CN109947850A - Data distributing method, device and equipment - Google Patents

Data distributing method, device and equipment Download PDF

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Publication number
CN109947850A
CN109947850A CN201910182385.0A CN201910182385A CN109947850A CN 109947850 A CN109947850 A CN 109947850A CN 201910182385 A CN201910182385 A CN 201910182385A CN 109947850 A CN109947850 A CN 109947850A
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China
Prior art keywords
data
identified
node
type
identification information
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Pending
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CN201910182385.0A
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Chinese (zh)
Inventor
金玲玲
饶东升
罗腾法
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Shenzhen Lingtu Huishi Technology Co Ltd
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Shenzhen Lingtu Huishi Technology Co Ltd
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Priority to CN201910182385.0A priority Critical patent/CN109947850A/en
Publication of CN109947850A publication Critical patent/CN109947850A/en
Pending legal-status Critical Current

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Abstract

This application discloses data distributing method, device and equipment, this method comprises: determining the data type of the first data in the first data set according to the first preset strategy;When the data type is target type, by first data distribution to downstream node, so that first data are stored in the second data set by the downstream node.In the scheme of the embodiment of the present invention, by disposing multiple nodes, the data for the identification database being stored in upstream node or data center server are distributed to downstream node according to preset strategy, node that so can be nearest to user by the data distribution needed for user, without the total data of identification database is supplied to user, the network distance between user and required data had both been shortened in this way, has achieved the effect that acceleration, in turn ensured the safety of data.

Description

Data distributing method, device and equipment
Technical field
This application involves computer processing technical fields, in particular to data distributing method, device and equipment.
Background technique
In recent years, intelligent identification technology is rapidly developed and is widely used, such as image recognition, speech recognition, people Face identification etc..This is a kind of based on known identification database, analyzes data to be identified using computer or embedded device, And then a special kind of skill of data to be identified is detected using identification database sample data.Identification database is storable in calculating Machine or embedded device are local, also can store beyond the clouds.Storage can save the local of computer or embedded device beyond the clouds Memory space, but due to being limited by network technology, identification information totally cannot be rapidly obtained, therefore in many application scenarios Identification database can only be supplied to user and be stored in local, this makes the data presence of entire identification database be stolen or let out The risk of dew.
Summary of the invention
In view of problem above, the embodiment of the present invention provides data distributing method, device and equipment, can solve above-mentioned back The technical issues of scape technology segment is mentioned.
The data distributing method of embodiment according to the invention, comprising: the first data set is determined according to the first preset strategy In the first data data type;When the data type is target type, by first data distribution to downstream joint Point, so that first data are stored in the second data set by the downstream node.
The data delivery device of embodiment according to the invention, comprising: determining module, for true according to the first preset strategy The data type of the first data in fixed first data set;Distribution module is used for when the data type is target type, will First data distribution is to downstream node, so that first data are stored in the second data set by the downstream node.
The electronic equipment of embodiment according to the invention, comprising: processor;And memory, it is stored thereon with executable Instruction;Wherein, the processor is configured to execute the executable instruction to implement data distributing method above-mentioned.
The computer readable storage medium of embodiment according to the invention is stored thereon with computer program, the calculating Machine program includes executable instruction, when the executable instruction is executed by processor, implements data distributing method above-mentioned.
In the scheme of the embodiment of the present invention, by disposing multiple nodes, upstream node or data center's clothes will be stored in The data of identification database in business device are distributed to downstream node according to preset strategy, so can be by the data distribution needed for user The node nearest to user treats user using nearest node and knows data and identify, without by identification database Total data be supplied to user, both shortened the network distance between user and required data in this way, and achieved the effect that acceleration, In turn ensure the safety of data.
