CN104618258A - Control method of data transmission rate - Google Patents
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Abstract
The invention provides a control method of data transmission rate. The control method of the data transmission rate includes that a streaming media server detects a QoS (quality of service) index, and judges a current network congestion state; master control delay of sending of a data package is adjusted according to the current network congestion state, and network throughput is controlled by using the master control delay. The control method of the data transmission rate is a transmission control method directed at the streaming media server limited in hardware condition, improves instantaneity and validity of streaming media transmission, effectively adjusts the transmission rate, and significantly improves QoS.
Description
Technical field
The present invention relates to Internet Transmission and communicate, particularly a kind of flow-medium transmission method.
Background technology
In recent years, along with the high speed development of the Internet and information technology, and the combination of server and the Internet, how procotol is optimized, transmitting multimedia data efficiently under the limited network bandwidth, and avoid causing network congestion, become one of developing direction of the media server such as video, voice.Stream medium data transmission on the internet relies on the network transmission protocol, comprise TCP and UDP host-host protocol, if with not possessing any sequence, the agreement of re-transmission and congestion control carrys out transmitting multimedia data, the network bandwidth can be exhausted rapidly, and along with the deterioration of network state, the increase of number of dropped packets also can affect transmission quality.Existing congestion control is not suitable for the limited embedded device of hardware condition, does not adjust accordingly according to the feature of embedded device, cannot meet real-time and the accuracy of stream medium data in embedded device.Therefore, for the problems referred to above existing in correlation technique, at present effective solution is not yet proposed.
Summary of the invention
For solving the problem existing for above-mentioned prior art, the present invention proposes a kind of control method of message transmission rate, comprising:
Flush type stream media server measures QoS index, judges current network congestion situation;
According to current network congestion situation, the master control of adjustment Packet Generation postpones, and utilizes described master control Time delay control network throughput.
Preferably, described QoS index comprises packet loss, and described according to current network congestion situation, and the master control of adjustment Packet Generation postpones, and utilizes described master control Time delay control network throughput, comprises further:
(1) according to the network delay γ (1) in network delay value formulae discovery the 1st moment, in this, as the network delay estimated value R (1) in the 1st moment, then the network delay γ (2) in the 2nd moment is calculated, calculated the network delay estimated value in the 2nd moment by smoothing formula, described smoothing formula is as follows:
R(t)＝(1-θ)·R(t-1)+θ·γ(t)
In formula, θ is smoothing factor, is the constant between 0-1;
(2) network delay estimated value R (t) is carried out regularization, make network delay grade M (t) calculated be the numerical value between 0-1, the method calculating M (t) is as follows:
M(t)＝R(t)/τ
In formula, τ is that tolerable maximum network postpones;
(3) adopt the method postponed based on master control to adjust transmission rate, comprising:
Between every two packets, the master control of one, interval postpones, or between every two groups of packets, the master control of one, interval postpones, and the scope of the parameter D (t) that master control postpones is [D
l, D
h], D
land D
hcomputing formula is as follows:
D
l＝M
ave/M
h
D
h＝M
ave/M
l
M in formula
hand M
lthe minimum and maximum volume of transmitted data that the system in the unit interval that is respectively allows, M
avefor each or often organize data package size;
(4) judgement of congestion situation: set two congestion threshold L
hand L
l, and 0<L
l<L
h<1, [0, L
l] as idle condition, [L
h, 1] and as congestion condition, judge different congestion situations according to different network delays grade M (t) and M (t-1), then computation rate adjusts parameter d respectively, specifically comprises:
Situation 1:M (t)>=L
hand M (t-1) <L
h, namely the t-1 moment does not enter congestion condition, and t enters congestion condition, then postpone to reduce transmission rate by increasing master control:
d＝(D
h-D
l)·(M(t)-L
h)/(1-L
h)
D(t)＝min{D(t)+d，D
h}
Situation 2:M (t)>=M (t-1)>=L
h, namely the t-1 moment enters congestion condition, and t Congestion Level SPCC is more serious than the t-1 moment, then postpone to reduce transmission rate by increasing master control:
d＝(D
h-D
l)·(M(t)-M(t-1))/(1-L
h)
D(t)＝min{D(t)+d，D
h}
Situation 3:M (t) <L
l, namely t enters idle condition, then postpone to accelerate transmission rate by reducing master control:
d＝(D
h-D
l)·(L
l-M(t))/L
l
D(t)＝max{D(t)-d，D
l}
Situation 4: if belong to other situations of above 3 kinds of situations, then do not need to do the adjustment of any speed, i.e. D (t)=D (t).
