CN101631401A - Method and device for managing data of multiple base stations - Google Patents
Method and device for managing data of multiple base stations Download PDFInfo
- Publication number
- CN101631401A CN101631401A CN200910107666A CN200910107666A CN101631401A CN 101631401 A CN101631401 A CN 101631401A CN 200910107666 A CN200910107666 A CN 200910107666A CN 200910107666 A CN200910107666 A CN 200910107666A CN 101631401 A CN101631401 A CN 101631401A
- Authority
- CN
- China
- Prior art keywords
- data
- file
- base station
- data file
- raw data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses a method and a device for managing data of multiple base stations. The method comprises the following steps: establishing an initial data file and acquiring data by each base station in each acquisition cycle, writing the data acquired in the acquisition cycle into the initial data file established in the acquisition cycle and transmitting the initial data file to a data cache server through a file transmission protocol; and integrating the initial data files within a data integration range into an integrated data file by the data cache server in each data integration cycle. The device comprises the data cache server and data acquisition modules arranged in each base station. The invention can improve the data transmission efficiency during data management and lighten network loads.
Description
Technical field
The present invention relates to moving communicating field, specifically, relate to a kind of data managing method and device of many base stations.
Background technology
Along with the continuous upgrading of mobile communication system equipment, power system capacity constantly enlarges, and the also rapid increase of the data volume in the system is for data management has brought a suitable difficult problem.For example, along with the continuous lifting of data traffic speed, distributed base station becomes main flow gradually, as goes to BSC (base station controller) base station.In distributed base station, characteristics such as OMC (operation maintenance center) links to each other with the base station by Ethernet, and it is many to have the base station data amount, and data are huge.With the little base station system of Wimax is example, and an OMC (operation maintenance center) may safeguard thousands of stylobates station, even stylobates up to ten thousand station, gathers hundreds of data from each base station, and data volume is very huge.If adopt existing data management mode based on message mechanism, may cause clogged with messages, loss of data, even abominable problem such as network paralysis, influence the communication system normal function.
Existing data management mode when transferring data to OMC in the base station, all is based on transmission of messages mechanism, has following shortcoming:
(1) the entrained data volume of message is limited, and the interacting message enormous amount has increased the weight of offered load;
(2) data of base station send and to have suddenly, form the message storm easily;
(3) do not have metadata cache mechanism, can't support the data acquisition of many granularities.
As can be seen, existing data management mode can't adapt to the management of the mass data of present base station, particularly distributed base station.
Summary of the invention
In view of this, the invention provides a kind of data managing method and device of many base stations, be adapted to the management of present base station mass data, the efficiency of transmission when improving data management.
In order to solve technique scheme, the present invention has adopted following technical scheme:
A kind of data managing method of many base stations comprises the steps:
A raw data file and image data are created at each collection period in A, each base station, the data that this collection period is collected write the described raw data file that this collection period is created, and by file transfer protocol (FTP) described raw data file are sent to the data buffering server;
B, data buffering server are in each data integration period, and the described raw data file that will belong in this secondary data integration scope is integrated into the integral data file.
In a kind of embodiment of above-mentioned data managing method, described file transfer protocol (FTP) is a File Transfer Protocol.
In a kind of embodiment of above-mentioned data managing method, also comprise: operation maintenance center reads described integral data file, and the resolution file data deposit the data that parse in database.
In a kind of embodiment of above-mentioned data managing method, among the described step B, the assignment file that the data buffering server is provided with by the read operation maintenance centre obtains described data integration period and data are integrated scope.
In a kind of embodiment of above-mentioned data managing method, also comprise: between each base station, send described raw data file separately to the data buffering server in regular turn by serial mode.
In a kind of embodiment of above-mentioned data managing method, also comprise: each base station was compressed described raw data file before sending raw data file to the metadata cache server.
In a kind of embodiment of above-mentioned data managing method, also comprise: the data buffering server decompresses to the raw data file that compresses before data are integrated.
In a kind of embodiment of above-mentioned data managing method, each base station preset buffer memory thresholding, when the raw data file of buffer memory exceeded described buffer threshold, deletion exceeded the raw data file of described buffer threshold.
