CN104506355B - Wide area network transmission optimization method and Optimization Platform - Google Patents
Wide area network transmission optimization method and Optimization Platform Download PDFInfo
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Abstract
The embodiment of the invention discloses a kind of wide area network transmission optimization method and Optimization Platforms, capture each data packet, analyze the transport layer data group carried in each data packet and application layer data group, statistical analysis is carried out to acquired several transport layer data groups and several application layer data groups, statistic analysis result is obtained, including：Number of users, packet loss, delay, access content type and network type of the different location in different time sections；The first transmission optimization algorithm is determined according to statistic analysis result；The network in first place is optimized in first time period according to the first transmission optimization algorithm.In the embodiment of the present invention, optimization is transmitted using different optimization algorithms to different application environments so that more tally with the actual situation to the optimization of transmission network, so as to reduce the probability that packet loss of link occurs in transmission network, latency issue occurs, improve network quality.
Description
Technical field
It is flat more specifically to a kind of wide area network transmission optimization method and optimization the present invention relates to transmission technique field
Platform.
Background technology
With the rapid development of network technology, network transmission environment also becomes complicated, such as satellite, 3G, fiber mix, across ground
Area's transmission etc. all carrys out certain challenge to Netowrk tape, is susceptible to packet loss of link, is delayed the problems such as big, reduces network quality.
Therefore, the probability that packet loss of link occurs in transmission network, latency issue occurs how is reduced, to improve network quality into
For urgent problem to be solved.
The content of the invention
The object of the present invention is to provide a kind of wide area network transmission optimization method and Optimization Platform, to reduce transmission network appearance
The probability that packet loss of link, latency issue occur, improves network quality.
To achieve the above object, the present invention provides following technical solutions：
A kind of wide area network transmission optimization method, including：
Each data packet transmitted in crawl network；
The each data packet grabbed is analyzed, obtains transport layer data group and application layer data group, wherein, it is described
Transport layer data group includes：The byte number of entrained data, number of dropped packets in source address, destination address, data packet；The application
Layer data group includes：Access time, place, the type for accessing content type, using network；
Statistical analysis is carried out to acquired several transport layer data groups and several application layer data groups, obtains statistical analysis
As a result, the statistic analysis result includes：Number of users of the different location in different time sections, packet loss, access content at delay
Type and network type；
According to the number of users of the network in first time period in the first place, packet loss, delay, access content type and
Network type determines the first transmission optimization algorithm；
The network in first place is optimized in first time period according to the first transmission optimization algorithm.
The above method, it is preferred that number of users of the network in first place of foundation in first time period, packet loss,
Delay, access content type and network type determine that the first transmission optimization algorithm includes：When number of users is more than predetermined threshold value,
First kind optimization is determined according to the access content type in first place, packet loss, delay in first time period
Set of algorithms；
The second class optimization algorithm collection is determined according to network type used in first place in first time period；
It seeks common ground to the first kind optimization algorithm collection and the second class optimization algorithm collection；
The first transmission optimization algorithm is determined according to obtained intersection.
The above method, it is preferred that the intersection that the foundation obtains determines that the first transmission optimization algorithm includes：
If it is excellent that a transmission is only included in the intersection of the first kind optimization algorithm collection and the second class optimization algorithm collection
Change algorithm, it is determined that an optimization algorithm is the first transmission optimization algorithm；
If the intersection of the first kind optimization algorithm collection and the second class optimization algorithm collection includes at least two transmission
Optimization algorithm, from obtaining in intersection, a definite transmission optimization algorithm is the first transmission optimization algorithm at random.
A kind of wide area network transmission Optimization Platform, including：
Handling module, for capturing each data packet transmitted in network；
Analysis module for analyzing each data packet grabbed, obtains transport layer data group and using the number of plies
According to group, wherein, the transport layer data group includes：The byte number of data entrained by source address, destination address, data packet,
Number of dropped packets；The application layer data group includes：Access time, place, the type for accessing content type, using network；
Statistical module, for carrying out statistical to acquired several transport layer data groups and several application layer data groups
Analysis, obtains statistic analysis result, and the statistic analysis result includes：Number of users, packet loss of the different location in different time sections
Rate, delay access content type and network type；
Algorithm determining module, for according to the number of users of the network in first time period in the first place, packet loss, prolong
When, access content type and network type and determine the first transmission optimization algorithm；
Optimization module, for according to the first transmission optimization algorithm in first time period to the net in first place
Network optimizes.
