CN106230888A - There is the LAN data service system of self-learning function - Google Patents

There is the LAN data service system of self-learning function Download PDF

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Publication number
CN106230888A
CN106230888A CN201610559932.9A CN201610559932A CN106230888A CN 106230888 A CN106230888 A CN 106230888A CN 201610559932 A CN201610559932 A CN 201610559932A CN 106230888 A CN106230888 A CN 106230888A
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data
user
network
storage element
unit
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林建辉
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Liuzhou Yijian Science & Technology Co Ltd
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Liuzhou Yijian Science & Technology Co Ltd
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Priority to CN201610559932.9A priority Critical patent/CN106230888A/en
Publication of CN106230888A publication Critical patent/CN106230888A/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
    • H04L12/2801—Broadband local area networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/56—Provisioning of proxy services
    • H04L67/568—Storing data temporarily at an intermediate stage, e.g. caching

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Small-Scale Networks (AREA)

Abstract

The invention discloses a kind of LAN data service system with self-learning function, including: partition security domain unit: buffer zone is divided into network domains, command field and user domain, network flow velocity allocation unit: set up classification and process inquiry list and store；Storage element: be used for storing data；Indexing units: be used for preserving the keyword of storage element storage data, and provide the user search service；Control unit: according to the user instruction received, user is grouped；Download unit, for transmitting the Search Results come and the respective stored address data file piecemeal to storage element request particular range according to indexing units, data statistics unit: set up user data statistics list, the data of user domain and command field are sampled by control unit, draw the download preference of user.Reach to provide the purpose of quick and cheap network service.

Description

There is the LAN data service system of self-learning function
Technical field
The present invention relates to network data field, in particular it relates to a kind of LAN data clothes with self-learning function Business system.
Background technology
At present, along with the development of the Internet, network has become as the pith of people's life, but in some public fields Close, as on waiting hall, workman apartment and train not wifi cover, it is the most to add user, and Internet service provider provides 3G or 4G network service can be slow, and 3G or the 4G network service price comparison that Internet service provider provides is expensive.
Summary of the invention
It is an object of the invention to, for the problems referred to above, propose a kind of LAN data clothes with self-learning function Business system, the advantage providing the user quick and cheap network service with realization.
For achieving the above object, the technical solution used in the present invention is:
A kind of LAN data service system with self-learning function, including:
Partition security domain unit: buffer zone is divided into network domains, command field and user domain, described network domains is used for network Data update in storage element, and described user domain provides the user data download service, and described command field is used for receiving user Request command；
Network flow velocity allocation unit: set up classification and process inquiry list and store, this classification processes inquiry list according to network eventually The ID of end and the instruction of controller are by user grouping, and different packets arranges different flow threshold values；
Storage element: be used for storing data；
Indexing units: be used for preserving the keyword of storage element storage data, and provide the user search service；
Control unit: according to the user instruction received, user is grouped, and packet instruction is issued to the distribution of network flow velocity Unit, and according to data traffic, the network domains in buffer zone and user domain size are dynamically adjusted；
Download unit: specific to storage element request for transmitting the Search Results come and respective stored address according to indexing units The data file piecemeal of scope；
Data statistics unit: the data in user domain are added up, and by the data of the data of statistics with storage element storage Compare, thus set up user data statistics list；
The data of user domain and command field are sampled by control unit, thus set up training sample, then utilize BP nerve net Training sample is trained by network method, thus sets up BP neural network model, and control unit obtains according to BP neural network model Go out the download preference of user, thus go search for the data relevant to the download preference of user on network and relevant data downloaded To network domains, finally preserve to storage element for user's download.
Technical scheme has the advantages that
Technical scheme, by providing a kind of LAN, in advance by the hot spot data on network, such as TV play, little The locally downloading storage such as say, then provide the user LAN services, because of time locally downloading, it is only necessary to use primary network The service of operator, thus cheap, and build LAN, the transmission speed of network can be improved, thus reach to provide fast The purpose of fast and cheap network service.
Detailed description of the invention
A kind of LAN data service system with self-learning function, including: partition security domain unit: by buffer area Territory is divided into network domains, command field and user domain, and described network domains is used for updating in storage element by network data, described use Territory, family provides the user data download service, and described command field is used for receiving the request command of user；
Network flow velocity allocation unit: set up classification and process inquiry list and store, this classification processes inquiry list according to network eventually The ID of end and the instruction of controller are by user grouping, and different packets arranges different flow threshold values；
Storage element: be used for storing data；
Indexing units: be used for preserving the keyword of storage element storage data, and provide the user search service；
Control unit: according to the user instruction received, user is grouped, and packet instruction is issued to the distribution of network flow velocity Unit, and according to data traffic, the network domains in buffer zone and user domain size are dynamically adjusted；
Download unit: specific to storage element request for transmitting the Search Results come and respective stored address according to indexing units The data file piecemeal of scope；
Data statistics unit: the data in user domain are added up, and by the data of the data of statistics with storage element storage Compare, thus set up user data statistics list；
The data of user domain and command field are sampled by control unit, thus set up training sample, then utilize BP nerve net Training sample is trained by network method, thus sets up BP neural network model, and control unit obtains according to BP neural network model Go out the download preference of user, thus go search for the data relevant to the download preference of user on network and relevant data downloaded To network domains, finally preserve to storage element for user's download.
Buffer zone is divided into network domains, command field and user domain by partition security domain unit, guarantee data security Meanwhile, further speed up the transmission speed of data, data upload and download is required for through buffer zone, network domains be used for connect Receiving the data downloaded from network, the data that network domains is downloaded need the filtration through antivirus software and fire wall, to ensure number According to safety, the safest data are just transferred to storage element from network domains, and command field is used for receiving the order of user, order The data that territory receives also will be through antivirus software and the filtration of fire wall, and user domain provides only download service, does not receive any Data, therefore need not move through the filtration of antivirus software and fire wall, thus improve the transfer rate of data.
Finally it is noted that the foregoing is only the preferred embodiments of the present invention, it is not limited to the present invention, Although being described in detail the present invention with reference to previous embodiment, for a person skilled in the art, it still may be used So that the technical scheme described in foregoing embodiments to be modified, or wherein portion of techniques feature is carried out equivalent. All within the spirit and principles in the present invention, any modification, equivalent substitution and improvement etc. made, should be included in the present invention's Within protection domain.