The present invention compared to existing technology, has the following advantages:
The invention provides a kind of transfer control method of the streaming media server limited for hardware condition, improve real-time and the validity of streaming media, transmission rate is effectively adjusted, and significantly improves QoS.
Accompanying drawing explanation
Fig. 1 is the flow chart of the control method of message transmission rate according to the embodiment of the present invention.
Embodiment
Detailed description to one or more embodiment of the present invention is hereafter provided together with the accompanying drawing of the diagram principle of the invention.Describe the present invention in conjunction with such embodiment, but the invention is not restricted to any embodiment.Scope of the present invention is only defined by the claims, and the present invention contain many substitute, amendment and equivalent.Set forth many details in the following description to provide thorough understanding of the present invention.These details are provided for exemplary purposes, and also can realize the present invention according to claims without some in these details or all details.
The object of congestion control is exactly net control throughput, thus realizes low packet loss ratio, low network delay and low jitter.For streaming media server, remote wan communication is its a large feature, should be taken into account the problem of network delay in congestion control, simultaneously in order to alleviate network burden, replaces round-trip delay with one-way delay.Add timestamp in transmit leg packet header, just can calculate network delay recipient according to the timestamp of transmit leg and time of reception, thus computing relay.The congestion avoidance algorithm that the present invention improves adds sequence number and timestamp at data packet head, carries out estimating by measuring packet loss, network delay and judge network state.
An aspect of of the present present invention provides a kind of control method of message transmission rate.Fig. 1 is the control method flow chart of the message transmission rate according to the embodiment of the present invention.
The mechanism of embedded media server data rate adjustment is, the master control experiencing a period of time between the transmission of every two packets or every two groups of packets postpones, the length net control throughput postponed by master control.Speed Regulation mechanism, all based on message transmission rate, namely by the data volume that the formulae discovery subsequent time unit interval should send, then adjusts.Accurate and effective the computer that mechanism is higher for CPU handling property, system clock accuracy is higher of such speed adjustment, but for limited system resources streaming media server be inappropriate.In sum, for the streaming media server based on embedded device, should not take the Regulation mechanism based on transmission rate, and the speed Regulation mechanism that postpones based on master control should be taked, both can simplified code complexity, effectively can control throughput again.
The present invention adopts dual threshold, and improves the decision method of network state.For packet loss and these two congestion metric of network delay, adopt the jamming control method of jamming control method based on packet loss and delay Network Based respectively.
Introduce the congestion avoidance algorithm flow process based on packet loss below.
(1) according to the packet loss ρ (1) in packet loss formulae discovery the 1st moment, in this, as the packet loss estimated value P (1) in the 1st moment.Then calculate the packet loss ρ (2) in the 2nd moment, calculated the packet loss estimated value in the 2nd moment by smoothing formula.Described smoothing formula is as follows:
P(t)＝(1-α)·P(t-1)+α·ρ(t)
In formula, α is smoothing factor, is the constant between 0-1.When α close to 1 time, packet loss estimated value P (t) is close to packet loss ρ (t), and smooth effect is not obvious; When α close to 0 time, packet loss estimated value P (t) close to the packet loss estimated value P (t-1) in a upper moment, too steadily, cannot tracking in time present packet loss.So, according to different needs, different α should be selected.In the present embodiment, in order to take into account real-time and stability, smoothing factor gets 0.5.
(2) in order to simplify calculating, packet loss estimated value P (t) being carried out regularization, making packet loss grade L (t) calculated be the numerical value between 0-1.Formula is as follows:
L(t)＝P(t)/β
In formula, β is tolerable maximum packet loss, and this value is selected in advance according to different demand.Select 3% in the present invention as tolerable maximum packet loss.