In a kind of embodiment of above-mentioned data managing method, each base station retransfers in the transmission idle periods after transmitting the raw data file failure.
In a kind of embodiment of above-mentioned data managing method, also comprise: the data buffering server is preset buffer circle, when buffer circle arrives, and the raw data file that deletion is exceeded the time limit.
The invention also discloses a kind of data administrator of many base stations, comprise data buffering server and the data acquisition module that is arranged on each base station; Wherein,
The data acquisition module of each base station, be used for creating a raw data file and gathering the data of this base station at each collection period, the data that this collection period is collected write the described raw data file that this collection period is created, and by file transfer protocol (FTP) described raw data file are sent to the data buffering server;
The data buffering server is used in each data integration period, and the described raw data file that will belong in this secondary data integration scope is integrated into the integral data file.
The present invention, by the data buffering server is set, base station timing acquiring data, write data into the raw data file of creating in the collection period, by the file transfer mode raw data file is sent to the data buffering server, the data buffering server can be integrated the raw data file implementation data in the data integration scope in default data integration period, forms the integral data file.Data transmission efficiency in the time of can improving data management alleviates offered load.
Description of drawings
The description that Fig. 1 is exemplary network element structure of the present invention;
The description that Fig. 2 is exemplary the reciprocal process of data management of the present invention;
The description that Fig. 3 is exemplary the handling process of data management of the present invention.
Embodiment
Below in conjunction with accompanying drawing concrete aforesaid way of the present invention is elaborated.
As shown in Figure 1, in one embodiment of the invention, the network element of data management mainly comprises base station, data buffering server, OMC.In Fig. 1, the base station is exemplary comprises 120,2 base stations 140,1 base station, N base station 160, obviously, the quantity of base station is not construed as limiting, its type also is not limited to not contain the distributed base station of base station controller (BSC), can be the centralized base station (managing a plurality of base stations under the BSC) that has BSC equally.A plurality of base stations are by the network switching equipment, and for example illustrated switch 180 carries out with data buffering server 200 alternately.
In this article, data management has implication widely, comprises data acquisition, transfer of data, data integration or the like various types of data processing forms.The data mode of being managed also is diversified, will be that example is described data management of the present invention with the performance data statistics of distributed base station below.The performance data of distributed base station mainly includes but not limited to: the equipment operation condition performance data of equipment manufacturers, performance datas such as the system resource of operator, telephone traffic, the quality of service data of third party service provider, content supplier, commercial provider, and data such as User Activity track, tendency hobby and market trend.
Data management, at first from the data acquisition of base station, this can be undertaken by the data acquisition module that is arranged on the base station.Concrete, in this routine performance data collection, the data acquisition module that claims the base station is the performance statistics agency.
Performance statistics agency is distributed in each base station, mainly be responsible for performance data collection, raw data file safeguard, to functions such as upload file of data buffering server and the maintenances of file buffering space.The performance statistics that resides on each base station is acted on behalf of concurrent working, according to P granularity (being that collection period is P) continuous collecting performance statistic.
Performance statistics agency is the collection period that the timer of P is determined the P granularity by duration is set, and create a raw data file at each collection period, then carry out performance data collection by function interface or message interface, carry out simple mathematical statistics, for example comprise computings such as maximizing, minimum value, mean value, summation, the performance data that collects in this collection period is written to the corresponding raw data file that this collection period is created.After timer P was overtime, a newly-built raw data file carried out the data acquisition of next collection period and writes file.
