CN109361566A - Utilize the method for test serial number and message time stamp prediction UDP Congestion Level SPCC - Google Patents

Utilize the method for test serial number and message time stamp prediction UDP Congestion Level SPCC Download PDF

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Publication number
CN109361566A
CN109361566A CN201811346930.7A CN201811346930A CN109361566A CN 109361566 A CN109361566 A CN 109361566A CN 201811346930 A CN201811346930 A CN 201811346930A CN 109361566 A CN109361566 A CN 109361566A
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rate
message
packet
udp
transmission
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赵昶宇
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Tianjin Jinhang Computing Technology Research Institute
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Tianjin Jinhang Computing Technology Research Institute
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0852Delays
    • H04L43/0858One way delays
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/10Flow control; Congestion control
    • H04L47/11Identifying congestion
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/10Flow control; Congestion control
    • H04L47/12Avoiding congestion; Recovering from congestion
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/16Implementation or adaptation of Internet protocol [IP], of transmission control protocol [TCP] or of user datagram protocol [UDP]
    • H04L69/164Adaptation or special uses of UDP protocol

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Computer Security & Cryptography (AREA)
  • Environmental & Geological Engineering (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The present invention relates to a kind of methods using test serial number and message time stamp prediction UDP Congestion Level SPCC, belong to stream media technology field.Method proposed by the present invention can predict UDP network congestion according to the Network status of one way link, while not will increase network burden, and network packet loss rate is caused to increase;This method calculates simple, has compressed the judgement interval time of congestion level to greatest extent, and using linear function dynamic adjustment transmission rate, and the greatly smooth adjustment of transmission rate improves the utilization rate of Internet resources, reduces the packet loss of data packet.