(3) method postponed based on master control is adopted to adjust transmission rate: the master control of one, interval postpones between every two packets, or between two groups of packets (often group has several packets), the master control of one, interval postpones.The scope of the parameter D (t) that master control postpones is [D
l, D
h], wherein D
land D
hneed require according to chip performance, operating system precision and specific tasks and select.D
land D
hcomputing formula is as follows:
D
l＝M
ave/M
h
D
h＝M
ave/M
l
M in formula
hand M
lthe minimum and maximum volume of transmitted data that the system in the unit interval that is respectively allows, M
avefor each or often organize data package size.
(4) judgement of congestion situation: set two congestion threshold L
hand L
l, and 0<L
l<L
h<1.[0, Ll] as idle condition, [L
h, 1] and as congestion condition.Judge different congestion situations according to different packet loss grade L (t) and L (t-1), then computation rate adjusts parameter d respectively.
Situation 1:L (t)>=L
hand L (t-1) <L
h, namely the t-1 moment does not enter congestion condition, and t enters congestion condition, should postpone to reduce transmission rate by increasing master control.
d＝(D
h-D
l)·(L(t)-L
h)/(1-L
h)
D(t)＝min{D(t)+d，D
h}
Situation 2:L (t)>=L (t-1)>=L
h, namely the t-1 moment enters congestion condition, and t Congestion Level SPCC is more serious than the t-1 moment, should postpone to reduce transmission rate by increasing master control.
d＝(D
h-D
l)·(L(t)-L(t-1))/(1-L
h)
D(t)＝min{D(t)+d，D
h}
Situation 3:L (t) <L
l, namely t enters idle condition, should postpone to accelerate transmission rate by reducing master control.
d＝(D
h-D
l)·(L
l-L(t))/L
l
D(t)＝max{D(t)-d，D
l}
Situation 4: except other situations of above 3 kinds of situations, does not need to do the adjustment of any speed.I.e. D (t)=D (t)
The congestion avoidance algorithm of delay Network Based is substantially identical with the congestion avoidance algorithm based on packet loss, only needs to replace packet loss with corresponding network delay, then substitutes into above formulae discovery.
(1) according to the network delay γ (1) in network delay value formulae discovery the 1st moment, in this, as the network delay estimated value R (1) in the 1st moment.Then calculate the network delay γ (2) in the 2nd moment, calculated the network delay estimated value in the 2nd moment by smoothing formula.Described smoothing formula is as follows:
R(t)＝(1-θ)·R(t-1)+θ·γ(t)
In formula, θ is smoothing factor, is the constant between 0-1.When θ close to 1 time, network delay estimated value R (t) is close to network delay γ (t), and smooth effect is not obvious; When θ close to 0 time, network delay estimated value R (t) close to the network delay estimated value R (t-1) in a upper moment, too steadily, cannot tracking in time current network postpone.So, according to different needs, different θ should be selected.In the present embodiment, in order to take into account real-time and stability, smoothing factor gets 0.5.
(2) in order to simplify calculating, network delay estimated value R (t) being carried out regularization, making network delay grade M (t) calculated be the numerical value between 0-1.Formula is as follows:
M(t)＝R(t)/τ
In formula, τ is that tolerable maximum network postpones, and this value is selected in advance according to different demand.3% is selected to postpone as tolerable maximum network in the present invention.
(3) method postponed based on master control is adopted to adjust transmission rate: the master control of one, interval postpones between every two packets, or between two groups of packets (often group has several packets), the master control of one, interval postpones.The scope of the parameter D (t) that master control postpones is [D
l, D
h], wherein D
land D
hneed require according to chip performance, operating system precision and specific tasks and select.D
land D
hcomputing formula is as follows:
D
l＝M
ave/M
h
D
h＝M
ave/M
l
M in formula
hand M
lthe minimum and maximum volume of transmitted data that the system in the unit interval that is respectively allows, M
avefor each or often organize data package size.
(4) judgement of congestion situation: set two congestion threshold L
hand L
l, and 0<L
l<L
h<1.[0, Ll] as idle condition, [L
h, 1] and as congestion condition.Judge different congestion situations according to different network delays grade M (t) and M (t-1), then computation rate adjusts parameter d respectively.