Detailed description of the invention
Fig. 1 is that present invention could apply to exemplary system architecture figures therein;
Fig. 2 is the flow chart of the data distributing method of one embodiment of the invention;
Fig. 3 is the flow chart of the data distributing method of another embodiment of the present invention;
Fig. 4 is the schematic diagram of the data delivery device of one embodiment of the invention;
Fig. 5 is the schematic diagram of the electronic equipment of one embodiment of the invention.
Specific embodiment
Theme described herein is discussed referring now to example embodiment.It should be understood that discussing these embodiments only It is in order to enable those skilled in the art can better understand that being not to claim to realize theme described herein Protection scope, applicability or the exemplary limitation illustrated in book.It can be in the protection scope for not departing from present disclosure In the case of, the function and arrangement of the element discussed are changed.Each example can according to need, omit, substitute or Add various processes or component.For example, described method can be executed according to described order in a different order, with And each step can be added, omits or combine.In addition, feature described in relatively some examples is in other examples It can be combined.
As used in this article, term " includes " and its modification indicate open term, are meant that " including but not limited to ". Term "based" indicates " being based at least partially on ".Term " one embodiment " and " embodiment " expression " at least one implementation Example ".Term " another embodiment " expression " at least one other embodiment ".Term " first ", " second " etc. may refer to not Same or identical object.Here may include other definition, either specific or implicit.Unless bright in context It really indicates, otherwise the definition of a term is consistent throughout the specification.
In being described below, for illustration and not for limitation, propose such as specific system structure, interface, technology it The detail of class, to understand thoroughly the present invention.However, it will be clear to one skilled in the art that there is no these specific The present invention also may be implemented in the other embodiment of details.In other situations, omit to well-known device, circuit with And the detailed description of method, in case unnecessary details interferes description of the invention.
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase Mutually combine.The present invention will be described in detail below with reference to the accompanying drawings and embodiments.
Fig. 1 is shown can be using the exemplary system frame of one embodiment of data distributing method or device of the invention Structure.
As shown in Figure 1, system 100 may include terminal 102, fringe node 104,106 and 108,110 and of middle layer node 112 and data center server 114.The being given for example only property of number of above equipment illustrates the principle of the present invention, not right The present invention is construed as limiting.System 100, which can be, carries out tissue with level shape structure, wherein data center server 114 is located at The top layer of level shape structure, fringe node 104,106 and 108 are located at the bottom of level shape structure, are located at data center and take It is engaged between device 114 and fringe node 104,106,108 being middle layer node 110 and 112.It should be noted that different In system, topological structure may be different, such as may include the middle layer node of multilayer, or do not include middle layer section Point.
The operation that terminal 102 responds user sends identification request to system 100, wherein identification request carries number to be identified According to.I.e. user can send data to be identified to system 100 by terminal 102 and receive the data to be identified that system 100 returns Identification information.Terminal 100 is STB (Set Top Box, set-top box), router or UE (User Equipment, user terminal) Deng.In the embodiment of the present application, terminal 102 can be implemented in a variety of manners.For example, may include such as mobile phone, intelligence Phone, laptop, digit broadcasting receiver, PDA (personal digital assistant), PAD (tablet computer), PMP (portable more matchmakers Body player) etc. mobile terminal and such as desktop computer etc. fixed terminal.
Fringe node 104,106,108 and middle layer node 110,112 are node server, in the embodiment of the present application, It is illustrated by taking fringe node 104 as an example, 104 access terminal 102 of fringe node, for receiving the to be identified of the transmission of terminal 102 Data, alternatively, the identification information of data to be identified is sent to terminal 102.It is illustrated by taking middle layer node 110 as an example, in Between 110 edge node for access 104,106 of node layer, for receive fringe node 104,106 transmission data to be identified, alternatively, The identification information of data to be identified is sent to fringe node 104,106.
Data center server 114 accesses middle layer node 110 and 112, sends out for receiving middle layer node 110 and 112 The data to be identified sent, alternatively, the identification information of data to be identified is sent to middle layer node 110 and 112.Data center's clothes Business device 114 is stored with the total data of the identification database for being identified to data to be identified, and node server receives number Press the data of preset strategy distribution according to central server 114 or upstream node, the data that different node servers are stored can be with It is identical can not also be identical, data center server 114 or upstream node can distribute data to specified downstream node, can also To distribute data to the downstream node of all connections.
