CN108632298A - A kind of method and apparatus realized network intelligence multiple spot and share big data - Google Patents
A kind of method and apparatus realized network intelligence multiple spot and share big data Download PDFInfo
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- CN108632298A CN108632298A CN201710146235.5A CN201710146235A CN108632298A CN 108632298 A CN108632298 A CN 108632298A CN 201710146235 A CN201710146235 A CN 201710146235A CN 108632298 A CN108632298 A CN 108632298A
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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
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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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]
-
- 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
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/104—Peer-to-peer [P2P] networks
- H04L67/1074—Peer-to-peer [P2P] networks for supporting data block transmission mechanisms
- H04L67/1078—Resource delivery mechanisms
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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
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/104—Peer-to-peer [P2P] networks
- H04L67/1074—Peer-to-peer [P2P] networks for supporting data block transmission mechanisms
- H04L67/1078—Resource delivery mechanisms
- H04L67/108—Resource delivery mechanisms characterised by resources being split in blocks or fragments
-
- 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
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols 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]
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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
- H04L67/54—Presence management, e.g. monitoring or registration for receipt of user log-on information, or the connection status of the users
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- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Information Transfer Between Computers (AREA)
Abstract
The present invention provides a kind of method and apparatus realized network intelligence multiple spot and share big data, this method includes that client transmission big data uses request, server respond request, working group where active client is determined, invention device includes server software module and client software module, and server software module includes that client is logined, publishes module, conversation module, policy development module, server things functional module.Client software includes：Conversation module, client things functional module.The present invention possesses situation, current server busy state and other working groups to information such as this data modes by the working group where active client to this data, formulates efficient, wisdom tactic a big data secret sharing.
Description
Technical field
The present invention relates to field of communication technology more particularly to a kind of methods realized network intelligence multiple spot and share big data
And device.
Background technology
The value of big data is not only big data technology itself, the economic society value that even more application innovation generates.Just take
For electric business platform, that numerous small enterprises can be helped to realize the market share and production efficiency value；And intelligent transportation, long-range doctor
It treats, more facilities are brought to people's lives.
Data sharing is exactly to allow that his personal data can be read using the user of different computers, different software in different places
And carry out various operations and analysis.The computer application system of hospital internal be typically according to the case where each department and
What demand was independently built, there are larger differences for used software technology, data format etc., lack unified planning and standard,
Information sharing and interaction between each system is more difficult.Due to field decision information service platform, decision portal and outer net door
Family etc. needs basic database data and decision data according to certain departments to realize optimal decision-making, and therefore, it is necessary to pass through
Data exchange carries out unified planning with shared platform to each department's computer application system, the information resources integrated using bottom,
The basic services interface such as data exchange, resource management is provided for portal, application and Information Resources Integration, to realize each department's decision
Data application interconnect and information sharing.Currently, the data interaction of each department is mainly by the straight of data
Receiving is asked and is stored, or calls the business breakthrough point of other departments to realize, such pattern brings processing to each department
The problems such as efficiencies are low, process is complicated, safety is poor.It is in particular in the following aspects：1) Data share-and-exchange
Operate more complicated, data information operation is not convenient enough, flexibly.2) data-storage system of different departments is different, can not
Realize that unified access service interface, data can't realize real-time collaborative.
The transmission of traditional shared data schema height reliance server, but the case where occurring in practical application is server
Good performance can not possibly be reached by being limited by factors such as prices.The shared upper appearance of up to a hundred client big datas is responded at the same time
Prodigious bottleneck problem.
Invention content
In view of this, invention, which aims at, proposes that a kind of new method solves the problems, such as this, more particularly to one
Kind realizes that network intelligence multiple spot shares the method and apparatus of big data.
The present invention is based on following facts bases：
1, big data can be divided.Integrality, such as video files are not influenced after segmentation big data, can be divided into one by one by frame
Independent transmission unit；Medical image can be divided into file etc. one by one according to DICOM format.
2, client user continuously transmits requirement to shared big data.It is difficult to receive prolonged interim card.
3, client workstation is all online for a long time.It is not frequent offline and reaches the standard grade.
The network system of many units can meet this precondition, such as a general hospital, normally go to work
The case where time frequently shuts down is rarely found.
For achieving the above object, on the one hand, it is shared that an embodiment of the present invention provides a kind of realization network intelligence multiple spots
The method of big data, the method includes：
Client sends big data using request, and server respond request determines working group where active client, institute
State working group that decision condition is divided into where active client to the data possess situation, current server busy state and
The big data of other working groups, network state information：If other client workstations in same working group have the data,
And respective network state is idle, then the download part undertaken certainly according to the distribution of the work station for the condition that meets；Otherwise, it checks non-
With the work station of working group, if there are requested data and respective network state free time, then altogether together with server
With distribution downloading task；Otherwise, it is transferred to traditional server downloading mode.