Above-mentioned wide area network transmission Optimization Platform, it is preferred that the algorithm determining module includes：
First determination unit, for when number of users is more than predetermined threshold value, according to first place in first time period
Access content type, packet loss, delay determine first kind optimization algorithm collection；
Second determination unit, for when number of users is more than predetermined threshold value, according to first place in first time period
Used network type determines the second class optimization algorithm collection；
Computing unit, for seeking common ground to the first kind optimization algorithm collection and the second class optimization algorithm collection；
3rd determination unit, for determining the first transmission optimization algorithm according to obtained intersection.
Above-mentioned wide area network transmission Optimization Platform, it is preferred that the 3rd determination unit includes：
First determination subelement, if the intersection for the first kind optimization algorithm collection and the second class optimization algorithm collection
In only include a transmission optimization algorithm, it is determined that an optimization algorithm be the first transmission optimization algorithm；
Second determination subelement, if the intersection for the first kind optimization algorithm collection and the second class optimization algorithm collection
Include at least two transmission optimization algorithms, a definite transmission optimization algorithm is the described first transmission at random from obtaining in intersection
Optimization algorithm.
By above scheme, a kind of wide area network transmission optimization method and Optimization Platform that the application provides, crawl is often
One data packet analyzes the transport layer data group carried in each data packet and application layer data group, if to acquired
Dry transport layer data group and several application layer data groups carry out statistical analysis, obtain statistic analysis result, the statistical analysis knot
Fruit includes：Number of users, packet loss, delay, access content type and network type of the different location in different time sections；Foundation
Number of users, packet loss, delay, access content type and network type of the network in the first place in first time period determine
First transmission optimization algorithm；According to the first transmission optimization algorithm in first time period to the network in first place into
Row optimization.That is, in the embodiment of the present invention, different application environments is transmitted using different optimization algorithms excellent
Change so that more tally with the actual situation to the optimization of transmission network, so as to reduce, packet loss of link occurs in transmission network, latency issue goes out
Existing probability, improves network quality.
Description of the drawings
It in order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention, for those of ordinary skill in the art, without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of realization flow chart of application management method provided by the embodiments of the present application；
Fig. 2 is a kind of structure diagram of wide area network transmission Optimization Platform provided by the embodiments of the present application；
Fig. 3 is the specific schematic diagram of the concrete application example of wide area network transmission Optimization Platform provided by the embodiments of the present application.
Term " first ", " second ", " the 3rd " " the 4th " in specification and claims and above-mentioned attached drawing etc. (if
In the presence of) it is part for distinguishing similar, without being used to describe specific order or precedence.It should be appreciated that it so uses
Data can exchange in the appropriate case, so that embodiments herein described herein can be with except illustrating herein
Order in addition is implemented.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other without creative efforts
Embodiment belongs to the scope of protection of the invention.
Referring to Fig. 1, Fig. 1 is a kind of realization flow chart of wide area network transmission optimization method provided by the embodiments of the present application,
It can include：
Step S11：Each data packet transmitted in crawl network；
Can each data packet that transmitted in network be captured by proxy server.
Step S12：The each data packet grabbed is analyzed, obtains transport layer data group and application layer data group,
Wherein, the transport layer data group includes：Byte number, the packet loss of entrained data in source address, destination address, data packet
Number；The application layer data group includes：Access time, place, the type for accessing content type, using network；
Chat video, meeting, game, viewing video, browsing webpage, file download etc. can be divided by accessing content type,
Wherein, these requirement of real-time for accessing content type can be from high to low：Chat video, meeting, the real-time of game are wanted
The requirement of real-time higher than viewing video is sought, watches requirement of real-time of the requirement of real-time higher than browsing webpage of video, browsing
The requirement of real-time of webpage is higher than the requirement of real-time of file download.