Claims (1)

1. a LAN data service system with self-learning function, it is characterised in that including:
Partition security domain unit: buffer zone is divided into network domains, command field and user domain, described network domains is used for network Data update in storage element, and described user domain provides the user data download service, and described command field is used for receiving user Request command；
Network flow velocity allocation unit: set up classification and process inquiry list and store, this classification processes inquiry list according to network eventually The ID of end and the instruction of controller are by user grouping, and different packets arranges different flow threshold values；
Storage element: be used for storing data；
Indexing units: be used for preserving the keyword of storage element storage data, and provide the user search service；
Control unit: according to the user instruction received, user is grouped, and packet instruction is issued to the distribution of network flow velocity Unit, and according to data traffic, the network domains in buffer zone and user domain size are dynamically adjusted；
Download unit: specific to storage element request for transmitting the Search Results come and respective stored address according to indexing units The data file piecemeal of scope；
Data statistics unit: the data in user domain are added up, and by the data of the data of statistics with storage element storage Compare, thus set up user data statistics list；
The data of user domain and command field are sampled by control unit, thus set up training sample, then utilize BP nerve net Training sample is trained by network method, thus sets up BP neural network model, and control unit obtains according to BP neural network model Go out the download preference of user, thus go search for the data relevant to the download preference of user on network and relevant data downloaded To network domains, finally preserve to storage element for user's download.
CN201610559932.9A 2016-07-16 2016-07-16 There is the LAN data service system of self-learning function Pending CN106230888A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610559932.9A CN106230888A (en) 2016-07-16 2016-07-16 There is the LAN data service system of self-learning function

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Application Number Priority Date Filing Date Title
CN201610559932.9A CN106230888A (en) 2016-07-16 2016-07-16 There is the LAN data service system of self-learning function

Publications (1)

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CN106230888A true CN106230888A (en) 2016-12-14

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107277159A (en) * 2017-07-10 2017-10-20 东南大学 A kind of super-intensive network small station caching method based on machine learning

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103260080A (en) * 2013-04-16 2013-08-21 欧科佳（上海）汽车电子设备有限公司 Method for achieving vehicle-mounted entertainment video information on demand by using intelligent mobile communication terminal
US20140196078A1 (en) * 2013-01-05 2014-07-10 Benedict Ow Secured media distribution system and method
CN104539617A (en) * 2014-12-26 2015-04-22 深圳市金立通信设备有限公司 Network connection control method
CN105427138A (en) * 2015-12-30 2016-03-23 芜湖乐锐思信息咨询有限公司 Neural network model-based product market share analysis method and system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140196078A1 (en) * 2013-01-05 2014-07-10 Benedict Ow Secured media distribution system and method
CN103260080A (en) * 2013-04-16 2013-08-21 欧科佳（上海）汽车电子设备有限公司 Method for achieving vehicle-mounted entertainment video information on demand by using intelligent mobile communication terminal
CN104539617A (en) * 2014-12-26 2015-04-22 深圳市金立通信设备有限公司 Network connection control method
CN105427138A (en) * 2015-12-30 2016-03-23 芜湖乐锐思信息咨询有限公司 Neural network model-based product market share analysis method and system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107277159A (en) * 2017-07-10 2017-10-20 东南大学 A kind of super-intensive network small station caching method based on machine learning
CN107277159B (en) * 2017-07-10 2020-05-08 东南大学 Ultra-dense network small station caching method based on machine learning

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Application publication date: 20161214