It should be noted that data distributing method provided by the embodiment of the present invention is generally by data server or middle layer Node executes, correspondingly, data delivery device is generally positioned in data server or middle layer node.
Fig. 2 shows one embodiment of the invention provide data distributing method flow chart, this method 200 may include with Lower step:
S202: the data type of the first data in the first data set is determined according to the first preset strategy.
In the embodiment of the present application, the first data set can be stored in the identification of data center server or present node The set of the data of database, the present node are middle layer node, and node can be middle layer node or edge section downstream Point.Data center server or present node identify data to be identified using the data in the first data set, specifically , data to be identified for example can be image data, voice data or other kinds of data.The embodiment of the present application for example can be with Data to be identified are identified by calculating the similarity of data and data to be identified in the first data set.
Determine that the data type of the first data can be by judging whether the first data meet by the first preset strategy Preset strategy determines that the data types of the first data, preset strategy are such as, but not limited to temperature, artificial setting, storage time. Artificial setting can be the preset strategy temporarily set in data center server or present node, storage time can be this One data are met certain condition in the cumulative time that present node stores.
In one embodiment of the application, step S202 may include following sub-step:
S11: the times of acquisition in the preset period are counted to the corresponding identification information of first data.
In the embodiment of the present application, the data in identification database include label data corresponding with identification information and with mark Sign the sample data of data correlation.Identification information is the classification information of data, such as can be picture type information, voice class Information.For example, in field of image recognition, identification database may include label data corresponding with picture type information and with mark The image sample data of data correlation is signed, in field of speech recognition, identification database may include corresponding with voice class information Label data and with the associated vocal print sample data of label data.Same identification information can correspond to multiple label datas, often A sample data is respectively associated in one label data.For example, same image type can be acquired by different angle to which acquisition is more A image sample data carries out the label data that image labeling obtains each image sample data to each image sample data.
In the embodiment of the present application, data center server or present node are using the sample data in the first data set Data to be identified are identified, and are obtained and the associated identification information of sample data.Specifically, can calculate data to be identified with The similarity (such as can calculate similarity by calculating Euclidean distance or Hamming distance) of sample data, obtains similarity and meets The identification information of the sample data of preset requirement.
In the embodiment of the present application, the first data may include specified label data and with the associated sample number of label data According to data center server or present node count the acquisition time in the preset period to the corresponding identification information of the first data Number, the times of acquisition can reflect the temperature of first data to a certain extent, therefore, can be determined based on the times of acquisition The data type of first data.
S12: judge whether the times of acquisition are more than preset frequency threshold value;If so, determining first data Data type is target type.
In the embodiment of the present application, when times of acquisition be more than preset frequency threshold value, then can determine the first data be target Type, i.e. hot spot data.
S204: when the data type is target type, by first data distribution to downstream node, so that described First data are stored in the second data set by downstream node.
In the embodiment of the present application, the second data set is the set for being stored in the data of identification database of downstream node, For the first data of target type, belong to hot spot data, it is higher come the probability identified to data to be identified using the first data, Therefore the first data can be stored in from the closer node of user terminal, shortens the distance between user and the first data.Data The node that central server can specify in (such as middle layer node or fringe node) to downstream node distributes the first data, can also To distribute the first data to all nodes;Node that middle layer node can be specified into next node layer connected to it distribution the One data can also distribute the first data to all nodes connected to it.Downstream node is receiving upstream node distribution After first data, the first data are stored in the second data set of identification database.
In the scheme of the embodiment of the present invention, by disposing multiple nodes, upstream node or data center's clothes will be stored in The data of identification database in business device are distributed to downstream node according to preset strategy, so can be by the data distribution needed for user The node nearest to user treats user using nearest node and knows data and identify, without by identification database Total data be supplied to user, both shortened the network distance between user and required data in this way, and achieved the effect that acceleration, In turn ensure the safety of data.
