CN101383722B - Time variant performance data collecting method and device - Google Patents
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Abstract
The invention provides an acquisition method of time variable performance data and a device thereof. The method comprises: a data source subsystem provided with a time variable performance counter registers data to an OAM subsystem for reading port parameters; the OAM subsystem acquires the data of the time variable performance counter according to data read port parameters and a preset time variable acquisition cycle, and converts the acquired data into time variable group corresponding to the time variable; the OAM subsystem converts the time variable group into a counter group according to the time preset variable group conversion relation and the time variable group and the measurement cycle of the preset measurement task, and reports. The device comprises the data source subsystem provided with a data read port parameter setting unit and a registering unit, and the OAM subsystem provided with a time variable data acquisition unit and a time variable conversion unit and a time variable group conversion unit. The platform of the time variable performance data acquisition can be realized by using the invention.
Description
Technical field
The present invention relates to a kind of data acquisition technology, especially, relate to a kind of time variant performance data collecting method and device.
Background technology
Variations per hour is the statistical indicator that a kind of timing is upgraded or upgraded with Event triggered, it is a kind of index of not having set Changing Pattern, the variations per hour of only adding up some moment is nonsensical, need the average and the peak value of variations per hour in certain period of statistics just to be of practical significance, this statistics this paper is referred to as the statistics to variations per hour.Variations per hour collection at present mainly is to be finished in the minimum period by data source subsystems to calculate, and finishes calculating in the measurement period by the OAM subsystem, and the counter that will calculate acquisition again reports webmaster.To variations per hour account form difference, acquisition mode can be divided into two kinds according to OAM: the account form of sampling entirely and accumulation account form.
Introduce existing scheme 1 below: acquisition method is calculated in full sampling.
Data source subsystems was generally five minutes according to minimum collection period, and calculating needs the average and the peak value of statistics to report the OAM subsystem, and the OAM subsystem is provided with the counter buffer memory, preserves the sampled value that reports.So, can preserve many parts average and peak value sampling in the OAM subsystem.Deng the statistics that arrives the performance plan constantly, the OAM subsystem needs according to the performance collection cycle average to be carried out in the sampling of being preserved once more and peak value calculates, and the counter after calculating is reported Upper NM Station.
Fig. 1 is the acquisition method schematic diagram of prior art scheme 1.As Fig. 1, behind OAM subsystem startability statistics gatherer, data source subsystems reported variations per hour to give OAM subsystem every five minutes, the OAM subsystem is not done special processing and is directly preserved all samplings, calculate the average and the peak value of preservation during the moment once more Deng the arrival statistics, and the actual count device that obtains is reported Upper NM Station.
Utilize the account form of should sampling entirely to carry out the variations per hour collection and have following major defect:
1) owing to need to preserve all sampled values, needs to expend a large amount of internal memories in the equipment for the free of data storehouse;
2) when arriving statistics during the moment, OAM need calculate once more to the variations per hour of all samplings, has increased instantaneous computing cost, has reduced treatment effeciency;
3) in the distributed telecommunication apparatus, owing to there are a plurality of different data source subsystems, need the OAM subsystem that each data source is handled especially, be not easy to the hardware and software platform processing that variations per hour is gathered;
4) performance collection index demand is all opaque to OAM and data source, and demand or data source change, and OAM must also need to change, and is abstract inadequately, and hardware and software platform also exists a plurality of subsystems to revise simultaneously, is not easy to later maintenance;
5) existence is to the redundant computation of variations per hour.
Introduce existing scheme 2 below: acquisition method is calculated in accumulation.
The prior art scheme 2 is a kind of improvement to above-mentioned existing scheme 1, this scheme 2 is improved the preserving type of sampled value on the basis of scheme 1, no longer preserve each sampled value, but to the average preservation that adds up, on give the correct time earlier and to go out times of collection with respect to the minimum period according to the actual acquisition Time Calculation, calculating final average according to add up average and times of collection; For peak value, preserve the peak value after each the calculating, as on the final peak value that gives the correct time.