Description

Utilize the method for test serial number and message time stamp prediction UDP Congestion Level SPCC
Technical field
The invention belongs to stream media technology fields, and in particular to a kind of to utilize test serial number and message time stamp prediction UDP The method of Congestion Level SPCC.
Background technique
In recent years, the Stream Media Application of having a try such as IP phone, the network teleconference and long-distance education largely increases, these are answered With mostly using udp protocol to be transmitted greatly.And udp protocol is a kind of connectionless protocol, it has certain excellent in transmission speed Gesture, but there is also the problems for lacking congestion control mechanism and transmission reliability difference.Network congestion will lead to multiple network transmission Performance is significantly deteriorated, such as throughput degradation, and communication time-delay increases, and packet loss increases etc., results even in when serious entire Network system collapse.Therefore, both had emphatically to industrial network for integrated good, the effective jamming control method of one kind of udp protocol Practical significance is wanted, also there is highly important researching value.
The current most common detection UDP congestion methods have:
1) based on the control of packet loss
The basic thought of this congestion control is that receiving end often receives N number of packet or sent a net to receiving end every T seconds The assessment report of network packet loss, transmitting terminal assess network congestion degree according to the packet loss of return, adjust transmission rate accordingly. This method is the measure for occurring to take after congestion in network, cannot function as the detection of congestion;And this timed interval Size directly affects the control effect of congestion.
2) congestion control based on round trip delay time RTT
This method sends detection group in transmitting terminal to estimate the RTT of future time, although can theoretically do by timing To the early detection of network congestion, but in real network RTT be difficult to calculate accurately, and it there is also chain roads Asymmetry cannot reflect the Network status problem on one way link.
Summary of the invention
(1) technical problems to be solved
The technical problem to be solved by the present invention is how to design a kind of method for predicting UDP Congestion Level SPCC, detect in the early stage It is effectively controlled to network congestion and to elm rate is passed, improves the utilization rate of Internet resources, reduce the packet loss of data packet.
(2) technical solution
Test serial number and message time stamp prediction UDP are utilized in order to solve the above-mentioned technical problems, the present invention provides a kind of The method of Congestion Level SPCC, comprising the following steps:
S1: the one way delay time of prediction UDP message packet;
S2: according to the volatility forecast Congestion Level SPCC of the one way delay time of UDP message packet, to judge UDP congestion level;
S3: transmission rate is adjusted according to congestion level and congestion judgment method.
Preferably, step S1Specifically:
When carrying out network transmission based on udp protocol, time stamp when transmitting terminal is by the serial number and transmission of current message packet is made It is sent to receiving end for message content, after receiving end receives the message of transmitting terminal, to transmitting terminal feedback reception confirmation message, is received It include test serial number and message time stamp in confirmation message, wherein receiving the report that test serial number and transmitting terminal in confirmation message are sent Literary serial number is identical, and the message time stamp received in confirmation message is that receiving end receives the time stamp after message, and the one way of UDP message packet is prolonged When the time be equal to receiving end send receive confirmation message in message timestamp value and transmitting terminal send message in timestamp value it Difference;
Whether after transmitting terminal receives the reception confirmation message of receiving end transmission, it is identical to compare two test serial numbers first, If not identical, show that this receives confirmation message and be not from the feedback for currently having sent message, then when not calculating one way delay Between;If they are the same, then the timestamp value that receiving end is fed back is subtracted to the timestamp value of transmitting terminal transmission, the one way for obtaining UDP message packet is prolonged When the time.
Preferably, the one way delay time of the (n+1)th packet of low-pass filter prediction is utilized are as follows:
Dn+1=Dn+α×(bn-Dn) (1)
Wherein, α (0 < α < 1) is modifying factor, DnIndicate the one way delay time of the n-th packet of prediction, bnIndicate current real The one way delay time of border measurement, according to the adjustable section b of αnTo DnInfluence,