As the further improvement to data distributing method of the present invention, Fig. 3 show another embodiment of the present invention provides The flow chart of data distributing method, this method 300 may comprise steps of:
S302: when receiving the request of the identification to data to be identified, using first data set to described to be identified Data are identified.
In the embodiment of the present application, the data center server that can be identified to data to be identified is either disposed Node before user terminal and data center server.It is asked for what user sent to what data to be identified were identified It asks, the request of user is routed by scheduling or is directed on or the lesser node of present load nearest from user first, If present node may recognize that data to be identified, present node can return to the identification information of data to be identified, if currently Node cannot identify data to be identified, then identification request is sent to upstream node or data center server.
In the embodiment of the present application, the first data set includes the first data that may recognize that data to be identified, therefore can benefit Data to be identified are identified with the first data set.
S304: the identification information of the data to be identified is obtained.
In the embodiment of the present application, the identification information of data to be identified can be obtained according to recognition result.
S306: the identification information is returned.
In the embodiment of the present application, identification information can be returned to the downstream node for sending identification request, and pass through downstream joint Point returns to user terminal.
S308: the times of acquisition in the preset period are counted to the identification information.
S310: judge whether the times of acquisition are more than preset frequency threshold value;If so, determining the identification information pair The data type for the first data answered is target type.
S312: when the data type is target type, by first data distribution to downstream node, so that described First data are stored in the second data set by downstream node.
Fig. 4 shows the schematic diagram of the data delivery device of one embodiment according to the application, device shown in Fig. 4 400 can use the mode of software, hardware or software and hardware combining to realize.The embodiment of device 400 is substantially similar to method Embodiment, so describing fairly simple, the relevent part can refer to the partial explaination of embodiments of method.
As shown in figure 4, device 400 can include determining that module 402 and distribution module 404.Determining module 402 is used for basis First preset strategy determines the data type of the first data in the first data set.Distribution module 404 is used to work as the data class When type is target type, by first data distribution to downstream node, so that the downstream node deposits first data It is stored in the second data set.
As the further improvement to data delivery device of the present invention, determining module 402 may include statistic submodule, sentence Disconnected submodule and determining submodule.Statistic submodule is used for first data corresponding identification information statistics when preset Between section times of acquisition.Judging submodule is for judging whether the times of acquisition are more than preset frequency threshold value;If so, calling Determine submodule.Determine that data type of the submodule for determining first data is target type.
As the further improvement to data delivery device of the present invention, device 400 can also include identification module, obtain mould Block and return module.Identification module is used to utilize first data set when receiving the request of the identification to data to be identified The data to be identified are identified.Obtain the identification information that module is used to obtain the data to be identified.Return module is used In the return identification information.
The embodiment of the present application also provides a kind of electronic equipment, refers to Fig. 5, and Fig. 5 is the embodiment of the present application electronic equipment one A embodiment schematic diagram.As shown in figure 5, for ease of description, illustrating only part relevant to the embodiment of the present application, specific skill Art details does not disclose, please refers to the embodiment of the present application method part.
As shown in figure 5, electronic equipment 500 may include processor 502 and memory 504, wherein deposited on memory 504 Contain executable instruction, wherein the executable instruction makes processor 502 execute any implementation of Fig. 2 or Fig. 3 upon being performed Method shown in mode.
As shown in figure 5, electronic equipment 500 can also include connecting different system components (including processor 502 and memory 504) bus 506.Bus 506 indicates one of a few class bus structures or a variety of, including memory bus or memory Controller, peripheral bus, graphics acceleration port, processor or the local using any bus structures in a variety of bus structures Bus.For example, these architectures include but is not limited to industry standard architecture (ISA) bus, microchannel system knot Structure (MAC) bus, enhanced isa bus, Video Electronics Standards Association (VESA) local bus and peripheral component interconnection (PCI) Bus.