Fig. 2 is the acquisition method schematic diagram of prior art scheme 1.As Fig. 2, behind OAM subsystem startability statistics gatherer, the OAM subsystem adds up to the average that data source subsystems reports, the peak value that reports is calculated the back directly to be preserved, by the time statistics is after the moment, the OAM subsystem goes out actual times of collection according to gathering duration calculation, calculates final average by add up average and times of collection again, reports Upper NM Station together with calculated peak value then.Utilize the accumulation account form to carry out the variations per hour collection and have following major defect:
1) in the distributed telecommunication apparatus, owing to there are a plurality of different data source subsystems, need the OAM subsystem that each data source is handled especially, the hardware and software platform that is not easy to data acquisition is handled;
2) OAM and data source all need to be concerned about the performance index demand, and the change of demand will inevitably cause that OAM and data source change simultaneously, is not easy to later maintenance, more is not easy to hardware and software platform;
3) because may there be error in system time, can make to calculate when gathering duration has deviation, needs OAM to increase the function of difference correction time, has increased the complexity that realizes;
4) there is redundant computation.
In sum, there is more shortcoming in the time variant performance data collecting method of prior art, and all is not easy to realize the hardware and software platform processing of variations per hour data acquisition.
Summary of the invention
The acquisition method and the device that the purpose of this invention is to provide a kind of time variant performance data solve in the prior art, and the collection of time variant performance data is not easy to the technical problem that hardware and software platform is handled.
To achieve these goals, the invention provides a kind of acquisition method of time variant performance data, wherein, comprise the steps:
Step 1, the data source subsystems that is provided with the variations per hour performance counter is when initialization, to the described data read suction parameter of operation management maintain OAM subsystem register, described data read suction parameter is corresponding with described variations per hour performance counter to be collected, is used to read the data of described variations per hour performance counter to be collected;
Step 2, described OAM subsystem is according to the data read suction parameter and the predefined variations per hour collection period of described registration, periodically gather the performance data of described variations per hour performance counter, and the time variant performance data of described collection is converted to and the corresponding variations per hour group of described variations per hour by predefined variations per hour transformational relation;
Step 3, described OAM subsystem periodically convert described variations per hour group to the counter group by predefined variations per hour group transformational relation according to the measuring period in described variations per hour group and the predefined measurement task.
Described method, wherein, the described time variant performance data of gathering is converted to the corresponding variations per hour group of described variations per hour by predefined variations per hour transformational relation is:
The time variant performance data of described collection is converted to, comprises the variations per hour group of the peak value of the accumulated value of the times of collection of described variations per hour, described variations per hour and/or described variations per hour.
Described method wherein, comprises the transformational relation end mark in the described predefined variations per hour group transformational relation, in the described step 3, further comprises:
Described OAM subsystem judges whether to arrive the step of described end mark; In this way, then described OAM subsystem finishes the conversion of this time variations per hour group.
Described method, wherein, described data read suction parameter comprises: the function reading that is used to read described variations per hour performance counter data;
In described step 2, the data that described OAM subsystem is periodically gathered described variations per hour performance counter comprise: described OAM subsystem periodically calls the step that described function reading is obtained described variations per hour performance counter data.
Described method, wherein, described data read suction parameter comprises: the memory address that is used to store described variations per hour performance counter data;
In described step 2, the data that described OAM subsystem is periodically gathered described variations per hour performance counter comprise: described OAM subsystem is the step of the described variations per hour performance counter data of copy from described memory address periodically.
Described method, wherein, described data source subsystems also comprises to the data read suction parameter of described OAM subsystem register: counter group id, maximum measuring object number, variations per hour collection period, and/or predefinedly be used to realize that the variations per hour group is converted to the described variations per hour group transformational relation of counter group.
Described method, wherein, described predefined variations per hour group transformational relation sets in advance in described data source subsystems.
