CN106067900A - The network service system with self-learning function based on LAN - Google Patents
The network service system with self-learning function based on LAN Download PDFInfo
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- CN106067900A CN106067900A CN201610558614.0A CN201610558614A CN106067900A CN 106067900 A CN106067900 A CN 106067900A CN 201610558614 A CN201610558614 A CN 201610558614A CN 106067900 A CN106067900 A CN 106067900A
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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]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
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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
- H04L67/50—Network services
- H04L67/51—Discovery or management thereof, e.g. service location protocol [SLP] or web services
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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
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/10—Flow control between communication endpoints
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
- H04W28/18—Negotiating wireless communication parameters
- H04W28/22—Negotiating communication rate
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
- H04W84/10—Small scale networks; Flat hierarchical networks
- H04W84/12—WLAN [Wireless Local Area Networks]
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- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
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- General Engineering & Computer Science (AREA)
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Abstract
The invention discloses a kind of network service system 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, and packet instruction is issued to network flow velocity allocation unit, and according to data traffic, the network domains in buffer zone and user domain size are dynamically adjusted;Data transfer path administrative unit: management data transfer path, 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
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 service 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 net with self-learning function based on LAN
Network service 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 network service system 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;
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 service system with self-learning function based on LAN, including: partition security domain unit: will be slow
Depositing region and be divided into network domains, command field and user domain, described network domains is used for updating in storage element by network data, institute
Stating user domain and provide the user data download service, 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;
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 service system 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;
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.
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Cited By (1)
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CN108519762A (en) * | 2018-03-20 | 2018-09-11 | 浙江工业大学 | Smart home flexible load control framework system based on cloud platform |
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