistical value gathering one or more measurement task; Judge whether described performance data statistical value exceedes predetermined threshold; When judged result is for being, overloading control process is carried out to described one or more measurement task, solve in correlation technique and there is the long problem of reporting performance data time delay, and then reach and avoid the overload of performance statistic module to operate, to guarantee the effect of performance data real-time report.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide a further understanding of the present invention, and form a application's part, schematic description and description of the present invention, for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is the flow chart of the performance data processing method according to the embodiment of the present invention;
Fig. 2 is the structured flowchart of the performance data processing unit according to the embodiment of the present invention;
Fig. 3 is the preferred structure block diagram of acquisition module 22 in the performance data processing unit according to the embodiment of the present invention;
Fig. 4 is the preferred structure block diagram of acquiring unit 32 in acquisition module 22 in the performance data processing unit according to inventive embodiments;
Fig. 5 is the preferred structure block diagram of judge module 24 in the performance data processing unit according to the embodiment of the present invention;
Fig. 6 is the preferred structure block diagram of processing module 26 in the performance data processing unit according to the embodiment of the present invention;
Fig. 7 is the configuration diagram of the performance statistics overload analysis & control system according to the embodiment of the present invention;
Fig. 8 is the performance statistic module overload analysis and control method flow diagram according to the embodiment of the present invention.
Embodiment
Hereinafter also describe the present invention in detail with reference to accompanying drawing in conjunction with the embodiments.It should be noted that, when not conflicting, the embodiment in the application and the feature in embodiment can combine mutually.
Provide a kind of performance data processing method in the present embodiment, Fig. 1 is the flow chart of the performance data processing method according to the embodiment of the present invention, and as shown in Figure 1, this flow process comprises the steps:
Step S102, gathers the performance data statistical value of one or more measurement task;
Step S104, judges whether performance data statistical value exceedes predetermined threshold;
Step S106, when judged result is for being, carries out overloading control process to one or more measurement task.
Pass through above-mentioned steps, judge whether to exceed predetermined threshold according to the performance data statistical value of the task of measurement, determine whether excess load is for performing spatial load forecasting process for this one or more measurement task, relative in correlation technique, not to the performance data whether excess load analyzing and processing of the task of measurement, not only solve in correlation technique and there is the long problem of reporting performance data time delay, and then reach and avoid the overload of performance statistic module to operate, to guarantee the effect of performance data real-time report.
When performance data statistical value is performance data collection total time, the performance data statistical value gathering one or more measurement task can adopt following process: the data acquisition time obtaining each measurement task; Performance data statistics value is obtained to all measurement task summations.Wherein, the data acquisition time obtaining each measurement task can in the following ways: the processing data packets time first obtaining measurement task according to following formula: measure task processing data packets time=number-of-packet of this measurement task of individual data bag processing time * of this measurement task; Obtain the data acquisition time of measurement task again according to following formula: measure the data acquisition time of task=processing data packets time+memory time of performance data corresponding to measurement task.
Whether really overload state is in order to ensure this one or more measurement task, when judging whether performance data statistical value exceedes predetermined threshold, first can judge whether the number of times that performance data statistical value exceedes predetermined threshold reaches pre-determined number, this pre-determined number can be determined according to concrete needs, such as, 3 times can be set to; When judged result is for being, determine the overload of one or more measurement task.
In order to meet user, different spatial load forecasting process is adopted to different measuring task, can first to one or more measurement task division rank; The rank corresponding according to measurement task carries out overloading control process to one or more measurement task.Such as, its rank can be set to higher by the measurement task comparatively paid close attention to for user, and can be set to common grade for the measurement task not too paid close attention to.
Additionally provide a kind of performance data processing unit in the present embodiment, this device is used for realizing above-described embodiment and preferred implementation, has carried out repeating no more of explanation.As used below, term " module " can realize the software of predetermined function and/or the combination of hardware.Although the device described by following examples preferably realizes with software, hardware, or the realization of the combination of software and hardware also may and conceived.
Fig. 2 is the structured flowchart of the performance data processing unit according to the embodiment of the present invention, and as shown in Figure 2, this device comprises acquisition module 22, judge module 24 and processing module 26, is described below to this device.
Acquisition module 22, for gathering the performance data statistical value of one or more measurement task; Judge module 24, is connected to above-mentioned acquisition module 22, for judging whether performance data statistical value exceedes predetermined threshold; Processing module 26, is connected to above-mentioned judge module 24, for when the judged result of judge module is for being, carries out overloading control process to one or more measurement task.