Described method wherein, in the described step 2, before described OAM subsystem is periodically gathered the data of described original count device, also comprises:
Described OAM subsystem filters out according to the data read suction parameter of described data source subsystems registration: the measurement task that the data of unregistered variations per hour performance counter in the described data source subsystems are gathered.
Described method wherein, also comprises:
For measuring object invalid in the described data source subsystems is provided with invalidated identification; And
After collecting the data of described original count device or counter group, described OAM subsystem falls the information filtering of described invalid measuring object according to described invalidated identification.
Described method, wherein, the registration function that described data source subsystems provides by described OAM subsystem is to the described data read suction parameter of described OAM subsystem register.
The present invention also provides a kind of harvester of time variant performance data, comprise data source subsystems that is provided with the variations per hour performance counter and the operation management maintain OAM subsystem that the variations per hour performance counter that described data source subsystems provides is gathered, wherein, described data source subsystems comprises:
Registering unit is used for to OAM subsystem register data read suction parameter, and wherein, described data read suction parameter is corresponding with described variations per hour performance counter to be collected, is used to read the data of described variations per hour performance counter to be collected;
Described OAM subsystem comprises:
The variations per hour data acquisition unit is used for data read suction parameter and default variations per hour collection period according to described registration, the performance data of periodically gathering described variations per hour performance counter;
The variations per hour converting unit is used for the time variant performance data of described collection is converted to and the corresponding variations per hour group of described variations per hour by predefined variations per hour transformational relation;
Variations per hour group converting unit is used for the measuring period according to described variations per hour group and predefined measurement task, periodically converts described variations per hour group to the counter group by predefined variations per hour group transformational relation.
Described device, wherein, described that change out by predefined variations per hour transformational relation, comprise with the corresponding variations per hour group of variations per hour: the times of collection of described variations per hour, the accumulated value of described variations per hour and the peak value of described variations per hour.
Described device, wherein, described data read suction parameter comprises: the function reading that is used to read described variations per hour performance counter data;
Described reading unit also comprises:
The function reading call unit is used for periodically calling described function reading.
Described device, wherein, described data read suction parameter comprises: the memory address that is used to store described variations per hour performance counter data;
Described reading unit also comprises:
The data copy cell is used for periodically from the described variations per hour performance counter data of described memory address copy.
Described device, wherein, described data source subsystems also comprises to the data read suction parameter of described OAM subsystem register: counter group id, maximum measuring object number, variations per hour collection period, and/or predefinedly be used to realize that the variations per hour group is converted to the described variations per hour group transformational relation of counter group.
Described device, wherein, described OAM subsystem also comprises:
Registration provides the unit, is used for providing registration function to described data source subsystems, registers described data read suction parameter for described data source subsystems.
Technique effect of the present invention is:
1, in the present invention, finish the variations per hour data acquisition by data source subsystems to the mode of OAM subsystem register, and the counter group that the OAM subsystem utilizes predefined transformation rule that the variations per hour data transaction that collects is become need report, thus, the OAM subsystem can be finished the calculating of variations per hour separately, like this, if the change of counter or data source is arranged, only need the variations per hour and the transformation rule of change data source subsystems to get final product, can not have influence on OAM, thereby can realize that the OAM subsystem carries out the hardware and software platform of variations per hour data acquisition, and realize inter-product use;
2, in the present invention, the OAM subsystem does not need will preserve from all variations per hour data of data source subsystems collection again, but periodically obtains and upgrade the value of this variations per hour group according to the variations per hour data of gathering, and has reduced taking internal memory thus;
3, in the present invention, according to the measuring period of the task of measurement, when arriving statistics during the moment, the OAM subsystem does not need the variations per hour data of all collections to be calculated once more again, and only need according to variations per hour group transformational relation just the variations per hour group be converted to the counter group, avoided instantaneous excessive computing cost thus;
4, the present invention adopts the mode of calling function reading or data in EMS memory copy to realize the collection of data, has improved picking rate thus;
5, in the present invention, data source subsystems does not need again variations per hour to be carried out specific calculations, and the instantaneous value that only needs to bring in constant renewal in variations per hour gets final product, and it can only pay close attention to Business Processing thus;
6, in the present invention, in the performance data collection process, need in data source subsystems and OAM subsystem, not carry out interacting message again, improve picking rate thus;
7, in the present invention, avoid redundant computation, and reduced program complexity, be convenient to later maintenance.