After writing of at least one raw data file finished, the performance statistics of each base station agency will transmit raw data file to data buffering server 200 by file transfer protocol (FTP).In the present embodiment, file transfer protocol (FTP) has adopted FTP (File Transfer Protocol, file transfer protocol (FTP)) agreement, certainly, also can use other file transfer protocol (FTP) to carry out the transmission of raw data file.Upload the network congestion that data cause in order to prevent each performance statistics agency burst simultaneously, in the present embodiment, postpone the regular hour difference between each performance statistics agency and carry out the transmission of raw data file, also be, each performance statistics agency adopts serial mode (to it should be noted that, may exist between two performance statistics agents and send at interval, also may not exist and send at interval, only need to guarantee not send simultaneously and get final product), according to predefined user name, password and IP address write raw data file separately the respective directories of data buffering server 200 successively.Order of transmission between each performance statistics agency is arbitrarily, for example can adopt send mode in turn, also can adopt the send mode that priority is set.Because the performance statistics agency adopts serial mode to carry out uploading of raw data file, therefore, a raw data file will be difficult to immediately uploading of (promptly finish at its collection period, the data that this cycle collects writing when finishing) usually, and have certain transmission lag.Can calculate the transmission lag time of the raw data file of each base station according to pre-defined algorithm, pre-defined algorithm can be provided with according to actual needs, for example, the transmitting time that can at first determine each raw data file needs 10 seconds, so, 1 base station 120 postpones transmission in 0 second, and 2 base stations 140 postpone transmission in 10 seconds, and 160 time-delays of N base station sent in 20 seconds.And in some cases, the also instant transmission lag time to each base station of pre-defined algorithm is adjusted, for example, when the transmission priority that is provided with some base station when (this will help better to monitor the performance condition of this base station), for example, 1 base station 120 has transmission priority, carry out file in 2 base stations 140 when uploading, 1 base station 120 need be carried out new file and be uploaded, then adjust 160 time-delays of N base station sent in 30 seconds, and 2 base stations, 140 files upload finish after, insert the new file of 1 base station 120 to upload, carry out the file of N base station 160 again and upload.In addition, performance statistics is acted on behalf of startup file and is uploaded, and the mode of can taking the initiative also can adopt passive mode.Active mode is that performance statistics was acted on behalf of according to its time of delay, after arriving time of delay, carries out file and uploads; Passive mode is a data buffering server 200 the file of a certain base station upload finish after, send file to predetermined next base station and upload indication.Dual mode, its pluses and minuses are respectively arranged, active mode has reduced the transinformation content between base station and the data buffering server, but a base station may occur and not upload file in the given time, startup file is uploaded and next base station is because delay time arrives, thereby file occurs and upload conflict; Otherwise passive mode then, though avoided file to upload the possibility of conflict, increased the mutual amount of information.
The performance statistics agency also is provided with failure treatment mechanism and the file cache mechanism uploaded.Upload the failure treatment mechanism and be meant, wait for that then the FTP service of data buffering server 200 is uploaded during the free time again if raw data file is uploaded failure.For this reason, can on each performance statistics agency's file, crossing reserve certain transmission at interval, for example, as mentioned above, the transmitting time of each raw data file needs 10 seconds, 1 base station 120 can be set postpone transmission in 0 second, 2 base stations 140 postpone transmission in 20 seconds, and 160 time-delays of N base station sent in 40 seconds.So, have between each base station 10 seconds transmission at interval, the FTP service idle periods that can be used as data buffering server 200 realizes that failure retransmits.Certainly, failure retransmits also and can take turns after file uploads end one, and new round file is uploaded to concentrate before the beginning and carried out.File cache mechanism is meant that the performance statistics agency understands its raw data file of buffer memory, and assurance can be obtained historical data where necessary again, certainly, carry out for preventing that buffer memory is unconfined, also preset buffer threshold for buffer memory, when file surpasses buffer threshold, then delete the file that exceeds buffer threshold automatically.Buffer threshold, be provided with according to the two dimensional constraint strategy based on time and space, the spatial limitation that buffer threshold for example can be set is 100M, and time restriction is 7 days, then after the raw data file of buffer memory surpasses 100M, with the raw data file deletion of acquisition time above 7 days.
In one embodiment of the invention, can compress raw data file, squeeze operation was for example carried out before sending raw data file to the metadata cache server, thus the data volume can reduce Network Transmission the time; Perhaps, can before the buffer memory raw data file, carry out, thereby can reduce raw data file occupied memory space when buffer memory.
As shown in Figure 2, the main buffer memory of being responsible for raw data files of data buffering server 200, integrate the original performance data and the FTP service provides according to the performance statistics task.Data buffering server 200 is the bridges that connect base station and OMC (operation maintenance center) 220, and wherein data buffering server and base station are linked by Ethernet, are linked by modes such as Ethernet or share service devices with OMC (operation maintenance center).