A kind of device realized network intelligence multiple spot and share big data, including server software module and client software mould
Block,
Server software module includes that client is logined, publishes module, conversation module, policy development module, server things duty
It can module.
Client software includes：Conversation module, client things functional module.
Further, described to login, publish module：The case where being responsible for recording currently running client, to judge later
Client whether placed into service, it periodically inquires whether client also online by conversation module.
Further, the conversation module：It is responsible for linking up with client, it is in fact a thread collection, each client
End can all have a conversation thread to be opened after logining.This thread is usually responsible for periodically asking whether to corresponding work station
Line is defaulted as not online if all no response of multiple inquiry, and thread ends automatically.When policy development module assignment work station
When having downloading task, corresponds to thread also by conversation module and notify work station.
Further, the policy development module：It is responsible for request and formulates current optimal strategy using big data client.
After receiving the request of certain client, first from login, publish module obtain online client information, then by conversation module to
The consulting of client session module specifies big data in the preservation state of client.Following judgement is done after receiving response：
1>If having this data in other work stations of same working group, and respective network state is not very busy, then passes through
Conversation module notice work station distribution undertakes certain download part.
2>Otherwise, the work station of non-same working group is checked, if there are requested data and respective network states not
It is very busy, then cooperatively distributing downloading task together with server.
3>Otherwise, given server downloads the data to the client of request.
Further, the things functional module.After policy development has been got well, a part allows client executing, and takes
Business device may also share partial task, there is the completion of things functional module in this part.
Further, the conversation module：Responsible and server communication.When client computer starts, automatic Connection Service device
Login operation；Usually response answer is sent after receiving the inquiry of server " whether reaching the standard grade "；When user needs to use big data
When, server is sent a request to, notice things functional module makes corresponding operation after receiving server response.
Further, the things functional module.The order startup for receiving conversation module receives connecing for big data accordingly
By or inquiry state operated.
The beneficial effects of the present invention are：When client, which is sent, to be required using some big data, server according to
Working group where active client possesses situation, current server busy state and other working groups to this to this data
The information such as data mode formulate efficient, wisdom tactic a secret sharing.
Description of the drawings
Order transitive relation schematic diagrames of the Fig. 1 between server software module.
Relation schematic diagrams of the Fig. 2 between client software module.
Specific implementation mode
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, some embodiments of the present invention, for
For those of ordinary skill in the art, without having to pay creative labor, other embodiments can also be obtained.
The present embodiment provides it is a kind of realize network intelligence multiple spot share big data device, including server software module with
Client software module.
Server software module includes that client is logined, publishes module, conversation module, policy development module, server thing
Object functional module.
Client software includes：Conversation module, client things functional module.
The conversation module of client：Responsible and server communication.When client computer starts, automatic Connection Service device is stepped on
Enter operation；Usually response answer is sent after receiving the inquiry of server " whether reaching the standard grade "；When user needs using big data, hair
Send request to server, notice things functional module makes corresponding operation after receiving server response.
Server is logined, publishes module：The case where being responsible for recording currently running client, to judge client later
Whether placed into service, it periodically inquires whether client also online by conversation module.
The conversation module of server：It is responsible for linking up with client, it is in fact a thread collection, and each client is logined
Can all there be a conversation thread to be opened afterwards.This thread is usually responsible periodically to be asked whether online to corresponding work station, if
Repeatedly inquiry is all then defaulted as not online without responding, and thread ends automatically.When policy development module assignment work station has download
When task, corresponds to thread also by conversation module and notify work station.
The policy development module of server：It is responsible for request and formulates current optimal strategy using big data client.Work as receipts
To after the request of certain client, online client information first is obtained from logining, publish module, then by conversation module to client
Conversation module consulting is held to specify big data in the preservation state of client.Following judgement is done after receiving response：
1>If having this data in other work stations of same working group, and respective network state is not very busy, then passes through
Conversation module notice work station distribution undertakes certain download part.
2>Otherwise, the work station of non-same working group is checked, if there are requested data and respective network states not
It is very busy, then cooperatively distributing downloading task together with server.
3>Otherwise, given server downloads the data to the client of request.
The things functional module of server.After policy development has been got well, a part allows client executing, and server
Partial task may be shared, there is the completion of things functional module in this part.
The things functional module of client.Receive conversation module order start accordingly receive big data receiving or
The operation of inquiry state.
The brief introduction of attached drawing of the present invention：
C1：Client session module and the conversation module of server are directly linked up, and are received server and are inquired and make answer, if
It is also by this module Tell server to have demand.
S4：Transmission obtains client online information.