Preferably, in formula (1), D is enabled2=b1, i.e., the b that is obtained with actual measurement1It is worth the list of the 2nd packet as prediction Journey delay time.
Preferably, step S2Specifically:
The transmission time stamp for enabling the n-th packet voice is STn, the transmission time stamp of the (n+1)th packet voice is STn+1, the n-th packet voice connects Time receiving stamp is RTn, the reception time stamp of the (n+1)th packet voice is RTn+1, when according to the receiving time interval of UDP data packet and sending Between be spaced difference extent of deviation define congestion level;
Enabling L is congestion level characterization value, calculation method are as follows:
Wherein, STn+1-STnIndicate the transmission time interval of adjacent two packet, RTn+1-RTnIndicate the receiving time of adjacent two packet Interval, the value of L is bigger, shows that Congestion Level SPCC is higher;
The three grades being divided into congestion level according to L value in following table:
Congestion level 1 2 3
Network state It is idle Well Congestion
The range of L 0 < L≤Wu Wu< L≤Wl L≥Wl
Wherein, WuIndicate upper limit value when network low-load state, WlIndicate lower limit value when network severe congestion state.
Preferably, step S3Specifically:
Enabling UDP message packet transmission speed interval range is [Ratemin, Ratemax], wherein RateminIndicate UDP message packet Acceptable minimum transmission rate, RatemaxThe targeted rate for indicating UDP message packet, enables RatenowFor the instant of UDP message packet Transmission rate;
When the network is in the idle state, i.e. 0 < L≤Wu, the instant transmission rate Rate of UDP message packetnowAre as follows:
RateNow=min{Ratenow+ β, Ratemax}; (3)
Network is in state under load at this time, and the value of β is determined by following formula:
I.e. the value range of β is [Ratemax× 20%, Ratemax× 40%].
When network is in congestion state, i.e. L >=Wl, the instant transmission rate Rate of UDP message packetnowAre as follows:
RateNow=max{Ratenow- γ, Ratemin}; (5)
Network is in congestion state at this time, and the value of γ is determined by following formula:
Preferably, the value of β and γ is dynamically determined according to the value of congestion level L.
(3) beneficial effect
The present invention calculates according to test serial number and message time stamp first and predicts the one way delay time of UDP message packet;So Congestion level is defined according to the extent of deviation at the receiving time interval of UDP message packet and transmission time interval difference afterwards.Congestion inspection Survey is completed by receiving end, and congestion control then passes through receiving end feedback information and completed by transmitting terminal;Finally, according to congestion level and Congestion judgment method, the adaptive parameter control method adjustment transmission rate using increasing with formula and with formula reduction.The present invention mentions Method out can predict UDP network congestion according to the Network status of one way link, while not will increase network burden, lead to net Network packet loss increases;This method calculates simply, has compressed the judgement interval time of congestion level to greatest extent, and using linear Function dynamic adjustment transmission rate, greatly the smooth adjustment of transmission rate, improves the utilization rate of Internet resources, reduces The packet loss of data packet.
Detailed description of the invention
Fig. 1 is method overview flow chart of the invention;
Fig. 2 is the flow chart that UDP congestion level is predicted in the present invention.
Specific embodiment
To keep the purpose of the present invention, content and advantage clearer, with reference to the accompanying drawings and examples, to of the invention Specific embodiment is described in further detail.
As shown in Figure 1, a kind of stabbed using test serial number and message time provided by the invention predicts UDP Congestion Level SPCC Method, comprising the following steps:
S1: the one way delay time of prediction UDP message packet
When carrying out network transmission based on udp protocol, time stamp when transmitting terminal is by the serial number and transmission of current message packet is made It is sent to receiving end for message content, after receiving end receives the message of transmitting terminal, is needed to transmitting terminal feedback reception confirmation message, Receiving includes test serial number and message time stamp in confirmation message, wherein the test serial number and transmitting terminal that receive in confirmation message are sent Test serial number it is identical, receive confirmation message in message time stamp be that receiving end receives the time stamp after message, UDP data packet One way delay time be equal to receiving end send receive confirmation message in message timestamp value and transmitting terminal send message in when The difference of timestamp value;