Description of drawings
Fig. 1 is the principle schematic of the variations per hour performance counter acquisition method of prior art scheme 1;
Fig. 2 is the variations per hour performance counter acquisition method principle schematic of prior art scheme 2;
Fig. 3 is the schematic flow sheet of the variations per hour performance counter acquisition method of the embodiment of the invention one;
Fig. 4 is the principle schematic of the variations per hour performance counter acquisition method of the embodiment of the invention one;
Fig. 5 is in the embodiment of the invention one, the adoptable schematic diagram that is converted to the transformational relation of counter group by variations per hour;
Fig. 6 is the schematic flow sheet of the variations per hour performance counter acquisition method of the embodiment of the invention two;
Fig. 7 is the structural representation of the harvester of the embodiment of the invention.
Embodiment
For making the purpose, technical solutions and advantages of the present invention clearer, describe the present invention below in conjunction with the accompanying drawings and the specific embodiments.
Fig. 3 is the schematic flow sheet of the variations per hour performance counter acquisition method of the embodiment of the invention one.Fig. 4 is the principle schematic of the variations per hour performance counter acquisition method of the embodiment of the invention one.As Fig. 3, the variations per hour performance counter acquisition method of the embodiment of the invention one comprises the steps:
In this embodiment one, variations per hour is the performance index of being safeguarded by data source subsystems, timing is upgraded or Event triggered is upgraded, and as peak value or average, correspondingly, the variations per hour performance counter is peak value or average counter; The variations per hour group is by the OAM subsystem maintenance, and obtains this variations per hour group according to predefined variations per hour transformational relation according to variations per hour, and concrete, for example, this variations per hour group comprises: variations per hour times of collection, variations per hour accumulated value and variations per hour peak value; The counter group is the counter group that finally embodies to the user, and this predefined variations per hour transformational relation is then for being converted to variations per hour the transformational relation of above-mentioned variations per hour group.
In this step 302, the registration function that data source subsystems provides by the OAM subsystem is to this data read suction parameter of OAM subsystem register.This data read suction parameter comprises: be used to read the function reading of described variations per hour performance counter data, and/or be used to store the memory address of described variations per hour performance counter data.When this data read suction parameter comprised function reading, in step 303, the OAM subsystem obtained variations per hour performance counter data by periodically calling this function reading.When this data read suction parameter comprises memory address, in step 303, this OAM subsystem directly obtains the time variant performance data of gathering by the variations per hour performance counter data that periodically copy is stored in this memory address from this memory address from data source subsystems.
In distributed telecommunication apparatus, the variations per hour performance index are distributed in a plurality of data source subsystems on each veneer, and each data source subsystems realizes different variations per hours respectively, the running performance index that reflection equipment is different.Exemplarily, utilize the method for this embodiment one, in each data source subsystems, be provided with the function reading or the memory address of the variations per hour of being responsible for separately, and the registration function that provides by the OAM on this veneer, when initialization, finish the registration of function reading or memory address, the OAM subsystem is according to the relevant variations per hour of information gathering of data source subsystems registration, and calculate the variations per hour group, again according to the DATA REASONING cycle in the measurement task, regularly the variations per hour group is converted to the counter group by calculating, and finishes and report.
In this embodiment one, data source subsystems does not need again variations per hour to be carried out specific calculations, only needs to bring in constant renewal in the instantaneous value of variations per hour; The OAM subsystem does not need will preserve from all variations per hour data of data source subsystems collection again, but periodically upgrades the value of set of variables at that time according to the variations per hour instantaneous value of the continual renovation that collects.