Electronic equipment 500 typically comprises a variety of computer system readable media.These media can be it is any can be by The usable medium that electronic equipment 500 accesses, including volatile and non-volatile media, moveable and immovable medium.
Memory 504 may include the computer system readable media of form of volatile memory, such as arbitrary access is deposited Reservoir (RAM) 508 and and/or cache memory 510.Electronic equipment 500 may further include it is other it is removable/can not Mobile, volatile/non-volatile computer system storage medium.Only as an example, storage system 512 can be used for reading and writing not Movably, non-volatile magnetic media (Fig. 5 do not show, commonly referred to as " hard disk drive ").It, can be with although being not shown in Fig. 5 The disc driver for reading and writing to removable non-volatile magnetic disk (such as " floppy disk ") is provided, and non-volatile to moving The CD drive of CD (such as CD-ROM, DVD-ROM or other optical mediums) read-write.In these cases, each driving Device can be connected by one or more data media interfaces with bus 506.Memory 504 may include at least one program Product, the program product have one group of (for example, at least one) program module, these program modules are configured to perform the present invention The function of above-mentioned Fig. 2 or Fig. 3 embodiment.
Program/utility 514 with one group of (at least one) program module 516, can store in such as memory In 504, such program module 516 includes but is not limited to operating system, one or more application program, other program modules And program data, it may include the realization of network environment in each of these examples or certain combination.Program module 516 Usually execute the function and/or method in above-mentioned Fig. 2 or Fig. 3 embodiment described in the invention.
Electronic equipment 500 can also be with one or more external equipments 522 (such as keyboard, sensing equipment, display 524 Deng) communication, can also be enabled a user to one or more equipment interact with the electronic equipment 500 communicate, and/or with make Any equipment (such as network interface card, the modem that the electronic equipment 500 can be communicated with one or more of the other calculating equipment Etc.) communication.This communication can be carried out by input/output (I/O) interface 518.Also, electronic equipment 500 can also lead to Cross network adapter 520 and one or more network (such as local area network (LAN), wide area network (WAN) and/or public network, example Such as internet) communication.As shown in figure 5, network adapter 520 is communicated by bus 506 with other modules of electronic equipment 500. It should be understood that although not shown in the drawings, other hardware and/or software module can not used in conjunction with electronic equipment 500, including but not It is limited to: microcode, device driver, redundant processor, external disk drive array, RAID system, tape drive and number According to backup storage system etc..
The program that processor 502 is stored in memory 504 by operation, thereby executing various function application and data Processing, such as realize method shown in above-described embodiment.
Embodiments herein also provides a kind of computer storage medium, is stored thereon with computer program, the calculating Machine program includes executable instruction, when the executable instruction is executed by processor, implements the data of foregoing individual embodiments Any one embodiment in distribution method.
The computer storage medium of the present embodiment may include in the memory 504 in above-mentioned embodiment illustrated in fig. 5 with Machine accesses memory (RAM) 508, and/or cache memory 510, and/or storage system 512.
With the development of science and technology, the route of transmission of computer program is no longer limited by tangible medium, it can also be directly from net Network downloading, or obtained using other modes.Therefore, the computer storage medium in the present embodiment not only may include tangible Medium can also include invisible medium.
It will be understood by those skilled in the art that the embodiment of the present invention can provide as method, apparatus or computer program production Product.Therefore, in terms of the embodiment of the present invention can be used complete hardware embodiment, complete software embodiment or combine software and hardware Embodiment form.Moreover, it wherein includes computer available programs generation that the embodiment of the present invention, which can be used in one or more, The meter implemented in the computer-usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) of code The form of calculation machine program product.
The embodiment of the present invention be referring to according to the method for the embodiment of the present invention, the process of device and computer program product Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing terminal devices To generate a machine, so that being produced by the instruction that computer or the processor of other programmable data processing terminal devices execute Life is for realizing the function of specifying in one or more flows of the flowchart and/or one or more blocks of the block diagram Device.
