CN202696628U - Network optimization system - Google Patents

Network optimization system Download PDF

Info

Publication number
CN202696628U
CN202696628U CN 201220345209 CN201220345209U CN202696628U CN 202696628 U CN202696628 U CN 202696628U CN 201220345209 CN201220345209 CN 201220345209 CN 201220345209 U CN201220345209 U CN 201220345209U CN 202696628 U CN202696628 U CN 202696628U
Authority
CN
China
Prior art keywords
server
network
data
data flow
optimization system
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN 201220345209
Other languages
Chinese (zh)
Inventor
马啸天
王福宇
李玉东
沈文秀
赵南
贾国动
谢毅志
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
BEIJING GUOCHUANG FUSHENG COMMUNICATION Co Ltd
Original Assignee
BEIJING GUOCHUANG FUSHENG COMMUNICATION Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by BEIJING GUOCHUANG FUSHENG COMMUNICATION Co Ltd filed Critical BEIJING GUOCHUANG FUSHENG COMMUNICATION Co Ltd
Priority to CN 201220345209 priority Critical patent/CN202696628U/en
Application granted granted Critical
Publication of CN202696628U publication Critical patent/CN202696628U/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Images

Landscapes

  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The utility model provides a network optimization system which comprises a DPI (Deep Packet Inspection) server, wherein the DPI server is connected with a client to receive a data stream from the client and send the data stream and applied information to an application analysis server, and the application analysis server is connected with the DPI server to receive the data stream and the applied information and send the data stream to a destination address of the data stream through one or a plurality of servers in a network. According to the network optimization system, the problem of blockage generated between true operator physical networks is overcome, good stability of data acceleration is guaranteed, and the efficiency of data transmission is guaranteed.