Fig. 3 is the preferred structure block diagram of acquisition module 22 in the performance data processing unit according to the embodiment of the present invention, and as shown in Figure 3, this acquisition module 22 comprises acquiring unit 32 and sum unit 34, is described below to this acquisition module 22.
Acquiring unit 32, for when performance data statistical value is performance data collection total time, obtains the data acquisition time of each measurement task; Sum unit 34, is connected to above-mentioned acquiring unit 32, for obtaining performance data statistics value to all measurement task summations.
Fig. 4 is the preferred structure block diagram of acquiring unit 32 in acquisition module 22 in the performance data processing unit according to inventive embodiments, as shown in Figure 4, this acquiring unit 32 comprises the first acquisition subelement 42 and second and obtains subelement 44, is described below to this acquiring unit 32.
First obtains subelement 42, for obtaining the processing data packets time of measurement task according to following formula: measure task processing data packets time=number-of-packet of this measurement task of individual data bag processing time * of this measurement task; Second obtains subelement 44, be connected to above-mentioned first and obtain subelement 42, for obtaining the data acquisition time of measurement task according to following formula: measure the data acquisition time of task=processing data packets time+memory time of performance data corresponding to measurement task.
Fig. 5 is the preferred structure block diagram of judge module 24 in the performance data processing unit according to the embodiment of the present invention, and as shown in Figure 5, this judge module 24 comprises judging unit 52 and determining unit 54, is described below to this judge module 24.
Judging unit 52, for judging whether the number of times that performance data statistical value exceedes predetermined threshold reaches pre-determined number; Determining unit 54, is connected to above-mentioned judging unit 52, for when the judged result of judging unit is for being, determines the overload of one or more measurement task.
Fig. 6 is the preferred structure block diagram of processing module 26 in the performance data processing unit according to the embodiment of the present invention, and as shown in Figure 6, this processing module 26 comprises division unit 62 and processing unit 64, is described below to this processing module 26.
Division unit 62, for one or more measurement task division rank; Processing unit 64, is connected to above-mentioned division unit 62, carries out overloading control process for the rank corresponding according to measurement task to one or more measurement task.
For in correlation technique, when there is overload in performance statistic module, network management system does not take any treatment measures, let alone this state to continue always, cause time delay progressively to accumulate, finally cause reporting performance data delay time more and more longer, can not meet the problem of operator to the requirement of real-time of performance data, in the present embodiment, the technical scheme of the overload analysis & control of a kind of network management system performance statistic module in data acquisition is provided.By the program, effectively can overcome performance statistic module overload running and cause performance data collection to report the problem of time delay, thus realize the real-time report of performance data.
Fig. 7 is the configuration diagram of the performance statistics overload analysis & control system according to the embodiment of the present invention, as shown in Figure 1, this structure comprises with lower module: overload parameter configuration module 72, performance data collection Efficiency Statistics module 74 (with above-mentioned acquisition module 22) and overload analysis and Control module 76 (with above-mentioned judge module 24 and processing module 26), be described this system below.
Overload parameter configuration module 72, the configuration of the relevant parameter needed for providing overload analysis & control, mainly comprise the threshold value that overload analysis is used, this threshold value can comprise multiple, and thus the call of this threshold value can have a variety of, such as, performance data allows delay time, performance acquisition time threshold value etc., regardless of what call, its effect is all for overload analysis provides threshold value (or being called, predetermined threshold).
Performance data collection Efficiency Statistics module 74, is responsible for measuring in real time performance data collection efficiency, for overload analysis provides data foundation.
Overload analysis and Control module 76, collecting efficiency data that utility data acquisition efficiency statistical module 74 the counts on total time of the data acquisition of current whole granularity all properties (be used for calculate) carry out overload analysis (if be greater than or exceeded the threshold value arranged performance data collection total time, then think overload), if analysis result is overload, then carry out overloading control (method of overloading control can have multiple, the embodiment see below).
Based on said system framework, in the present embodiment, additionally provide a kind of performance statistic module overload analysis and control method, Fig. 8 is the performance statistic module overload analysis and control method flow diagram according to the embodiment of the present invention, as shown in Figure 8, the method comprises the following steps:
Step S802, carries out the parameter configuration of performance statistics overload analysis & control, mainly comprises the threshold value that overload is analyzed;
Step S804, performance statistic module, in the process of carrying out performance data collection, is added up performance data collection efficiency, and the efficiency data counted on is stored into internal memory or (with) in permanent media;
Step S806, performance statistics overload analysis and Control module carries out overload analysis according to performance data collection efficiency data, judges whether to occur overload;
Step S808, according to the analysis result of step S806, if there is overload, then carries out overloading control.Conventional control method as: according to the measurement task (guaranteeing that the performance data of high level measurement task can be gathered in time report) measuring type level and delete successively from low to high or hang up current activation, until overload recovers.