Situation 1:M (t)>=L
hand M (t-1) <L
h, namely the t-1 moment does not enter congestion condition, and t enters congestion condition, should postpone to reduce transmission rate by increasing master control.
d＝(D
h-D
l)·(M(t)-L
h)/(1-L
h)
D(t)＝min{D(t)+d，D
h}
Situation 2:M (t)>=M (t-1)>=L
h, namely the t-1 moment enters congestion condition, and t Congestion Level SPCC is more serious than the t-1 moment, should postpone to reduce transmission rate by increasing master control.
d＝(D
h-D
l)·(M(t)-M(t-1))/(1-L
h)
D(t)＝min{D(t)+d，D
h}
Situation 3:M (t) <L
l, namely t enters idle condition, should postpone to accelerate transmission rate by reducing master control.
d＝(D
h-D
l)·(L
l-M(t))/L
l
D(t)＝max{D(t)-d，D
l}
Situation 4: except other situations of above 3 kinds of situations, does not need to do the adjustment of any speed.I.e. D (t)=D (t)
For the different network environments of local area network (LAN) and wide area network, above two kinds of congestion avoidance algorithms are integrated with the relation of "or", just can realize the judgement to network congestion degree and control.
The Internet Transmission with congestion control is a closed loop, and network connects the transmitting-receiving relating to the different types of data of two ports.Streaming media server end and client all need unlatching two threads, set up two sockets, the port that correspondence two is different, carry out the transmission of multi-medium data and control signal respectively.
At server end, the transmission thread of server end gets multi-medium data pending from buffering area, sends after adding timestamp and sequence number, then checks whether and obtains new speed adjustment parameter.If obtained, then revise master control delay parameter; Otherwise, carry out master control delay according to parameter before.Receiving thread receives the velocity feedback data from client, once receive new speed adjustment parameter, informs immediately and sends thread amendment master control delay parameter.
In client, the receiving thread of client receives the multi-medium data from server end, then its data, sequence number and timestamp is got, network state judgement is carried out according to congestion avoidance algorithm mentioned above, and the speed feedback value that calculating place is new, push to transmission thread, send thread and just send once obtain new speed feedback value.
According to another embodiment of the present invention, the neural network forecast amount needed for transmission rate control comprises packet loss and stream medium data percent of pass, adds up above-mentioned parameter at receiving terminal.In order to prevent and that cause shake shorter due to the parameter acquiring cycle, adopt weighting smoothing processing.
If R
iand P
irepresent the stream medium data percent of pass in streaming media process in i-th time interval and packet loss respectively.R
iand P
icomputational methods are as follows:
R
i=Σ
n-1 j=0(μ
jd
i-j/ T
i-j), wherein Σ
n-1 j=0(μ
j)=1;
P
i=Σ
n-1 j=0(α
jlP
i-j/ SP
i-j), wherein Σ
n-1 j=0(α
j)=1;
In above formula, N represents the time interval number calculated needed for above-mentioned two parameter, α
jand μ
jrepresent weight coefficient; LP
i-jbe (i-j) packet loss in the time interval, SP
i-jit is (i-j) number-of-packet that in the time interval, transmitting terminal sends.D
i-jrepresent the receiving stream media data volume of statistics in (i-j) time interval, T
i-jrepresent the exact value in (i-j) time interval.
Rate control mechanism according to the present embodiment is: when network underloading, the change constant add factor determined by packet loss and constant add factor determine speed increasing degree, when network overload, the change constant multiplicative Summing Factor constant subtractive factor determined by packet loss determines rate reduction amplitude.
The step of Adaptive Rate Shape is as follows:
1) constant parameter is set.The most high threshold P of the patient packet loss of institute in streaming media process
lmaxand the minimum packet loss threshold value P of Streaming Media facile transport
lmin; Max-flow media data transmission rate R
maxand minimum stream media data transmission rate R
min;
2) network state is judged.Network state can by compare actual measurement packet loss and packet loss threshold value determine.Work as P
i>P
lmax, wireless network is judged as overload; Work as P
i<P
lmin, wireless network is judged as underloading; Work as P
lmin<P
i<P
lmax, now wireless network is poised state, does not need to carry out speed adjustment.