In this embodiment one, the data read suction parameter of data source subsystems registration also comprises following content except that above-mentioned function reading and/or memory address:
The counter group id is used for a variations per hour counter of unique identification group, and this counter group id is obtained by the counter document of data source subsystems according to design in advance;
Maximum measuring object number, be used for representing the maximum quantity of the measuring object that the variations per hour performance counter group of data source subsystems will be added up, wherein, measuring object refers to the object logic relevant with performance statistics, as the sub-district in the mobile communication, the correlated performance statistical indicator of measuring object is safeguarded by the counter that is provided with on it by data source subsystems, and is gathered and report webmaster by OAM;
The variations per hour sampling period is provided by data source subsystems, and OAM is according to the variations per hour in this cycle timing acquiring data source subsystems;
Variations per hour group transformational relation, the variations per hour group is converted to the transformational relation of counter group, and OAM calculates the counter group according to the variations per hour group that obtains and this relation.
Fig. 5 is the adoptable schematic diagram that is converted to the transformational relation of counter group by variations per hour in the embodiment of the invention one.As Fig. 5, suppose to have in this embodiment three variations per hours to need statistics, for example current CPU/DSP occupation rate, current online user number etc., and have only a measuring object.These three variations per hours that data source subsystems is safeguarded are assumed to: variations per hour 0, variations per hour 1 and variations per hour 2.In the variations per hour collection period, in 5 seconds, be updated periodically the value of these three variations per hours.The OAM subsystem is according to these three variations per hours of variations per hour collection period timing acquiring, and is converted into three variations per hour groups by predefined variations per hour transformational relation, and these three variations per hour groups are stored.When arriving the measuring period of measurement task customization, as 5 minutes, the variations per hour group transformational relation that OAM regularly provides according to data source reports webmaster to the variations per hour counter group that three variations per hour groups are converted to end user's needs, and the collection of finishing whole variations per hour counter group reports process.Wherein, this variations per hour group transformational relation sets in advance in data source subsystems according to the variations per hour counter group of user's needs, and provide to OAM in when registration by data source subsystems, OAM concerns the variations per hour counter group that the variations per hour group of its storage is converted to user's needs according to this, promptly finally reports the variations per hour counter group of webmaster.
As Fig. 5, in this embodiment, predefined variations per hour transformational relation is used for variations per hour is converted to and comprises: the variations per hour group of the maximum of the times of collection of variations per hour, the accumulated value of variations per hour, variations per hour and the minimum value of variations per hour.The OAM subsystem is according to time variant performance data, predefined variations per hour collection period and this variations per hour transformational relation gathered, periodically variations per hour 0, variations per hour 1 and variations per hour 2 are converted to variations per hour group 0 corresponding with it, variations per hour group 1 and variations per hour group 2, each variations per hour group comprises the times of collection of corresponding variations per hour, the accumulated value of variations per hour, the maximum of variations per hour and the minimum value of variations per hour.Wherein, the times of collection of this corresponding variations per hour promptly refers to: OAM gathers the number of times of corresponding variations per hour performance counter data.
In Fig. 5, predefined variations per hour group transformational relation is, calculates according to the variations per hour batch total that obtains to comprise: the mean value of variations per hour 0 and maximum; The mean value of variations per hour 1 and maximum; And, the transformational relation of the counter group of the mean value of variations per hour 2 and minimum value.Wherein, the mean value of variations per hour can be obtained by the times of collection of the variations per hour accumulated value in the variations per hour group divided by variations per hour.Thus, according to the variations per hour group that obtains, measuring period and this variations per hour group transformational relation in the predefined measurement task, the OAM subsystem can periodically obtain the variations per hour counter group that the user needs.Wherein, variations per hour group transformational relation is not limited to above-mentioned transformational relation, according to the variations per hour counter group of user's needs, but variations per hour group transformational relation respective change.For example, this variations per hour group transformational relation can also be: calculate according to the variations per hour batch total that obtains and comprise: the mean value of variations per hour 0 and minimum value; The mean value of variations per hour 1 and minimum value; And, the mean value of variations per hour 2 and maximum.Or, calculate according to the variations per hour batch total that obtains and to comprise: the mean value of variations per hour 0, maximum and minimum value; The mean value of variations per hour 1, maximum and minimum value; And, the mean value of variations per hour 2, maximum and minimum value.Further, as Fig. 5, in variations per hour group transformational relation, also comprise an end mark.OAM can judge whether to have finished conversion to all variations per hour groups according to this end mark.