Description

Network optimization system
Technical field
The utility model relates to the Internet and optimizes the field, in particular to a kind of network optimization system.
Background technology
Based on present network environment, the network optimization comes promoting data transmission efficiency extremely important.The network optimization technology that has now is by disposing some Virtual Private Network nodes at carrier network, carrying out the network data route by the virtual private link, thereby reach the acceleration purpose.
But, prior art is owing to operator is obstructed, and interconnecting between the operator exists certain obstructing problem, be unable to do without real operator physical network even VPN (virtual private network) is also taken off, this speed technology affects the network user's use so that the stability that data are accelerated is good not.
Therefore, this just needs a kind of new technical scheme that is used for the network optimization, need to overcome the obstructing problem that produces between the real operator physical network, and the stability that the assurance data are accelerated is enough good, and guarantees the efficient of transfer of data.
The utility model content
Technical problem to be solved in the utility model is, a kind of new technical scheme that is used for the network optimization is provided, need to overcome the obstructing problem that produces between the real operator physical network, it is stable enough good to guarantee that data are accelerated, and guarantees the efficient of transfer of data.
In view of this, the utility model provides a kind of network optimization system, comprising: deep-packet detection (DPI) server is connected to client, reception is from the data flow of described client, and described data flow and the information of sending the application of described data flow are sent to the applied analysis server; Described applied analysis server, be connected to a plurality of servers in described deep-packet detection server and the network, receive the information of described data flow and described application, and described data flow is sent to the destination address of described data flow by the one or more servers in the network.In this technical scheme, can be by the DPI server at first based on the tagged word recognition technology, at first analyze the agreement of data flow, extract wherein ad-hoc location data by the applied analysis server by the form of agreement again, for example, may preserve Apply Names on the ad-hoc location, by which application to be sent as long as analyze data flow, just can select suitable server node, data flow is routed to destination address, this programme can guarantee the stability of network acceleration well.
In this technical scheme, preferably, described deep-packet detection server is one or more, and one of them is connected to described client.In this technical scheme, can be at network node deploy DPI server, guaranteeing to receive the data flow from different clients, and data stream is analyzed.
In this technical scheme, preferably, described applied analysis server is one or more, and one of them is connected to described deep-packet detection server.In this technical scheme, can also at a plurality of applied analysis servers of network node deploy, to cooperate the work of DPI server, share the pressure of data-flow analysis.
In this technical scheme, preferably, described deep-packet detection server is connected to described client by the mode of the transmission of ether data coaxial cable, EPON and/or Packet Transport Network.In this technical scheme, adopt multiple connected mode to connect from different client, client that can different network environments can be sent to the DPI server with its data flow fast.
In this technical scheme, preferably, described applied analysis server is connected with described deep-packet detection server by the mode of optical transfer network, Packet Transport Network, ASON.In this technical scheme, by multiple connected mode, realize the DPI server in the network, the connection between the applied analysis server, can guarantee the fast transport of network internal data, in time the data flow of client is analyzed guaranteeing further.
In this technical scheme, preferably, also comprise: database (DB) server, be connected to described applied analysis server, record the information of described application, and the information of described one or more servers, to offer described applied analysis server.In this technical scheme, configure database server in network also, with different application and all record for the server node of its distribution, the applied analysis server gets final product with reference to the record in the DB server when for data flow route lines being set.
In this technical scheme, preferably, described deep-packet detection server is connected to described carrier server, and further is connected to described client through described carrier server.In this technical scheme, different clients can be divided by its corresponding operator, as long as the access carrier server, just can quick obtaining use the data flow of the client transmission of operator's service.
By above technical scheme, can realize a kind of network optimization system, overcome the obstructing problem that produces between the real operator physical network, it is stable enough good to guarantee that data are accelerated, and guarantees the efficient of transfer of data.
Description of drawings
Fig. 1 is the block diagram according to the network optimization system of an embodiment of the present utility model;
Fig. 2 is the schematic network structure according to the network optimization system of an embodiment of the present utility model.
Embodiment
In order more clearly to understand above-mentioned purpose of the present utility model, feature and advantage, below in conjunction with the drawings and specific embodiments the utility model is further described in detail.Need to prove that in the situation of not conflicting, the application's embodiment and the feature among the embodiment can make up mutually.
A lot of details have been set forth in the following description so that fully understand the utility model; but; the utility model can also adopt other to be different from other modes described here and implement, and therefore, protection range of the present utility model is not subjected to the restriction of following public specific embodiment.
Fig. 1 is the block diagram according to the network optimization system of an embodiment of the present utility model.
As shown in Figure 1, the utility model provides a kind of network optimization system 100, comprise: deep-packet detection (DPI) server 102, be connected to client, reception is from the data flow of described client, and described data flow and the information of sending the application of described data flow are sent to applied analysis server 104; Described applied analysis server 104, be connected to a plurality of servers in described deep-packet detection server 102 and the network, receive the information of described data flow and described application, and described data flow is sent to the destination address of described data flow by the one or more servers in the network.In this technical scheme, can be by the DPI server at first based on the tagged word recognition technology, at first analyze the agreement of data flow, extract wherein ad-hoc location data by the applied analysis server by the form of agreement again, for example, may preserve Apply Names on the ad-hoc location, by which application to be sent as long as analyze data flow, just can select suitable server node, data flow is routed to destination address, this programme can guarantee the stability of network acceleration well.
In this technical scheme, described deep-packet detection server 102 is one or more, and one of them is connected to described client.In this technical scheme, can be at network node deploy DPI server, guaranteeing to receive the data flow from different clients, and data stream is analyzed.
In this technical scheme, described applied analysis server 104 is one or more, and one of them is connected to described deep-packet detection server.In this technical scheme, can also at a plurality of applied analysis servers of network node deploy, to cooperate the work of DPI server, share the pressure of data-flow analysis.