By such scheme, the overload of performance statistic module can be avoided to operate, guarantee that performance data that operator pays close attention to most can gather in time and report.
Below the preferred embodiment of the present invention is described.
Use overload parameter configuration module 72 configures the relevant parameter required for overload analysis & control, this relevant parameter can comprise multiple, such as, can comprise following several: the threshold value (or being called threshold value) used is analyzed in overload, the title of this threshold value can have different call, such as, performance data collection allows delay time, performance data collection time threshold, thresholding etc. is analyzed in performance overload, regardless of what title, its effect is all for overload analysis provides threshold value.
If adopt the method for carrying out overloading control according to measurement type level in overloading control, then overload parameter configuration module 72 can also comprise the setting of measuring type level information, need according to oneself the rank arranging each measurement type by operator, the measurement type it be concerned about most is set to important.
Wherein, overload is analyzed the threshold value used and is referred generally to operator the receives performance data allowable offset of time relative to data acquisition starting time from network management system.Such as, for the data of 5 minutes granularities, Carrier Requirements 10:08 divides the data that must receive 10:05 and divide, and namely threshold value is 3 minutes (180 seconds).
The rank measuring type can be arranged according to following rule: the measurement type definition that the measurement type that operator pays close attention to most and related specifications or agreement (such as, CORBA specification, 3GPP agreement) relate to is severity level; The measurement type definition that operator generally pays close attention to is secondary rank; The measurement type definition that plant maintenance and positioning problems use is common grade.
Performance data collection Efficiency Statistics module 74 carries out the statistics of performance data acquisition efficiency.The data of statistics need to calculate the total acquisition time of current granularity all properties data.Such as, statistical content can comprise: the performance data bag number of each measurement type (or measure task), the memory time (such as, data loading time, data writing in files time etc.) of performance data, single performance data bag processing time, the total time of all properties processing data packets, all properties data store total time etc.Data acquisition total time just adds that all properties data store total time the total time equaling processing data packets.
Performance data collection Efficiency Statistics result or/and permanent storage media stored in internal memory, is convenient to follow-up overload analysis and Control module 16 and is carried out efficiency data inquiry.
After collecting efficiency data statistics completes, notice overload analysis and Control module 76 carries out overload analysis.Also overload analysis can be carried out by timer clocked flip overload analysis and Control module 76 herein.
Overload analysis and Control module 76 carries out following overload analysis: the data acquisition total time obtaining up-to-date granularity from performance data collection Efficiency Statistics module 74, itself and the threshold value (arranging in overload parameter configuration module 72) arranged are compared, if data acquisition total time is greater than threshold value, then illustrates and occur overload.
Can also select to increase the judgement occurring overload number of times continuously herein, such as, occur that genuine overload is just thought in overload for 3 times continuously.The performance statistics overload that overall operation efficiency declines (such as, the sudden high resource occupation of indivedual process) or network communication storm causes that network management system occurs once in a while can be got rid of like this.
Judge the analysis result of previous step, if there is overload, then carry out overloading control, the method for overloading control can have multiple choices.Such as, following several control treatment method can be adopted: (1) network management system is automatically deleted according to measurement task rank or hangs up low-level task; (2) network management system sends overload alarm or notice, the measurement task of deleting/hanging up or the measuring object number (if network management system support selects different counters to create measurement task, then can also delete the counter number in measurement task) reduced in some measurement task is needed by manual selection of user.
Plant control method for (1) to be below described:
Sorting from common to important by rank to all measurement tasks of current activation, (rank measuring task can be arranged according to the rank measuring type, also can be specified when creating measurement task by user), then the measurement duty cycle after sequence is handled as follows:
1) the performance data bag number of the up-to-date granularity of this measurement task, the performance data entry time of this measurement task, the performance data bag number of all measurement tasks, all properties processing data packets total time is obtained from performance data collection Efficiency Statistics module 74
2) data acquisition time of this measurement task is calculated:
The performance data memory time of number-of-packet+this measurement task of data acquisition time=single this measurement task of performance data bag processing time *
3) duration that the performance data collection time exceeds threshold value is calculated:
Exceed duration=performance data collection total time-threshold value
4) this measurement task (can select to send alarm notification or log, explanation is that the measurement task caused due to overload is hung up automatically by system simultaneously) is hung up
5) from exceeding duration the data acquisition time deducting this measurement task, and judging whether the remaining duration that exceeds is greater than 0, if be greater than 0, continuing the next measurement task of process; If be less than or equal to 0, then illustrate that overload recovers, and exits circulation.