Whether after transmitting terminal receives the reception confirmation message of receiving end transmission, it is identical to compare two test serial numbers first, If not identical, show that this receives confirmation message and be not from the feedback for currently having sent message, then when not calculating one way delay Between;If they are the same, then the timestamp value that receiving end is fed back is subtracted to the timestamp value of transmitting terminal transmission, the one way for obtaining UDP message packet is prolonged When the time;
Since the situation of network congestion is dynamic change, the one way delay time of UDP message packet is also that dynamic becomes Change, the timestamp value that uncertainty is embodied in receiving end feedback is variation, utilizes the list of the (n+1)th packet of low-pass filter prediction Journey delay time are as follows:
Dn+1=Dn+α×(bn-Dn) (1)
Wherein, α (0 < α < 1) is modifying factor, DnIndicate the one way delay time of the n-th packet of prediction, bnIndicate current real The one way delay time of border measurement, according to the adjustable section b of αnTo DnInfluence.
In formula (1), D is enabled2=b1, i.e., the b that is obtained with actual measurement1When being worth the one way delay as the 2nd packet of prediction Between.
S2: judge UDP congestion level
In this step, according to the volatility forecast Congestion Level SPCC of the one way delay time of UDP message packet, UDP message packet is defined Receiving time interval and the difference of transmission time interval when reaching a certain level, show that congestion occurs for network.Adjacent two packet Receiving time interval and transmission time interval difference are bigger, show that congestion is more serious.According to the extent of deviation of time interval difference UDP congestion level is defined, and UDP congestion level is divided into idle, good and three kinds of congestion.
Specifically, enabling the transmission time stamp of the n-th packet voice is STn, the transmission time stamp of the (n+1)th packet voice is STn+1, the n-th packet The reception time stamp of message is RTn, the reception time stamp of the (n+1)th packet voice is RTn+1, according to the receiving time interval of UDP message packet and The extent of deviation of transmission time interval difference defines congestion level;
Enabling L is congestion level characterization value, and calculation method is as follows:
Wherein, STn+1-STnIndicate the transmission time interval of adjacent two packet, RTn+1-RTnIndicate the receiving time of adjacent two packet Interval, the value of L is bigger, shows that Congestion Level SPCC is higher;.
Predict that the flow chart of UDP congestion level is as shown in Figure 2.
Congestion level is divided into following grade according to L value:
Congestion level 1 2 3
Network state It is idle Well Congestion
The range of L 0 < L≤Wu Wu< L≤Wl L≥Wl
Wherein, WuIndicate upper limit value when network low-load state, WlIndicate lower limit value when network severe congestion state;
S3: transmission rate is adjusted according to congestion level and congestion judgment method
The opportunity that the present invention adjusts data package transmission velocity is to have judged congestion after having executed primary " transmission-reception " operation It is adjusted immediately after rank, has compressed the judgement interval time of congestion level to greatest extent.It is being passed to meet UDP message packet To the requirement of load flatness during defeated, using auto-adaptive parameter setting and formula increase and formula reduction rate control side Method.
Enabling UDP message packet transmission speed interval range is [Ratemin, Ratemax], wherein RateminIndicate UDP message packet Acceptable minimum transmission rate, RatemaxThe targeted rate for indicating UDP message packet, enables RatenowFor the instant of UDP message packet Transmission rate.
(1) when the network is in the idle state, i.e. 0 < L≤Wu, the instant transmission rate Rate of UDP message packetnowAre as follows:
RateNow=min{Ratenow+ β, Ratemax}; (3)
Network is in state under load at this time, and in order to quickly adequately utilize Internet resources, the value of β is determined by following formula:
I.e. the value range of β is [Ratemax× 20%, Ratemax× 40%].
(2) when network is in congestion state, i.e. L >=Wl, the instant transmission rate Rate of UDP message packetnowAre as follows:
Ratenow=max { Ratenow- γ, Ratemin}; (5)
Network is in congestion state at this time, and in order to realize that network load is smooth, the value of γ is determined by following formula:
β in above formula is and formula adds the factor, and γ is and formula subtracting coefficient, and the value of β and γ is according to the value dynamic of congestion level L It determines.
In this step, the adjustment to guarantee UDP transmission rate is more smooth, reduces jitter present in rate control, Using increasing with formula and adjusting transmission rate with the adaptive parameter control method of formula reduction, network congestion is effectively alleviated.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art For member, without departing from the technical principles of the invention, several improvement and deformations can also be made, these improvement and deformations Also it should be regarded as protection scope of the present invention.