In this technical scheme, described deep-packet detection server 102 is connected to described client by the mode of the transmission of ether data coaxial cable, EPON and/or Packet Transport Network.In this technical scheme, adopt multiple connected mode to connect from different client, client that can different network environments can be sent to the DPI server with its data flow fast.
In this technical scheme, described applied analysis server 104 is connected with described deep-packet detection server 102 by the mode of optical transfer network, Packet Transport Network, ASON.In this technical scheme, by multiple connected mode, realize the DPI server in the network, the connection between the applied analysis server, can guarantee the fast transport of network internal data, in time the data flow of client is analyzed guaranteeing further.
In this technical scheme, also comprise: database (DB) server 106, be connected to described applied analysis server 104, record the information of described application, and the information of described one or more servers, to offer described applied analysis server 104.In this technical scheme, configure database server in network also, with different application and all record for the server node of its distribution, the applied analysis server gets final product with reference to the record in the DB server when for data flow route lines being set.
In this technical scheme, described deep-packet detection server 102 is connected to described carrier server, and further is connected to described client through described carrier server.In this technical scheme, different clients can be divided by its corresponding operator, as long as the access carrier server, just can quick obtaining use the data flow of the client transmission of operator's service.
Fig. 2 is the schematic network structure according to the network optimization system of an embodiment of the present utility model.
In an embodiment of the present utility model, combine by own physical network and virtual network, dispose at the virtual private node of own network, reach physical network, virtual network, data analysis, direct traffic and combine, thereby so that accelerate more smooth, more stable.
By disposing access node in operator, own network is taked the transmission of EOC(ether data coaxial cable), the PON(EPON), the PTN(group transmission network) etc. combination realizes users' at different levels access, take the OTN(optical transfer network), the PTN(group transmission network), the ASON(ASON) mode of combination is built the platform of the network optimization system in the carrying present embodiment, carrying platform and Intelligent data exchange platform characteristics (data flow to client is analyzed) combination, distributed deployment IDC and CACHE, network data exchange is combined with the terminal routing function, and the operation by terminal software, from cost, efficient, three aspect comprehensive considerations such as quality, carry out new set access, carrying, exchange, storage reaches network acceleration.
The SinoNet network that network optimization system in the present embodiment is realized is by client terminal machine (client software can be installed), DPI server 202, applied analysis server 204 and DB(database) server 206 forms, at the some DPI servers 202 of network backbone node deployment and applied analysis server 204, as shown in Figure 2.Client software is crossed the Internet to user's data communication device and is delivered to DPI server 202,202 couples of users' of DPI server data flow is resolved, distinguish the agreement of different application, the data of these application of distinguishing are sent to applied analysis server 204, applied analysis server 204 is analyzed the data content based on aforesaid agreement, makes a concrete analysis of out the application of transmission data flow, for different application, data are routed on the fastest destination server, specific as follows:
1, client software: user's data are delivered on the DPI server 202 of appointment.
2, the DPI server 202: resolve for data flow, distinguish the application which agreement is different data flow all belong to.
DPI server 202 is processed data stream based on the data identification of tagged word.Different application depends on different agreements usually, and different agreements has its special fingerprint, and these fingerprints may be specific port, specific character string or specific Bit sequence.DPI server 202 is the application of which agreement by the detection to " fingerprint " information in the specific data message in the Business Stream with what determine the Business Stream carrying based on the recognition technology of " tagged word ".According to the difference of concrete detection mode, can be divided into again characteristic matching and three kinds of technology of status flag coupling of fixed position tagged word coupling, changing position based on the recognition technology of " tagged word ".By the upgrading to " fingerprint " information, can carry out very easily Function Extension based on the recognition technology of feature, realize the detection to New Deal.
3, the applied analysis server 204: for the form of DPI server 202 analyses data flow out according to agreement, carry out further content analysis, analysis belongs to concrete the sort of application, and the fastest server of application choice of analyzing is out sent.Simultaneously, data volume size that can data flow-based selects a route or many routes to come transmitting data stream, with the pressure of alleviation network data transmission.
4, the DB server 206: can store routing table, wherein record the server node corresponding to different application.Applied analysis server 204 finds out the server into the distribution of flows of different application, with transmitting data stream according to routing table.
By top three steps, can route the fastest of optimization, thus carry out network acceleration.Terminating machine pc carries out data by terminating machine software and is routed to the SinoNet network, and the SinoNet network is delivered to named place of destination to the data of pc machine by the data analysis of DPI server, applied analysis server.
Can be found out by above, the utility model mainly is at first to data analysis (mainly being protocal analysis, applied analysis, the adress analysis to data), by can understand the trend of data flow to the analysis of using, the decomposition network flow pressure, can effectively shunt data, avoid a certain networking data volume is resulted in blockage greatly, it is exactly to select unobstructed networking that the optimum route of the data selection that analyzes is sent to destination address, thereby reach the purpose of acceleration, can not cause because of the obstruction of data time-delay.What problem solved is that the data traffic of network has been carried out effective shunting and control at all, the process of shunting and control is exactly the course of work of DPI server and applied analysis server, these two processes are deployed in the respective nodes of network by aforesaid modules, control the obstruction of network with the principle of data analysis, optimized network environment.
By above technical scheme, can realize that a kind of network optimization system can be disposed and development has flexible, an extendible network, keep the unimpeded of information flow and satisfy instructions for use most important.The load of carrier network has become the large problem that threatens internet development, the utility model has reduced 50% with its bandwidth in the business expansion, Speed improving 80%, need to the upgrade application program of bandwidth intensive of operator, and upgrading has been finished in this system help, not only accelerate bandwidth, also optimized data flow.
The above is preferred embodiment of the present utility model only, is not limited to the utility model, and for a person skilled in the art, the utility model can have various modifications and variations.All within spirit of the present utility model and principle, any modification of doing, be equal to replacement, improvement etc., all should be included within the protection range of the present utility model.