In the wide area network, transport layer data is not only packaged in a data packet, but also is packaged with application layer data.It is of the invention real
It applies in example, it can be by obtaining application layer data and the transport layer data of a part to resolve packet.By to data packet into
The transport layer data that row parsing obtains can include：The byte number of entrained data in source address, destination address, data packet
Deng；It can be included by the application layer data that parsing acquisition is carried out to data packet：Access time, place access content type, institute
Type using network etc..It can also be by being analyzed in itself data packet to obtain part transmission data, for example, by right
Data packet, which is analyzed to obtain in itself transmission data, to be included：Number of dropped packets etc..
Wherein, source address can be source IP address, corresponding destination address can for the purpose of IP address.
Step S13：Statistical analysis is carried out to acquired several transport layer data groups and several application layer data groups, is obtained
Statistic analysis result, the statistic analysis result include：Number of users of the different location in different time sections, packet loss, delay,
Access content type and network type；
Specifically, the different location number of users of whole network, packet loss, delay, visit in different time sections can be counted
Ask content type and network type；Can also count number of users of the different location in different time sections in each transmission channel,
Packet loss, delay, access content type in each transmission channel etc..
Wherein it is possible to be counted by granularity of day, the daily number of users in different location, daily packet loss can be counted
Rate, delay and access content type, so as to respectively obtain the number of users on working day and nonworkdays, flow is mainly distributed ground
Area and application program distribution (can be counted, different access content types corresponds to different type by accessing content type
Application program) difference.
When being counted to daily data, it can also count respectively in flow peak period and non-flow peak period, it is average
Number of users, averagely transmission rate hourly and average number of dropped packets hourly etc. hourly.By to daily data
Statistical analysis is carried out, daily operating condition can be obtained, particularly peak flow situation, while to specific discharge peak period and non-
The difference of flow peak period, e.g., changes in flow rate, the changing of user volume, regional flow changes respectively and the accounting of application program
Difference condition of variation etc..
Number of users can be characterized by source address number, also just be said, source address number is number of users.The number of number of users
It can also be characterized by flow, that is to say, that flow is bigger, and number of users is more.
Step S14：According to the number of users of the network in first time period in the first place, packet loss, delay, access content
Type and network type determine the first transmission optimization algorithm corresponding with the network in the first place in first time period；
At present, the flow congestion control of Transmission Control Protocol is broadly divided into two classes：The reno algorithms of the representative characterized by packet loss,
Cubic algorithms and the vegas algorithms of representative, westwood algorithms characterized by time delay.Inventor is the study found that westwood is calculated
Method is suitable for the transmission of wireless side.Reno algorithms are suitable for the Ethernet of general network, such as traditional 10Mbps.And cubic is calculated
Method is suitable for the transmission of express network, as transmission rate is more than the network of 100Mbps.
Specifically, can be when the number of users of the network in first time period in the first place is more than preset number, foundation
Packet loss, delay access content type and network type and determine corresponding with the network in the first place in first time period the
One transmission optimization algorithm.Transmission optimization algorithm is determined according to statistical result, different statistical results, transmission optimization algorithm may not
Together.
Such as：In the case where outlet bandwidth is fixed as the cable network environment of 1G, platform calculates the data come and shows, weekly
6 20. -22 points, concurrent user number of some video website in some coverage can be more than 5000.
Under this specific environment, the average packet loss ratio that platform collects the coverage is 0.1082%, and being delayed is
0.1642s：
Basis for estimation 1：Network environment, can be without considering westwood algorithms to be wired；
Basis for estimation 2：Transferring content is video, belongs to the application of less demanding to packet loss, is calculated without considering reno and cubic
Method；
Basis for estimation 3：Transferring content is video, belongs to the application very high to delay requirement, considers vegas algorithms.