On the data buffering server 200, management has raw data file pond 202 and integral data file pond 203 usually, and raw data file pond 202 is used for storing a plurality of raw data files that transmit on each base station; Integral data file pond 203 then is used for storing the integral data file that data buffering server 200 is integrated out from a plurality of raw data files.
Be similar to the buffer threshold setting of base station, data buffering server 200 can be provided with the data buffering cycle equally, deletes raw data file and/or the integral data file that exceeds the time limit according to the predefined data buffering cycle.In addition, can also whether change, delete the integral data file according to the acquisition granularity.Such disk space is safeguarded and will be guaranteed that data buffering server 200 has sufficient memory space.In addition, when assignment file 201 reads failure, can continue to integrate raw data file according to the acquisition granularity of last time.
In this way, data buffering server 200 has following function: (1) can alleviate the warehouse-in pressure of OMC (operation maintenance center); (2) can support the performance statistics of many granularities (the acquisition granularity NP can adjust arbitrarily); (3) can realize the secondary supplement collection of obliterated data; (4) the FTP service transmits the guarantee that provides the foundation for file.
OMC (operation maintenance center) 220 is responsible for providing human-computer interaction interface, and human-computer interaction interface can be provided with task for the user, provides performance to check that view is for checking performance statistic.OMC (operation maintenance center) 220 reads the performance statistics mission bit stream that the user is provided with, and writes the assignment file in the data buffering server 200; Read the integral data file from data buffering server 200, the resolution file data, and deposit the data that parse in database; And can provide interface for upper layer NMS.
When reading the failure of integral data file, can wait for then that other integral data files read to finish, read the aforementioned file that reads failure again.
The present invention adopts based on file transfer protocol (FTP), and especially the data transfer mode of File Transfer Protocol has improved the data transmission efficiency in the data management.The big capacity storage space that the data buffering server provides can guarantee that raw data file can the buffer memory regular hour, realizes the secondary supplement collection to obliterated data, has reduced the probability of loss of data.File uplink time to each base station sorts, and has avoided the generation of " message storm ", has alleviated the pressure of offered load.Therefore, the present invention can adapt to the Mass Data Management of many base stations.
Need to prove that the data buffering server among the present invention can be the separate server with mass data caching function of operator or third party's mass data caching server of renting, also can be to integrate plate level server with switch.General, the data buffering server also comprises processor except massage storage, can run application, and is used to provide functions such as FTP service, performance data integration, disk space maintenance.
The present invention is not only applicable to the distributed base station performance statistics, as Wimax base station, the LTETDD base station etc. of declining that distribute, also is applicable to the class distributed base station of band BSC (base station controller), as CDMA 2000 base stations, WCDMA base station and TDS-CDMA base station etc.
Below with reference to Fig. 3, data stewardship program of the present invention is described further with an example.At first each network element (referring to Fig. 1) in the data management is done an explanation.
In this example, the base station is a distributed base station, 120,2 base stations 140,1 base station promptly shown in Figure 1 ..., N base station 160.Separate between each base station, be not subjected to other network element control, directly be connected with the network switching equipment.Performance statistics the agency reside on each base station, and each base station is a node on the Ethernet, is linked by the transmission medium and the network switching equipment, as twisted-pair feeder.
Switch 180 is the core constitution equipment of Ethernet as the network switching equipment, finishes the function such as route querying, packet forwarding of each node.The bridge joint effect that switch 180 is responsible between distributed base station and the data buffering server 200 is the communication medium of the two.Each distributed base station communicates by switch 180 and data buffering server 200.180 responsible transparent data transmission of switch.The scale of switch 180 is relevant with the number of distributed base station, is greater than the number of base station as the interface number of all switches.
Wherein, the third-party server that the data buffering server can use server independently or rent, also can with OMC (operation maintenance center) share service device.In the present embodiment, the data buffering server is an independently server, shares a frame with the network switching equipment.