By above-described embodiment and preferred implementation, by carrying out overload analysis & control to performance statistic module, solving the problem that important performance data time delay reports, guaranteeing that performance data that operator pays close attention to most can gather in time and reporting.
In addition, it is to be noted, because the flow process of performance statistics and model have very strong similitude under different communication standards, therefore the embodiment of the present invention and the various network management systems of preferred implementation under existing 3GPP agreement are (such as, CDMA2000, WCDMA, TD-SCDMA etc.) in also can implement, there is applicability and practical value widely.
Obviously, those skilled in the art should be understood that, above-mentioned of the present invention each module or each step can realize with general calculation element, they can concentrate on single calculation element, or be distributed on network that multiple calculation element forms, alternatively, they can realize with the executable program code of calculation element, thus, they can be stored and be performed by calculation element in the storage device, and in some cases, step shown or described by can performing with the order be different from herein, or they are made into each integrated circuit modules respectively, or the multiple module in them or step are made into single integrated circuit module to realize.Like this, the present invention is not restricted to any specific hardware and software combination.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. a performance data processing method, is characterized in that, comprising:
Gather the performance data statistical value of one or more measurement task;
Judge whether described performance data statistical value exceedes predetermined threshold;
When judged result is for being, overloading control process is carried out to described one or more measurement task.
2. method according to claim 1, is characterized in that, when described performance data statistical value is performance data collection total time, the described performance data statistical value gathering described one or more measurement task comprises:
Obtain the data acquisition time of each measurement task;
Described performance data statistical value is obtained to all measurement task summations.
3. method according to claim 2, is characterized in that, the data acquisition time obtaining each measurement task comprises:
Obtain the processing data packets time of measurement task according to following formula: measure task processing data packets time=number-of-packet of this measurement task of individual data bag processing time * of this measurement task;
Obtain the data acquisition time of described measurement task according to following formula: the data acquisition time of described measurement task=described processing data packets time+memory time of performance data corresponding to described measurement task.
4. method according to claim 1, is characterized in that, judges whether described performance data statistical value exceedes described predetermined threshold and comprise:
Judge whether the number of times that described performance data statistical value exceedes described predetermined threshold reaches pre-determined number;
When judged result is for being, determine the overload of described one or more measurement task.
5. method according to any one of claim 1 to 4, is characterized in that, carries out overloading control process comprise described one or more measurement task:
To described one or more measurement task division rank;
The rank corresponding according to measurement task carries out overloading control process to described one or more measurement task.
6. a performance data processing unit, is characterized in that, comprising:
Acquisition module, for gathering the performance data statistical value of one or more measurement task;
Judge module, for judging whether described performance data statistical value exceedes predetermined threshold;
Processing module, for when the judged result of described judge module is for being, carries out overloading control process to described one or more measurement task.
7. device according to claim 6, is characterized in that, described acquisition module comprises:
Acquiring unit, for when described performance data statistical value is performance data collection total time, obtains the data acquisition time of each measurement task;
Sum unit, for obtaining described performance data statistical value to all measurement task summations.
8. device according to claim 7, is characterized in that, described acquiring unit comprises:
First obtains subelement, for obtaining the processing data packets time of measurement task according to following formula: measure task processing data packets time=number-of-packet of this measurement task of individual data bag processing time * of this measurement task;
Second obtains subelement, for obtaining the data acquisition time of described measurement task according to following formula: the data acquisition time of described measurement task=described processing data packets time+memory time of performance data corresponding to described measurement task.
9. device according to claim 6, is characterized in that, described judge module comprises:
Judging unit, for judging whether the number of times that described performance data statistical value exceedes described predetermined threshold reaches pre-determined number;
Determining unit, for when the judged result of described judging unit is for being, determines the overload of described one or more measurement task.
10. the device according to any one of claim 6 to 9, is characterized in that, described processing module comprises:
Division unit, for described one or more measurement task division rank;
Processing unit, carries out overloading control process for the rank corresponding according to measurement task to described one or more measurement task.
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| CN201410209439.5A CN105101281A (en) | 2014-05-16 | 2014-05-16 | Performance data processing method and device |
| PCT/CN2014/088671 WO2015172508A1 (en) | 2014-05-16 | 2014-10-15 | Performance data processing method and device |
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Application publication date: 20151125 |