Therefore, platform can trigger video website and carry out data using vegas algorithms when 20. -22 on every Saturdays
Transmission.After vegas algorithms, the average packet loss ratio that platform collects the coverage is 0.1381%, is delayed as 0.042s.
On the basis of statistical result, it can be combined with network transfer speeds and determine transmission optimization algorithm, for example, wireless side
Due to being influenced be subject to unlike signal, the feature for having network speed unstable.If in stable family wireless environment, net
Cubic algorithms may be employed in more than network transmission speed 1Mbps；If being in unstable, network transfer speeds are in fluctuation and net
Network transmission speed<1Mbps, wireless signal is unstable, and westwood algorithms may be employed.
Step S15：According to the first transmission optimization algorithm in first time period to the network in first place into
Row optimization.
Wide area network transmission optimization method provided in an embodiment of the present invention, captures each data packet, analyzes the transmission number of plies
According to group and application layer data group, statistical analysis is carried out to acquired several transport layer data groups and several application layer data groups,
Statistic analysis result is obtained, the statistic analysis result includes：Number of users of the different location in different time sections, packet loss,
Delay accesses content type and network type；According to the number of users of the network in first time period in the first place, packet loss,
Delay, access content type and network type determine the first transmission optimization algorithm；Exist according to the first transmission optimization algorithm
The network in first place is optimized in first time period.That is, in the embodiment of the present invention, to different applications
Environment is transmitted optimization using different optimization algorithms so that more tallies with the actual situation to the optimization of transmission network, so as to drop
The probability that packet loss of link occurs in low transmission network, latency issue occurs, improves network quality.
In other words, wide area network transmission optimization method provided in an embodiment of the present invention, early period big data collect, analysis
On the basis of, it determines different network environments and congestion state, dispatches optimal transmission optimization algorithm, go out so as to reduce transmission network
The probability that existing packet loss of link, latency issue occur, improves network quality.
In above-described embodiment, optionally, number of users of the network in first time period, ensemble stream according to the first place
Amount, packet loss, delay and network type determine that the first transmission optimization algorithm can be realized in the following way：
When number of users is more than predetermined threshold value, according to the access content type in first place in first time period, lose
Bag rate, delay determine first kind optimization algorithm collection；
The second class optimization algorithm collection is determined according to network type used in first place in first time period；
It seeks common ground to the first kind optimization algorithm collection and the second class optimization algorithm collection；
The first transmission optimization algorithm is determined according to obtained intersection.
If specifically, only include one in the intersection of the first kind optimization algorithm collection and the second class optimization algorithm collection
Transmission optimization algorithm a, it is determined that optimization algorithm is the first transmission optimization algorithm；
If the intersection of the first kind optimization algorithm collection and the second class optimization algorithm collection includes at least two transmission
Optimization algorithm, from obtaining in intersection, a definite transmission optimization algorithm is the first transmission optimization algorithm at random.
Further, transmission optimization algorithm can also be changed by the statistic analysis result in the embodiment of the present invention
Into.For example, the flow congestion control algolithm of Transmission Control Protocol would generally set congestion window, congestion window is bigger, and congestion is more severe.
It therefore, can be by the statistic analysis result in the embodiment of the present invention to the congestion in the flow congestion control algolithm of Transmission Control Protocol
Window is adjusted in real time.It for example, can be according to actual bandwidth, by setting thresholding of the window expansion factor to congestion window
Value is enlarged or reduces, and realizes that dynamic adjusts the purpose of flow congestion control algolithm.
Corresponding with embodiment of the method, the application also provides a kind of wide area network transmission Optimization Platform, and the application provides wide
A kind of structure diagram of domain net transmission optimization platform is as shown in Fig. 2, can include：
Handling module 21, analysis module 22, statistical module 23, algorithm determining module 24 and optimization module 25；Wherein,
Handling module 21 is used to capture each data packet transmitted in network；
Analysis module 22 is used to analyze each data packet grabbed, obtains transport layer data group and using the number of plies
According to group, wherein, the transport layer data group includes：The byte number of data entrained by source address, destination address, data packet,
Number of dropped packets；The application layer data group includes：Access time, place, the type for accessing content type, using network；
Statistical module 23 is used to carry out statistical to acquired several transport layer data groups and several application layer data groups
Analysis, obtains statistic analysis result, and the statistic analysis result includes：Number of users, packet loss of the different location in different time sections
Rate, delay access content type and network type；
Algorithm determining module 24 is used for number of users of the network in first time period according to the first place, packet loss, prolongs
When, access content type and network type and determine the first transmission optimization algorithm；
Optimization module 25 be used for according to the first transmission optimization algorithm in first time period to first place
Network optimizes.