OMC (operation maintenance center) 220, independently the base station Element management system is communicated by letter with data buffering server 200 by the Ethernet transmission medium, is user and the mutual interface of base station network element.On the one hand, OMC (operation maintenance center) 220 receives the task message that the user is provided with, and writes data buffering server 200; Obtain the performance statistic (integral data file) of data buffering server on the other hand, for the user provides visualization display.
Need to prove that the performance statistics that resides on the base station is acted on behalf of the continuous collecting performance data, and be uploaded to data buffering server 200.When OMC (operation maintenance center) 220 did not have mission bit stream, data buffering server 200 no longer carries out data to be integrated, and OMC (operation maintenance center) 220 also can not read the performance statistic of integration.
For the convenience of describing, present embodiment hypothesis P timer duration is 5 minutes, the NP length of timer is 5 minutes, 10 minutes, 15 minutes etc., and the original performance data acquiescence on the data buffering server kept 7 days, and the performance data of 5000 distributed base stations is added up.
S1002, performance statistics agency, data buffering server and the various parameter initializations of OMC (operation maintenance center).
The performance statistics proxy initialization comprises that performance statistics agency will read and write the buffering area zero clearing, starts a duration and be 5 minutes timer, calculated data transmission lag duration etc.Wherein, data transmission lag duration calculation method is as follows in the present embodiment:
DelaySendingDur=(P*60*1000)/BtsNum)*SystemId
Wherein, BtsNum is a total number of base, is 5000, and SystemId is the system number of this base station, and scope is 0 to 4900, and DelaySendingDur is a data transmission lag duration, and unit is a millisecond.
The initialization of data buffering server comprises application program newly-built acquiescence task in assignment file, and raw data file pond, integral data file pond are emptied, and starts FTP service etc.
OMC (operation maintenance center) initialization comprises starting server (OMC server), linked database, newly-built acquiescence task dispatching.
S1004, each performance statistics is acted on behalf of the parallel acquisition performance data, carries out mathematical statistics, writes data buffer zone etc.
S1006, behind 5 minutes timer expiries, log-on data transmission lag timer, and restart 5 minutes timers.Deng pending data transmission lag timer expiry, send data to the data buffering server.Data transmission lag timer duration can be calculated according to step S1002 less than 5 minutes, was 60000 milliseconds such as the data transmission lag timer duration of No. 1000 base stations.
S1008, the performance statistic file of the application program retrieve data buffering area on the data buffering server, according to pre-defined algorithm, delete old performance statistic file, the promptly aforesaid raw data file that surpasses the data buffer circle, for example, the data buffering cycle is 7 days, this information of acquisition time in the raw data file of uploading according to the base station then, the deletion life cycle surpasses 7 days file, guarantees that it has sufficient memory space.
S1010, the application program on the data buffering server reads assignment file, obtains performance statistics granularity (the acquisition granularity) NP, according to current system time the NP timer duration is proofreaied and correct, and starts the NP timer.For example, the performance statistics granularity is 15 minutes, and current system time is 2009-04-25 08:12:00:00, and then the duration of the timer NP of Jiao Zhenging is 180000 milliseconds, promptly 3 minutes.This is because generally speaking, and when the performance statistics granularity was set to 15 minutes, the user wished to see data at 15 minutes integral multiple point, 12:00 for example, 12:15,12:30 or the like.Therefore, find that behind startup of server current system time is not 15 minutes an integral multiple point, will do certain correction to the NP timer duration, the NP timer duration when starting is set to the time span from current system time to next 15 hours.Such as, present time is 2009-04-25 08:12:00:00, the NP timer duration during startup just is the time span of 2009-04-25 08:12:00:00 to 2009-04-25 08:15:00:00, also is that duration is 3 minutes.And from next granularity, the NP timer duration reverts to 15 minutes of performance collection granularity, and promptly the NP timer duration of next granularity is the time span from 2009-04-25 08:15:00:00 to 2009-04-2508:30:00:00, and the rest may be inferred.
S1012, NP is overtime when timer, then restarts this timer.
S1014, OMC (operation maintenance center) read the mission bit stream that the user is provided with, and write data buffering server task file.