Fig. 6 is the schematic flow sheet of the variations per hour performance counter acquisition method of the embodiment of the invention two.As Fig. 6, the variations per hour performance counter acquisition method of the embodiment of the invention two comprises the steps:
Step 601 in data source subsystems, is provided with the data read suction parameter of variations per hour performance counter to be collected, and special invalidated identification is set identifies invalid measuring object, as identify also the measuring object of normal operation with invalidated identification; Wherein, this data read suction parameter comprises: the counter group id, and maximum measuring object number, in the variations per hour sampling period, the variations per hour group is converted to the variations per hour group transformational relation of counter group, function reading or memory address; Wherein, this variations per hour performance counter is average or peak counter;
Step 604, data read suction parameter and default variations per hour collection period according to this registration, the OAM subsystem periodically calls the function reading of data source subsystems registration or periodically copy the time variant performance data that is stored in this memory address from the memory address of data source subsystems registration, to finish collection to variations per hour counter performance data, and the time variant performance data of gathering is converted to corresponding variations per hour group by predefined variations per hour transformational relation, and this variations per hour group is deposited in the pre-assigned memory cell; Wherein, this variations per hour group comprises: the peak value of the times of collection of variations per hour, the accumulated value of variations per hour and variations per hour;
Step 605, the OAM subsystem is according to the measuring period in this variations per hour group changed out and the predefined measurement task, periodically convert this variations per hour group to the counter group by predefined variations per hour group transformational relation, for example, the final counter group of giving the user that embodies;
Step 606, OAM subsystem be according to the sign of institute's image data, as, according to invalidated identification the information filtering of invalid measuring object is fallen, and the time variant performance data of the objects of statistics that need are reported reports webmaster.Exemplarily, the OAM subsystem can be provided with a variable and identify whether the data of being gathered are the data of effective measuring object by in step 601.For example, can be provided with when this variable gets 0, the corresponding data of expression are the data of definite measured object; When this variable got 1, the corresponding data of expression were the data of invalid measuring object.
The variations per hour group transformational relation that adopts among this embodiment two does not repeat them here with embodiment one.
The present invention also provides a kind of harvester of time variant performance data.Fig. 7 is the structural representation of the harvester of the embodiment of the invention.As Fig. 7, the harvester 700 of the embodiment of the invention comprises: be provided with the data source subsystems 701 of variations per hour performance counter and the operation management maintain OAM subsystem 702 that the variations per hour performance counter that data source subsystems provides is gathered, wherein, this data source subsystems 701 comprises:
Registering unit 704 is used for to OAM subsystem register data read suction parameter, and wherein, this data read suction parameter is corresponding with variations per hour performance counter to be collected, is used to read the data of this variations per hour performance counter to be collected;
Described OAM subsystem 702 comprises:
Variations per hour data acquisition unit 705 is used for data read suction parameter and default variations per hour collection period according to described registration, the performance data of periodically gathering described variations per hour performance counter;
Variations per hour converting unit 706 is used for the time variant performance data of described collection is converted to and the corresponding variations per hour group of described variations per hour by predefined variations per hour transformational relation;
Variations per hour group converting unit 707 is used for the measuring period according to described variations per hour group and predefined measurement task, periodically converts described variations per hour group to the counter group by predefined variations per hour group transformational relation, and reports.