A kind of wide area network transmission Optimization Platform provided in an embodiment of the present invention, captures each data packet, analyzes transmission
Layer data group and application layer data group carry out statistical to acquired several transport layer data groups and several application layer data groups
Analysis, obtains statistic analysis result, and the statistic analysis result includes：Number of users, packet loss of the different location in different time sections
Rate, delay access content type and network type；Number of users, packet loss of the network in first time period according to the first place
Rate, delay, access content type and network type determine the first transmission optimization algorithm；According to the first transmission optimization algorithm
The network in first place is optimized in first time period.That is, in the embodiment of the present invention, it should to different
Optimization is transmitted using different optimization algorithms with environment so that it more tallies with the actual situation to the optimization of transmission network, so as to
The probability that packet loss of link occurs in transmission network, latency issue occurs is reduced, is improved network quality.
Optionally, algorithm determining module 24 can include：
First determination unit, for when number of users is more than predetermined threshold value, according to first place in first time period
Access content type, packet loss, delay determine first kind optimization algorithm collection；
Second determination unit, for when number of users is more than predetermined threshold value, according to the first place belonging in first time period
Used network type determines the second class optimization algorithm collection；
Computing unit, for seeking common ground to the first kind optimization algorithm collection and the second class optimization algorithm collection；
3rd determination unit, for determining the first transmission optimization algorithm according to obtained intersection.
Optionally, the 3rd determination unit can include：
First determination subelement, if the intersection for the first kind optimization algorithm collection and the second class optimization algorithm collection
In only include a transmission optimization algorithm, it is determined that an optimization algorithm be the first transmission optimization algorithm；
Second determination subelement, if the intersection for the first kind optimization algorithm collection and the second class optimization algorithm collection
Include at least two transmission optimization algorithms, a definite transmission optimization algorithm is the described first transmission at random from obtaining in intersection
Optimization algorithm.
The application also provides a kind of the specific of the concrete application example for the wide area network transmission Optimization Platform that the application provides and shows
It is intended to, as shown in figure 3, including：The wide area network transmission Optimization Platform 32 that terminal device 31 is provided by the application accesses internet
33。
Wide area network transmission Optimization Platform 32 includes transport-layer proxy server 321, data parameter acquisition system 322 and offline
Network data analysis system 323；Wherein,
The operating system of transport-layer proxy server 321 is the operating system based on linux.Wide area network transmission optimization algorithm
Control module is embedded in transport-layer proxy server 321, controls proxy server to the transmission algorithm of user's transport layer.It passes
Defeated layer proxy server disposition by the way of positive supply, and captures data packet between user and Internet network.
The data packet that data parameter acquisition system 322 captures transport-layer proxy server 321 is analyzed and stored, and is obtained
Take several transport layer data groups and several application layer data groups.
Offline network data analysis system 323 to acquired several transport layer data groups and several application layer data groups into
Row statistical analysis obtains statistic analysis result, determines transmission optimization algorithm according to analysis result, then result is fed back to transport layer
Proxy server 321, in order to which wide area network transmission optimization algorithm control module is passed according to identified transmission optimization algorithm
Defeated optimal control.
It is apparent to those skilled in the art that for convenience and simplicity of description, the wide area of foregoing description
The specific work process of net transmission optimization platform, may be referred to the corresponding process in preceding method embodiment, details are not described herein.
The foregoing description of the disclosed embodiments enables professional and technical personnel in the field to realize or use the present invention.