The specific embodiment illustrated above in conjunction with attached drawing describes exemplary embodiment, it is not intended that may be implemented Or fall into all embodiments of the protection scope of claims." exemplary " meaning of the term used in entire this specification Taste " be used as example, example or illustration ", be not meant to than other embodiments " preferably " or " there is advantage ".For offer pair The purpose of the understanding of described technology, specific embodiment include detail.However, it is possible in these no details In the case of implement these technologies.In some instances, public in order to avoid the concept to described embodiment causes indigestion The construction and device known is shown in block diagram form.
The foregoing description of present disclosure is provided so that any those of ordinary skill in this field can be realized or make Use present disclosure.To those skilled in the art, the various modifications carried out to present disclosure are apparent , also, can also answer generic principles defined herein in the case where not departing from the protection scope of present disclosure For other modifications.Therefore, present disclosure is not limited to examples described herein, but with meet principle disclosed herein It is consistent with the widest scope of novel features.

Claims (8)

1. data distributing method, comprising:
The data type of the first data in the first data set is determined according to the first preset strategy;
When the data type is target type, by first data distribution to downstream node, so that the downstream node First data are stored in the second data set.
2. according to the method described in claim 1, wherein, the first data in the first data set are determined according to the first preset strategy Data type, comprising:
Times of acquisition in the preset period are counted to the corresponding identification information of first data;
Judge whether the times of acquisition are more than preset frequency threshold value;If so, determining the data type of first data For target type.
3. according to the method described in claim 2, wherein, the first number in the first data set is being determined according to the first preset strategy According to data type before, further includes:
When receiving the request of the identification to data to be identified, the data to be identified are known using first data set Not;
Obtain the identification information of the data to be identified;
Return to the identification information.
4. data delivery device, comprising:
Determining module, for determining the data type of the first data in the first data set according to the first preset strategy;
Distribution module is used for when the data type is target type, by first data distribution to downstream node, so that First data are stored in the second data set by the downstream node.
5. device according to claim 4, wherein the determining module includes:
Statistic submodule, for counting the times of acquisition in the preset period to the corresponding identification information of first data;
Judging submodule, for judging whether the times of acquisition are more than preset frequency threshold value;Submodule is determined if so, calling Block;
Submodule is determined, for determining that the data type of first data is target type.
6. device according to claim 5, wherein described device further include:
Identification module, for when receive the identification to data to be identified request when, using first data set to it is described to Identification data are identified;
Module is obtained, for obtaining the identification information of the data to be identified;
Return module, for returning to the identification information.
7. electronic equipment, comprising:
Processor;And
Memory is stored thereon with executable instruction;
Wherein, the processor is configured to execute the executable instruction to implement side as described in any one of claims 1-3 Method.
8. computer readable storage medium is stored thereon with computer program, the computer program includes executable instruction, when When the executable instruction is executed by processor, implement the method according to claim 1.
CN201910182385.0A 2019-03-12 2019-03-12 Data distributing method, device and equipment Pending CN109947850A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111090760A (en) * 2019-11-25 2020-05-01 贝壳技术有限公司 Data storage method and device, computer readable storage medium and electronic equipment
CN111930744A (en) * 2020-07-31 2020-11-13 中国工商银行股份有限公司 Data downloading method, device and equipment and foreign exchange open data downloading system

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111090760A (en) * 2019-11-25 2020-05-01 贝壳技术有限公司 Data storage method and device, computer readable storage medium and electronic equipment
CN111930744A (en) * 2020-07-31 2020-11-13 中国工商银行股份有限公司 Data downloading method, device and equipment and foreign exchange open data downloading system
CN111930744B (en) * 2020-07-31 2024-03-01 中国工商银行股份有限公司 Data downloading method, device, equipment and foreign exchange open data downloading system

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