Described device, wherein, described data source subsystems also comprises: the data read suction parameter is provided with the unit, is used to be provided with the data read suction parameter of variations per hour performance counter to be collected.
Described device, wherein, described that change out by predefined variations per hour relation, comprise with the corresponding variations per hour group of variations per hour: the times of collection of described variations per hour, the accumulated value of described variations per hour and the peak value of described variations per hour.
Described device, wherein, described data read suction parameter comprises: the function reading that is used to read described variations per hour performance counter data; Wherein, described reading unit also comprises:
The function reading call unit is used for periodically calling described function reading.
Described device, wherein, described data read suction parameter comprises: the memory address that is used to store described variations per hour performance counter data; Described reading unit also comprises:
The data copy cell is used for periodically from the described variations per hour performance counter data of described memory address copy.
Described device, wherein, described data source subsystems also comprises to the data read suction parameter of described OAM subsystem register: counter group id, maximum measuring object number, variations per hour collection period, and/or predefinedly be used to realize that the variations per hour group is converted to the described variations per hour group transformational relation of counter group.
Described device, wherein, described OAM subsystem also comprises:
Registration provides the unit, is used for providing registration function to described data source subsystems, registers described data read suction parameter for described data source subsystems.
The above only is a preferred implementation of the present invention; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (16)
1. the acquisition method of a time variant performance data is characterized in that, comprises the steps:
Step 1, the data source subsystems that is provided with the variations per hour performance counter is when initialization, to operation management maintain OAM subsystem register data read suction parameter, described data read suction parameter is corresponding with described variations per hour performance counter to be collected, is used to read the data of described variations per hour performance counter to be collected;
Step 2, described OAM subsystem is according to the data read suction parameter and the predefined variations per hour collection period of described registration, periodically gather the performance data of described variations per hour performance counter, and the time variant performance data of described collection is converted to and the corresponding variations per hour group of described variations per hour by predefined variations per hour transformational relation;
Step 3, described OAM subsystem periodically convert described variations per hour group to the counter group by predefined variations per hour group transformational relation according to the measuring period in described variations per hour group and the predefined measurement task.
2. method according to claim 1 is characterized in that, the described time variant performance data of gathering is converted to the corresponding variations per hour group of described variations per hour by predefined variations per hour transformational relation is:
The time variant performance data of described collection is converted to, comprises the variations per hour group of the peak value of the accumulated value of the times of collection of described variations per hour, described variations per hour and/or described variations per hour.
3. method according to claim 1 is characterized in that, comprises the transformational relation end mark in the described predefined variations per hour group transformational relation, in the described step 3, further comprises:
Described OAM subsystem judges whether to arrive the step of described end mark; In this way, then described OAM subsystem finishes the conversion of this time variations per hour group.
4. method according to claim 1 is characterized in that, described data read suction parameter comprises: the function reading that is used to read described variations per hour performance counter data;
In described step 2, the data that described OAM subsystem is periodically gathered described variations per hour performance counter comprise: described OAM subsystem periodically calls the step that described function reading is obtained described variations per hour performance counter data.
5. method according to claim 1 is characterized in that, described data read suction parameter comprises: the memory address that is used to store described variations per hour performance counter data;
In described step 2, the data that described OAM subsystem is periodically gathered described variations per hour performance counter comprise: described OAM subsystem is the step of the described variations per hour performance counter data of copy from described memory address periodically.
6. according to each described method among the claim 1-5, it is characterized in that, described data source subsystems also comprises to the data read suction parameter of described OAM subsystem register: counter group id, maximum measuring object number, variations per hour collection period, and/or predefinedly be used to realize that the variations per hour group is converted to the described variations per hour group transformational relation of counter group.
7. method according to claim 1 is characterized in that, described predefined variations per hour group transformational relation sets in advance in described data source subsystems.