S1016, the application program retrieval on the data buffering server belongs to original performance data file, packing and the compression of granularity NP, waits for that OMC (operation maintenance center) reads.
S1018, the integration performance statistic on OMC (operation maintenance center) the reading of data buffer server carries out data parsing, deposits database in.
S1020, the user checks performance statistic by human-computer interaction interface, and provides interface for upper layer NMS.
Above content be in conjunction with concrete preferred implementation to further describing that the present invention did, but this example of just lifting for ease of understanding should not think that concrete enforcement of the present invention is confined to these explanations.For the general technical staff of the technical field of the invention, without departing from the inventive concept of the premise, can make various possible being equal to and change or replacement, these changes or replacement all should belong to protection scope of the present invention.
Claims (11)
1. the data managing method of base station more than a kind is characterized in that, comprises the steps:
A raw data file and image data are created at each collection period in A, each base station, the data that this collection period is collected write the described raw data file that this collection period is created, and by file transfer protocol (FTP) described raw data file are sent to the data buffering server;
B, data buffering server are in each data integration period, and the described raw data file that will belong in this secondary data integration scope is integrated into the integral data file.
2. data managing method as claimed in claim 1 is characterized in that, described file transfer protocol (FTP) is a File Transfer Protocol.
3. data managing method as claimed in claim 1 or 2 is characterized in that, also comprises: operation maintenance center reads described integral data file, and the resolution file data deposit the data that parse in database.
4. data managing method as claimed in claim 1 is characterized in that, among the described step B, the assignment file that the data buffering server is provided with by the read operation maintenance centre obtains described data integration period and data are integrated scope.
5. data managing method as claimed in claim 1 is characterized in that, also comprises: between each base station, send described raw data file separately to the data buffering server in regular turn by serial mode.
6. data managing method as claimed in claim 1 is characterized in that, also comprises: each base station was compressed described raw data file before sending raw data file to the metadata cache server.
7. data managing method as claimed in claim 6 is characterized in that, also comprises: the data buffering server decompresses to the raw data file that compresses before data are integrated.
8. data managing method as claimed in claim 1 is characterized in that, each base station preset buffer memory thresholding, and when the raw data file of buffer memory exceeded described buffer threshold, deletion exceeded the raw data file of described buffer threshold.
9. data managing method as claimed in claim 1 is characterized in that, each base station retransfers in the transmission idle periods after transmitting the raw data file failure.
10. data managing method as claimed in claim 1 is characterized in that, also comprises: the data buffering server is preset buffer circle, when buffer circle arrives, and the raw data file that deletion is exceeded the time limit.
11. the data administrator of base station is characterized in that more than one kind, comprises data buffering server and the data acquisition module that is arranged on each base station; Wherein,
The data acquisition module of each base station, be used for creating a raw data file and gathering the data of this base station at each collection period, the data that this collection period is collected write the described raw data file that this collection period is created, and by file transfer protocol (FTP) described raw data file are sent to the data buffering server;
The data buffering server is used in each data integration period, and the described raw data file that will belong in this secondary data integration scope is integrated into the integral data file.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN200910107666A CN101631401A (en) | 2009-06-04 | 2009-06-04 | Method and device for managing data of multiple base stations |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN200910107666A CN101631401A (en) | 2009-06-04 | 2009-06-04 | Method and device for managing data of multiple base stations |
Publications (1)
Publication Number | Publication Date |
---|---|
CN101631401A true CN101631401A (en) | 2010-01-20 |
Family
ID=41576285
