CN106161094A - The network data services platform with self-learning function based on LAN - Google Patents

The network data services platform with self-learning function based on LAN Download PDF

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Publication number
CN106161094A
CN106161094A CN201610558583.9A CN201610558583A CN106161094A CN 106161094 A CN106161094 A CN 106161094A CN 201610558583 A CN201610558583 A CN 201610558583A CN 106161094 A CN106161094 A CN 106161094A
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China
Prior art keywords
data
user
network
transfer path
unit
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Application number
CN201610558583.9A
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Chinese (zh)
Inventor
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 CN201610558583.9A priority Critical patent/CN106161094A/en
Publication of CN106161094A publication Critical patent/CN106161094A/en
Pending legal-status Critical Current

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Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/06Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0893Assignment of logical groups to network elements
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14Network analysis or design
    • H04L41/142Network analysis or design using statistical or mathematical methods
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14Network analysis or design
    • H04L41/145Network analysis or design involving simulating, designing, planning or modelling of a network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L45/00Routing or path finding of packets in data switching networks
    • H04L45/14Routing performance; Theoretical aspects
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L45/00Routing or path finding of packets in data switching networks
    • H04L45/54Organization of routing tables
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1001Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1097Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/51Discovery or management thereof, e.g. service location protocol [SLP] or web services

Abstract

The invention discloses a kind of network data services platform with self-learning function based on LAN, 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;Data transfer path administrative unit: management data transfer path.Data statistics unit, sets up user data statistics list, data redundancy administrative unit: to the data redundancy management preserved in storage element, 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

The network data services platform with self-learning function based on LAN
Technical field
The present invention relates to network data field, in particular it relates to a kind of net with self-learning function based on LAN Network data service platform.
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 net with self-learning function based on LAN Network data service platform, 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 network data services platform with self-learning function based on LAN, 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;
Data transfer path administrative unit: after receiving user's request instruction, chooses one from data transfer path managing listings The data transfer path that data transmission state is optimum, and by the data transfer path of this optimum from data transfer path management row The deletion of table, until after using the user of the data transfer path of this optimum to disconnect, then the data transfer path of this optimum is put Enter to data transfer path managing listings;
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;
Data redundancy administrative unit: to the data redundancy management preserved in storage element, and redundant data is deleted;
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 network data services platform with self-learning function based on LAN, including: partition security domain unit: Buffer zone is divided into network domains, command field and user domain, and described network domains is used for network data is updated storage element In, described user domain 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;
Data transfer path administrative unit: after receiving user's request instruction, chooses one from data transfer path managing listings The data transfer path that data transmission state is optimum, and by the data transfer path of this optimum from data transfer path management row The deletion of table, until after using the user of the data transfer path of this optimum to disconnect, then the data transfer path of this optimum is put Enter to data transfer path managing listings;
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;
Data redundancy administrative unit: to the data redundancy management preserved in storage element, and redundant data is deleted;
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 network data services platform with self-learning function based on LAN, 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;
Data transfer path administrative unit: after receiving user's request instruction, chooses one from data transfer path managing listings The data transfer path that data transmission state is optimum, and by the data transfer path of this optimum from data transfer path management row The deletion of table, until after using the user of the data transfer path of this optimum to disconnect, then the data transfer path of this optimum is put Enter to data transfer path managing listings;
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;
Data redundancy administrative unit: to the data redundancy management preserved in storage element, and redundant data is deleted;
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.
CN201610558583.9A 2016-07-16 2016-07-16 The network data services platform with self-learning function based on LAN Pending CN106161094A (en)

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CN201610558583.9A CN106161094A (en) 2016-07-16 2016-07-16 The network data services platform with self-learning function based on LAN

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Application Number Priority Date Filing Date Title
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103236898A (en) * 2013-05-02 2013-08-07 重庆邮电大学 Environmentally-friendly energy-saving network exclusive protection 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

Patent 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
CN103236898A (en) * 2013-05-02 2013-08-07 重庆邮电大学 Environmentally-friendly energy-saving network exclusive protection 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

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Application publication date: 20161123