A variety of modifications of these embodiments will be apparent for those skilled in the art, it is as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, it is of the invention
The embodiments shown herein is not intended to be limited to, and is to fit to and the principles and novel features disclosed herein phase one
The most wide scope caused.
Claims (4)
1. a kind of wide area network transmission optimization method, which is characterized in that including：
Each data packet transmitted in crawl network；
The each data packet grabbed is analyzed, obtains transport layer data group and application layer data group, wherein, the transmission
Layer data group includes：The byte number of entrained data, number of dropped packets in source address, destination address, data packet；It is described to apply the number of plies
Include according to group：Access time, place, the type for accessing content type, using network；
Statistical analysis is carried out to acquired several transport layer data groups and several application layer data groups, obtains statistical analysis knot
Fruit, the statistic analysis result include：Number of users of the different location in different time sections, packet loss, access content class at delay
Type and network type；
Number of users, packet loss, delay, access content type and network of the network in first time period according to the first place
Type determines the first transmission optimization algorithm, wherein, when number of users is more than predetermined threshold value, according in first time period described first
The access content type in place, packet loss, delay determine first kind optimization algorithm collection and according in first time period described the
Network type used in one place determines the second class optimization algorithm collection；To the first kind optimization algorithm collection and second class
Optimization algorithm collection seeks common ground；The first transmission optimization algorithm is determined according to obtained intersection；
The network in first place is optimized in first time period according to the first transmission optimization algorithm.
2. according to the method described in claim 1, it is characterized in that, the intersection that the foundation obtains determines that first transmission is excellent
Changing algorithm includes：
If it only includes a transmission optimization in the intersection of the first kind optimization algorithm collection and the second class optimization algorithm collection to calculate
Method a, it is determined that optimization algorithm is the first transmission optimization algorithm；
If the intersection of the first kind optimization algorithm collection and the second class optimization algorithm collection includes at least two transmission optimizations
Algorithm, from obtaining in intersection, a definite transmission optimization algorithm is the first transmission optimization algorithm at random.
3. a kind of wide area network transmission Optimization Platform, which is characterized in that including：
Handling module, for capturing each data packet transmitted in network；
Analysis module for analyzing each data packet grabbed, obtains transport layer data group and application layer data group,
Wherein, the transport layer data group includes：Byte number, the packet loss of entrained data in source address, destination address, data packet
Number；The application layer data group includes：Access time, place, the type for accessing content type, using network；
Statistical module for carrying out statistical analysis to acquired several transport layer data groups and several application layer data groups, obtains
Statistic analysis result is taken, the statistic analysis result includes：Number of users of the different location in different time sections, packet loss prolong
When, access content type and network type；
Algorithm determining module, for according to the number of users of the network in first time period in the first place, packet loss, delay, visit
Ask that content type and network type determine the first transmission optimization algorithm, wherein, the algorithm determining module includes：First determines
Unit for when number of users is more than predetermined threshold value, according to the access content type in first place in first time period, is lost
Bag rate, delay determine first kind optimization algorithm collection；Second determination unit, for when number of users is more than predetermined threshold value, according to the
Network type used in first place determines the second class optimization algorithm collection in one period；Computing unit, for institute
It states first kind optimization algorithm collection and the second class optimization algorithm collection seeks common ground；3rd determination unit, for according to obtained friendship
Collection determines the first transmission optimization algorithm；
Optimization module, for according to the first transmission optimization algorithm in first time period to the network in first place into
Row optimization.
4. wide area network transmission Optimization Platform according to claim 3, which is characterized in that the 3rd determination unit includes：
First determination subelement, if in the intersection of the first kind optimization algorithm collection and the second class optimization algorithm collection
Including a transmission optimization algorithm, it is determined that an optimization algorithm is the first transmission optimization algorithm；
Second determination subelement, if being wrapped in intersection for the first kind optimization algorithm collection and the second class optimization algorithm collection
At least two transmission optimization algorithms are included, a definite transmission optimization algorithm is first transmission optimization at random from obtaining in intersection
Algorithm.
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