Claims (7)

1. a network optimization system is characterized in that, comprising:
The deep-packet detection server is connected to client, receives the data flow from described client, and described data flow and the information of sending the application of described data flow are sent to the applied analysis server;
Described applied analysis server, be connected to a plurality of servers in described deep-packet detection server and the network, receive the information of described data flow and described application, and described data flow is sent to the destination address of described data flow by the one or more servers in the described network.
2. network optimization system according to claim 1 is characterized in that, described deep-packet detection server is one or more, and one of them is connected to described client.
3. network optimization system according to claim 1 is characterized in that, described applied analysis server is one or more, and one of them is connected to described deep-packet detection server.
4. network optimization system according to claim 1 is characterized in that, described deep-packet detection server is connected to described client by the mode of the transmission of ether data coaxial cable, EPON and/or Packet Transport Network.
5. network optimization system according to claim 1 is characterized in that, described applied analysis server is connected with described deep-packet detection server by the mode of optical transfer network, Packet Transport Network, ASON.
6. network optimization system according to claim 1 is characterized in that, also comprises:
Database server is connected to described applied analysis server, records the information of described application, and the information of described one or more servers, to offer described applied analysis server.
7. each described network optimization system in 6 according to claim 1 is characterized in that described deep-packet detection server is connected to described carrier server, and further is connected to described client through described carrier server.
CN 201220345209 2012-07-16 2012-07-16 Network optimization system Expired - Fee Related CN202696628U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN 201220345209 CN202696628U (en) 2012-07-16 2012-07-16 Network optimization system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN 201220345209 CN202696628U (en) 2012-07-16 2012-07-16 Network optimization system

Publications (1)

Publication Number Publication Date
CN202696628U true CN202696628U (en) 2013-01-23

Family

ID=47552178

Family Applications (1)

Application Number Title Priority Date Filing Date
CN 201220345209 Expired - Fee Related CN202696628U (en) 2012-07-16 2012-07-16 Network optimization system

Country Status (1)

Country Link
CN (1) CN202696628U (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107360062A (en) * 2017-08-28 2017-11-17 上海国云信息科技有限公司 Verification method, system and the DPI equipment of DPI equipment recognition results
CN109428774A (en) * 2017-08-22 2019-03-05 网宿科技股份有限公司 A kind of data processing method and relevant DPI equipment of DPI equipment

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109428774A (en) * 2017-08-22 2019-03-05 网宿科技股份有限公司 A kind of data processing method and relevant DPI equipment of DPI equipment
CN107360062A (en) * 2017-08-28 2017-11-17 上海国云信息科技有限公司 Verification method, system and the DPI equipment of DPI equipment recognition results
CN107360062B (en) * 2017-08-28 2021-02-02 上海国云信息科技有限公司 DPI equipment identification result verification method and system and DPI equipment

Similar Documents

Publication Publication Date Title
CN111683011B (en) Message processing method, device, equipment and system
CN102783098B (en) Communication system, path control device, grouping converter and controlling of path thereof
CN101394341B (en) Route maintaining method, system and apparatus
US8717901B2 (en) Method, apparatus and system for determining an optimum route for transmission of a captured data packet through a stacked topology of network captured traffic distribution devices
CN104885431B (en) The method and device of traffic engineering based on content in software definition information centre network
CN106921572B (en) A kind of method, apparatus and system for propagating qos policy
EP1043871A3 (en) Routes and paths management
CN102752217B (en) Network acceleration system and network accelerating method
CN102148773A (en) Method and system for converting IPv6 (Internet Protocol Version 6) protocol and IPv4 (Internet Protocol Version 4) protocol
CN105024853A (en) SDN resource matching and service path discovering method based on rumor spreading mechanism
CN100442766C (en) Method for realizing retransmission business of data communication equipment
CN105556916B (en) The information statistical method and device of network flow
CN103312546A (en) Method for automatically configuring and managing ZigBee network
CN101442489A (en) Method for recognizing flux based on characteristic library
CN108259466B (en) DDoS flow reinjection method, SDN controller and network system
CN101626323A (en) Method and device for monitoring network data flow
CN108768882A (en) A kind of processing method and system of protocol massages
CN102752218A (en) Network optimization system and network optimization method
CN202696628U (en) Network optimization system
CN107360089A (en) A kind of method for routing foundation, business datum conversion method and device
CN101197720B (en) Method and device for configuring Ethernet equipment
CN100361473C (en) Interconnection method between frame relay and Ethernet
CN102474422B (en) For detecting the method and apparatus of anycast group configuring condition in communication network
CN114285788A (en) Equipment connection method, device and equipment
CN107154872A (en) The method and system of distributed asynchronous management telecommunication apparatus based on snmp protocol

Legal Events

Date Code Title Description
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20130123

Termination date: 20170716