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN200910107666A Pending CN101631401A (en) | 2009-06-04 | 2009-06-04 | Method and device for managing data of multiple base stations |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN101631401A (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103188702A (en) * | 2011-12-29 | 2013-07-03 | 中兴通讯股份有限公司 | Device performance reporting and statistical method, distributed devices, general control device and system |
CN105119769A (en) * | 2015-07-01 | 2015-12-02 | 北京梅泰诺通信技术股份有限公司 | System for time hashing of periodic data report |
CN109600776A (en) * | 2017-09-30 | 2019-04-09 | 中兴通讯股份有限公司 | A kind of method, device and equipment of data interaction |
CN112637875A (en) * | 2020-12-22 | 2021-04-09 | 超讯通信股份有限公司 | Method for remotely managing small base stations in batch |
CN114339826A (en) * | 2021-11-30 | 2022-04-12 | 浙江三维利普维网络有限公司 | Performance data file generation method and device, storage medium and electronic device |
-
2009
- 2009-06-04 CN CN200910107666A patent/CN101631401A/en active Pending
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103188702A (en) * | 2011-12-29 | 2013-07-03 | 中兴通讯股份有限公司 | Device performance reporting and statistical method, distributed devices, general control device and system |
WO2013097437A1 (en) * | 2011-12-29 | 2013-07-04 | 中兴通讯股份有限公司 | Device performance reporting and counting method, distributed device, general control device and system |
CN105119769A (en) * | 2015-07-01 | 2015-12-02 | 北京梅泰诺通信技术股份有限公司 | System for time hashing of periodic data report |
CN105119769B (en) * | 2015-07-01 | 2018-04-17 | 北京梅泰诺通信技术股份有限公司 | It is a kind of that the system for carrying out time hash is reported to periodic data |
CN109600776A (en) * | 2017-09-30 | 2019-04-09 | 中兴通讯股份有限公司 | A kind of method, device and equipment of data interaction |
CN109600776B (en) * | 2017-09-30 | 2022-03-04 | 中兴通讯股份有限公司 | Data interaction method, device and equipment |
CN112637875A (en) * | 2020-12-22 | 2021-04-09 | 超讯通信股份有限公司 | Method for remotely managing small base stations in batch |
CN112637875B (en) * | 2020-12-22 | 2023-07-14 | 超讯通信股份有限公司 | Method for remote batch management of small base stations |
CN114339826A (en) * | 2021-11-30 | 2022-04-12 | 浙江三维利普维网络有限公司 | Performance data file generation method and device, storage medium and electronic device |
CN114339826B (en) * | 2021-11-30 | 2024-01-26 | 浙江三维利普维网络有限公司 | Performance data file generation method and device, storage medium and electronic device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106549806B (en) | A kind of network slice manager and its management method | |
CN103152393B (en) | A kind of charging method of cloud computing and charge system | |
CN107390650A (en) | A kind of data collecting system based on Internet of Things and the data compression method based on the system | |
CN104699736B (en) | A kind of distributed larger scale data acquisition system and method based on movable equipment | |
CN101631401A (en) | Method and device for managing data of multiple base stations | |
CN102045197B (en) | Alarm data synchronization method and network management system | |
CN101426024B (en) | Data flow controlling method, system and apparatus | |
CN102137139A (en) | Method and device for selecting cache replacement strategy, proxy server and system | |
CN106101264B (en) | Content distributing network log method for pushing, device and system | |
CN107819626A (en) | The method and system of load equalizer adjustment distribution are realized based on daily record monitoring analysis | |
CN103379140A (en) | Log processing rule synchronization method and relative device and system | |
CN108599992A (en) | A kind of data processing system and method | |
CN113438129B (en) | Data acquisition method and device | |
CN110784779A (en) | Data acquisition method of electricity consumption information acquisition system | |
CN113630616A (en) | Live broadcast edge node resource control method and system | |
CN107135088A (en) | The method and apparatus that daily record is handled in cloud computing system | |
CN102497450A (en) | Two-stage-system-based distributed data compression processing method | |
CN102098170B (en) | Data acquisition optimization method and system | |
CN103530335A (en) | In-stockroom operation method and device of electric power measurement acquisition system | |
Kong et al. | Mitigating server-side congestion in the Internet through pseudoserving | |
CN106899678A (en) | High-efficiency data transmission method and system for dynamically balancing energy Internet network bandwidth | |
CN104205730A (en) | Network element data access method, device and network management system | |
CN100413248C (en) | Improved method and system for carrying out charging based on flow | |
CN101083561A (en) | Method for summarizing and reporting XDSL user connection parameter to network management | |
CN101494568A (en) | Method for shortening performance alarm generation |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C12 | Rejection of a patent application after its publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20100120 |