3) network overload process.System should reduce stream medium data speed to ensure the QoS of Streaming Media receiving terminal.First determine that network overloads number of times k, initiation parameter β continuously
0; Then computation rate reduces the factor: β
k=β
k-1(1-0.6m)
2
Wherein the packet loss difference factor is: m=P
i-P
lmax
Finally, suitable transmission of flow media data speed is: R
new=MAX{ β
kr
i-50, R
min}
4) network underloading process.When network underloading, need to increase transmitting terminal transmission rate to increase network utilization.First the packet loss difference factor is calculated: m=t (P
lmin-P
i)
In formula: t represents multiplication factor; Then computation rate increases the factor:
δ＝0.2e
mR
0+60
In formula: R
0for the speed growth factor preset.Now predicted transmit rate is:
R
new＝MIN{δ+R
i，R
max}
In order to prevent the fine jitter of network from causing system transfer rate frequently to switch, thus cause unnecessary overhead.By setting rate switched thresholds R
threduce system velocity handover overhead.After the new transmission rate of prediction, need newer speed R
newwith front first time rate adjusted value R
last, only have and work as | R
new-R
last| >R
thtime, new speed adjustment is just considered to effective.
In sum, the invention provides a kind of transfer control method of the streaming media server limited for hardware condition, improve real-time and the validity of streaming media, transmission rate is effectively adjusted, and significantly improves QoS.
Obviously, it should be appreciated by those skilled in the art, above-mentioned of the present invention each module or each step can realize with general computing system, they can concentrate on single computing system, or be distributed on network that multiple computing system forms, alternatively, they can realize with the executable program code of computing system, thus, they can be stored and be performed by computing system within the storage system.Like this, the present invention is not restricted to any specific hardware and software combination.
Should be understood that, above-mentioned embodiment of the present invention only for exemplary illustration or explain principle of the present invention, and is not construed as limiting the invention.Therefore, any amendment made when without departing from the spirit and scope of the present invention, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.In addition, claims of the present invention be intended to contain fall into claims scope and border or this scope and border equivalents in whole change and modification.
Claims (2)
1. a control method for message transmission rate, is characterized in that, comprising:
Streaming media server measures QoS index, judges current network congestion situation;
According to current network congestion situation, the master control of adjustment Packet Generation postpones, and utilizes described master control Time delay control network throughput.
2. method according to claim 1, is characterized in that, described QoS index comprises network delay, and described according to current network congestion situation, and the master control of adjustment Packet Generation postpones, and utilizes described master control Time delay control network throughput, comprises further:
(1) according to the network delay γ (1) in network delay value formulae discovery the 1st moment, in this, as the network delay estimated value R (1) in the 1st moment, then the network delay γ (2) in the 2nd moment is calculated, calculated the network delay estimated value in the 2nd moment by smoothing formula, described smoothing formula is as follows:
R(t)＝(1-θ)·R(t-1)+θ·γ(t)
In formula, θ is smoothing factor, is the constant between 0-1;
(2) network delay estimated value R (t) is carried out regularization, make network delay grade M (t) calculated be the numerical value between 0-1, the method calculating M (t) is as follows:
M(t)＝R(t)/τ
In formula, τ is that tolerable maximum network postpones;
(3) adopt the method postponed based on master control to adjust transmission rate, comprising:
Between every two packets, the master control of one, interval postpones, or between every two groups of packets, the master control of one, interval postpones, and the scope of the parameter D (t) that master control postpones is [D
l, D
h], D
land D
hcomputing formula is as follows:
D
l＝M
ave/M
h
D
h＝M
ave/M
l
M in formula
hand M
lthe minimum and maximum volume of transmitted data that the system in the unit interval that is respectively allows, M
avefor each or often organize data package size;
(4) judgement of congestion situation: set two congestion threshold L
hand L
l, and 0<L
l<L
h<1, [0, L
l] as idle condition, [L
h, 1] and as congestion condition, judge different congestion situations according to different network delays grade M (t) and M (t-1), then computation rate adjusts parameter d respectively, specifically comprises:
Situation 1:M (t)>=L
hand M (t-1) <L
h, namely the t-1 moment does not enter congestion condition, and t enters congestion condition, then postpone to reduce transmission rate by increasing master control:
d＝(D
h-D
l)·(M(t)-L
h)/(1-L
h)
D(t)＝min{D(t)+d，D
h}
Situation 2:M (t)>=M (t-1)>=L
h, namely the t-1 moment enters congestion condition, and t Congestion Level SPCC is more serious than the t-1 moment, then postpone to reduce transmission rate by increasing master control:
d＝(D
h-D
l)·(M(t)-M(t-1))/(1-L
h)
D(t)＝min{D(t)+d，D
h}
Situation 3:M (t) <L
l, namely t enters idle condition, then postpone to accelerate transmission rate by reducing master control:
d＝(D
h-D
l)·(L
l-M(t))/L
l
D(t)＝max{D(t)-d，D
l}
Situation 4: if belong to other situations of above 3 kinds of situations, then do not need to do the adjustment of any speed, i.e. D (t)=D (t).