S1：It receives and is sent to policy module after the request of client and generates strategy；And policy module handle and client after formulating
It holds relevant operation to be sent to conversation module and replys client.
S2：Some things functional module for giving server is done after good strategy is formulated in policy module.
S3：Client and the software function module for being not belonging to server, the communication between conversation module and client are one
A very frequent event, even if because of the presence for the update client that server needs, for other module references.
S5：Periodically update the presence information of client.
C2：The things functional module of client is similar to the respective modules of server.It is on the one hand as the things of server
The same have notice from conversation module of functional module executes such as big data upload, on the other hand also realizes and receives data and sort out whole
The function of reason.
Claims (8)
1. a kind of method realized network intelligence multiple spot and share big data, it is characterised in that：The method includes client transmissions
Big data determines working group where active client using request, server respond request, and the decision condition is divided into
Working group where active client to the data to possessing situation, current server busy state and the institute of other working groups
State big data, network state information：If having the data in other client workstations of same working group, and respective network-like
State is idle, then the download part undertaken certainly according to the distribution of the work station for the condition that meets；Otherwise, the work of non-same working group is checked
It stands, if there are requested data and respective network state free time, then cooperatively distribute downloading task together with server；
Otherwise, it is transferred to traditional server downloading mode.
2. a kind of device realized network intelligence multiple spot and share big data, including server software module and client software mould
Block, server software module include that client is logined, publishes module, conversation module, policy development module, server things function
Module, client software include：Conversation module, client things functional module.
3. realizing that network intelligence multiple spot shares the device of big data as claimed in claim 2, it is characterised in that：It is described login,
The case where publishing module, being responsible for recording currently running client, for later judge client whether placed into service, it periodically lead to
Whether also online cross conversation module inquiry client.
4. realizing that network intelligence multiple spot shares the device of big data as claimed in claim 2, it is characterised in that：The session mould
Block is responsible for linking up with client, it is in fact a thread collection, and each client can have a conversation thread to be held after logining
It opens, this thread is usually responsible for periodically asking whether online, to write from memory if all no response of multiple inquiry to corresponding work station
Think not online, thread ends automatically, when policy development module assignment work station has downloading task, also by conversation module pair
Thread is answered to notify work station.
5. realizing that network intelligence multiple spot shares the device of big data as claimed in claim 2, it is characterised in that：The strategy system
Cover half block is responsible for request and formulates current optimal strategy using big data client, after receiving the request of certain client, first from
It logins, publish module acquisition online client information, then counted greatly by conversation module to the consulting of client session module is specified
According to the preservation state in client, following judgement is done after receiving response：
1>If having this data in other work stations of same working group, and respective network state is not very busy, then passes through
Conversation module notice work station distribution undertakes certain download part；
2>Otherwise, the work station of non-same working group is checked, if there are requested data and respective network state be not very
It is busy, then cooperatively distributing downloading task together with server；
3>Otherwise, given server downloads the data to the client of request.
6. realizing that network intelligence multiple spot shares the device of big data as claimed in claim 2, it is characterised in that：The things duty
Can module, after policy development has been got well, a part allows client executing, and server may also share partial task, this
There is the completion of things functional module in part.
7. realizing that network intelligence multiple spot shares the device of big data as claimed in claim 2, it is characterised in that：The session mould
Block, responsible and server communication, when client computer starts, automatic Connection Service device logins operation；Usually receiving server " is
It is no to reach the standard grade " inquiry after send response answer；When user needs using big data, server is sent a request to, service is received
Notice things functional module makes corresponding operation after device response.
8. realizing that network intelligence multiple spot shares the device of big data as claimed in claim 2, it is characterised in that：The things duty
Energy module, the order for receiving conversation module start the receiving for receiving big data accordingly or inquire the operation of state.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710146235.5A CN108632298A (en) | 2017-03-15 | 2017-03-15 | A kind of method and apparatus realized network intelligence multiple spot and share big data |
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| CN201710146235.5A CN108632298A (en) | 2017-03-15 | 2017-03-15 | A kind of method and apparatus realized network intelligence multiple spot and share big data |
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| US20150012639A1 (en) * | 2013-07-03 | 2015-01-08 | Appsense Limited | Systems, Methods and Media for Collaborative Caching of Files in Cloud Storage |
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-
2017
- 2017-03-15 CN CN201710146235.5A patent/CN108632298A/en active Pending
Patent Citations (7)
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| CN101616177A (en) * | 2009-07-21 | 2009-12-30 | 武汉大学 | Data transmission sharing method based on the network topography system of P2P |
| CN102576335A (en) * | 2010-01-29 | 2012-07-11 | 株式会社丝玛伊布克商务 | Content sharing system and content sharing method |
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