8. according to each described method among the claim 1-5, it is characterized in that, in the described step 2, before described OAM subsystem is periodically gathered the data of described variations per hour performance counter, also comprise:
Described OAM subsystem filters out according to the data read suction parameter of described data source subsystems registration: the measurement task that the data of unregistered variations per hour performance counter in the described data source subsystems are gathered.
9. according to each described method among the claim 1-5, it is characterized in that, also comprise:
For measuring object invalid in the described data source subsystems is provided with invalidated identification; And
After collecting the data of described variations per hour performance counter or counter group, described OAM subsystem falls the information filtering of described invalid measuring object according to described invalidated identification.
10. according to each described method in claim 1-5 or 7, it is characterized in that the registration function that described data source subsystems provides by described OAM subsystem is to the described data read suction parameter of described OAM subsystem register.
11. the harvester of a time variant performance data, comprise data source subsystems that is provided with the variations per hour performance counter and the operation management maintain OAM subsystem that the variations per hour performance counter that described data source subsystems provides is gathered, it is characterized in that described data source subsystems comprises:
Registering unit is used for to OAM subsystem register data read suction parameter, and wherein, described data read suction parameter is corresponding with described variations per hour performance counter to be collected, is used to read the data of described variations per hour performance counter to be collected;
Described OAM subsystem comprises:
The variations per hour data acquisition unit is used for data read suction parameter and default variations per hour collection period according to described registration, the performance data of periodically gathering described variations per hour performance counter;
The variations per hour converting unit is used for the time variant performance data of described collection is converted to and the corresponding variations per hour group of described variations per hour by predefined variations per hour transformational relation;
Variations per hour group converting unit is used for the measuring period according to described variations per hour group and predefined measurement task, periodically converts described variations per hour group to the counter group by predefined variations per hour group transformational relation.
12. device according to claim 11, it is characterized in that, described that change out by predefined variations per hour transformational relation, comprise with the corresponding variations per hour group of variations per hour: the times of collection of described variations per hour, the accumulated value of described variations per hour and the peak value of described variations per hour.
13. device according to claim 11 is characterized in that, described data read suction parameter comprises: the function reading that is used to read described variations per hour performance counter data;
Described variations per hour data acquisition unit comprises:
The function reading call unit is used for periodically calling described function reading.
14. device according to claim 11 is characterized in that, described data read suction parameter comprises: the memory address that is used to store described variations per hour performance counter data;
Described variations per hour data acquisition unit comprises:
The data copy cell is used for periodically from the described variations per hour performance counter data of described memory address copy.
15. according to each described device among the claim 11-14, it is characterized in that, described data source subsystems also comprises to the data read suction parameter of described OAM subsystem register: counter group id, maximum measuring object number, variations per hour collection period, and/or predefinedly be used to realize that the variations per hour group is converted to the described variations per hour group transformational relation of counter group.
16., it is characterized in that described OAM subsystem also comprises according to each described device among the claim 11-14:
Registration provides the unit, is used for providing registration function to described data source subsystems, registers described data read suction parameter for described data source subsystems.
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| CN1697404A (en) * | 2005-06-10 | 2005-11-16 | 广东省电信有限公司研究院 | System and method for detecting network worm in interactive mode |
| CN1741460A (en) * | 2004-08-23 | 2006-03-01 | 华为技术有限公司 | Method and system for realizing telecommunication network universal performance management |
| CN1859196A (en) * | 2006-04-13 | 2006-11-08 | 吉林大学 | Telecommunication field network data acquisition processing system based on rule and realizing method |
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| CN1741460A (en) * | 2004-08-23 | 2006-03-01 | 华为技术有限公司 | Method and system for realizing telecommunication network universal performance management |
| CN1697404A (en) * | 2005-06-10 | 2005-11-16 | 广东省电信有限公司研究院 | System and method for detecting network worm in interactive mode |
| CN1859196A (en) * | 2006-04-13 | 2006-11-08 | 吉林大学 | Telecommunication field network data acquisition processing system based on rule and realizing method |
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