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105407411A (en) * | 2015-10-21 | 2016-03-16 | 广州市百果园网络科技有限公司 | Data sending method and data sending device |
| CN106533959A (en) * | 2016-12-23 | 2017-03-22 | 锐捷网络股份有限公司 | Switching device and determination method for rate of outlet end thereof |
| CN109361566A (en) * | 2018-11-13 | 2019-02-19 | 天津津航计算技术研究所 | Utilize the method for test serial number and message time stamp prediction UDP Congestion Level SPCC |
| CN110505659A (en) * | 2018-05-18 | 2019-11-26 | 维沃移动通信有限公司 | Method, receiving end and the transmitting terminal of negotiation data transmission rate |
| CN110808884A (en) * | 2019-11-20 | 2020-02-18 | 中国人民解放军国防科技大学 | Network congestion control method |
| CN111193673A (en) * | 2020-04-10 | 2020-05-22 | 亮风台（上海）信息科技有限公司 | Data transmission rate control method, system and user equipment |
| CN114500682A (en) * | 2021-12-27 | 2022-05-13 | 天翼云科技有限公司 | Data packet processing method and device and edge device |
| CN115002240A (en) * | 2022-08-04 | 2022-09-02 | 深圳市星卡软件技术开发有限公司 | Data transmission system, method, device, equipment and medium |
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| CN105407411B (en) * | 2015-10-21 | 2019-05-03 | 广州市百果园网络科技有限公司 | A kind of data transmission method for uplink and data sending device |
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| CN106533959A (en) * | 2016-12-23 | 2017-03-22 | 锐捷网络股份有限公司 | Switching device and determination method for rate of outlet end thereof |
| CN106533959B (en) * | 2016-12-23 | 2019-07-19 | 锐捷网络股份有限公司 | The determination method and switching equipment of a kind of switching equipment outlet end rate |
| CN110505659B (en) * | 2018-05-18 | 2021-11-26 | 维沃移动通信有限公司 | Method for negotiating data transmission rate, receiving end and transmitting end |
| CN110505659A (en) * | 2018-05-18 | 2019-11-26 | 维沃移动通信有限公司 | Method, receiving end and the transmitting terminal of negotiation data transmission rate |
| CN109361566A (en) * | 2018-11-13 | 2019-02-19 | 天津津航计算技术研究所 | Utilize the method for test serial number and message time stamp prediction UDP Congestion Level SPCC |
| CN110808884A (en) * | 2019-11-20 | 2020-02-18 | 中国人民解放军国防科技大学 | Network congestion control method |
| CN110808884B (en) * | 2019-11-20 | 2022-01-28 | 中国人民解放军国防科技大学 | Network congestion control method |
| CN111193673A (en) * | 2020-04-10 | 2020-05-22 | 亮风台（上海）信息科技有限公司 | Data transmission rate control method, system and user equipment |
| CN114500682A (en) * | 2021-12-27 | 2022-05-13 | 天翼云科技有限公司 | Data packet processing method and device and edge device |
| CN114500682B (en) * | 2021-12-27 | 2023-08-08 | 天翼云科技有限公司 | Data packet processing method and device and side equipment |
| CN115002240A (en) * | 2022-08-04 | 2022-09-02 | 深圳市星卡软件技术开发有限公司 | Data transmission system, method, device, equipment and medium |
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