Claims (7)

1. a kind of method using test serial number and message time stamp prediction UDP Congestion Level SPCC, which is characterized in that including following step It is rapid:
S1: the one way delay time of prediction UDP message packet;
S2: according to the volatility forecast Congestion Level SPCC of the one way delay time of UDP message packet, to judge UDP congestion level;
S3: transmission rate is adjusted according to congestion level and congestion judgment method.
2. the method as described in claim 1, which is characterized in that step S1Specifically:
When carrying out network transmission based on udp protocol, time stamp when transmitting terminal is using the serial number of current message packet and transmission is as report Literary content is sent to receiving end, after receiving end receives the message of transmitting terminal, to transmitting terminal feedback reception confirmation message, receives confirmation It include test serial number and message time stamp in message, wherein receiving the message sequence that test serial number and transmitting terminal in confirmation message are sent Number identical, receiving the message time stamp in confirmation message is that receiving end receives the time stamp after message, when the one way delay of UDP message packet Between be equal to receiving end send receive confirmation message in message timestamp value and transmitting terminal send message in difference of time stamp;
After transmitting terminal receives the reception confirmation message of receiving end transmission, whether identical, if not if comparing two test serial numbers first It is identical, show that this receives confirmation message and be not from the feedback for currently having sent message, does not then calculate one way delay time;If It is identical, then the timestamp value that receiving end is fed back is subtracted to the timestamp value of transmitting terminal transmission, when obtaining the one way delay of UDP message packet Between.
3. method according to claim 2, which is characterized in that when being delayed using the one way of the (n+1)th packet of low-pass filter prediction Between are as follows:
Dn+1=Dn+α×(bn-Dn) (1)
Wherein, α (0 < α < 1) is modifying factor, DnIndicate the one way delay time of the n-th packet of prediction, bnIndicate currently practical survey The one way delay time of amount, according to the adjustable section b of αnTo DnInfluence.
4. method as claimed in claim 3, which is characterized in that in formula (1), enable D2=b1, i.e., obtained with actual measurement b1It is worth the one way delay time of the 2nd packet as prediction.
5. method as claimed in claim 4, which is characterized in that step S2Specifically:
The transmission time stamp for enabling the n-th packet voice is STn, the transmission time stamp of the (n+1)th packet voice is STn+1, the reception time stamp of the n-th packet voice For RTn, the reception time stamp of the (n+1)th packet voice is RTn+1, poor according to the receiving time interval of UDP message packet and transmission time interval The extent of deviation of value defines congestion level;
Enabling L is congestion level characterization value, calculation method are as follows:
Wherein, STn+1-STnIndicate the transmission time interval of adjacent two packet, RTn+1-RTnBetween the receiving time for indicating adjacent two packet Every the value of L is bigger, shows that Congestion Level SPCC is higher;
The three grades being divided into congestion level according to L value in following table:
Congestion level 1 2 3 Network state It is idle Well Congestion The range of L 0 < L≤Wu Wu< L≤Wl L≥Wl
Wherein, WuIndicate upper limit value when network low-load state, WlIndicate lower limit value when network severe congestion state.
6. method as claimed in claim 5, which is characterized in that step S3Specifically:
Enabling UDP message packet transmission speed interval range is [Ratemin, Ratemax], wherein RateminIndicate that UDP message packet can connect The minimum transmission rate received, RatemaxThe targeted rate for indicating UDP message packet, enables RatenowFor the instant transmission of UDP message packet Rate;
When the network is in the idle state, i.e. 0 < L≤Wu, the instant transmission rate Rate of UDP message packetnowAre as follows:
RateNow=min{Ratenow+ β, Ratemax}; (3)
Network is in state under load at this time, and the value of β is determined by following formula:
I.e. the value range of β is [Ratemax× 20%, Ratemax× 40%].
When network is in congestion state, i.e. L >=Wl, the instant transmission rate Rate of UDP message packetnowAre as follows:
Ratenow=max { Ratenow- γ, Ratemin}; (5)
Network is in congestion state at this time, and the value of γ is determined by following formula:
7. method as claimed in claim 6, which is characterized in that the value of β and γ is dynamically determined according to the value of congestion level L.
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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109905326A (en) * 2019-03-26 2019-06-18 武汉大学 A kind of rate drawdown parameter optimization method based on the Congestion Level SPCC factor
CN110493658A (en) * 2019-08-20 2019-11-22 武汉兴图新科电子股份有限公司 A kind of network bandwidth method for detecting, equipment and storage equipment
CN111245675A (en) * 2020-01-06 2020-06-05 杭州涂鸦信息技术有限公司 Network delay and lost data packet detection method and system
CN112787881A (en) * 2019-11-11 2021-05-11 中兴通讯股份有限公司 Communication link detection method, communication device, and storage medium
CN112822117A (en) * 2021-01-07 2021-05-18 厦门亿联网络技术股份有限公司 Congestion detection method and device for real-time streaming media transmission
CN113132256A (en) * 2019-12-30 2021-07-16 深圳Tcl新技术有限公司 Data transmission method, terminal and storage medium
WO2023179190A1 (en) * 2022-03-22 2023-09-28 腾讯科技(深圳)有限公司 Data processing method and apparatus in frame synchronization game, and computer device

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102711172A (en) * 2012-05-25 2012-10-03 浙江工业大学 Modified TCPW congestion control method in wireless network
CN104579582A (en) * 2015-02-05 2015-04-29 成都金本华科技股份有限公司 High-quality voice transmission method based on communication network
CN104618258A (en) * 2015-02-05 2015-05-13 成都金本华科技股份有限公司 Control method of data transmission rate
US9455915B2 (en) * 2013-12-12 2016-09-27 Broadcom Corporation Hierarchical congestion control with congested flow identification hardware

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102711172A (en) * 2012-05-25 2012-10-03 浙江工业大学 Modified TCPW congestion control method in wireless network
US9455915B2 (en) * 2013-12-12 2016-09-27 Broadcom Corporation Hierarchical congestion control with congested flow identification hardware
CN104579582A (en) * 2015-02-05 2015-04-29 成都金本华科技股份有限公司 High-quality voice transmission method based on communication network
CN104618258A (en) * 2015-02-05 2015-05-13 成都金本华科技股份有限公司 Control method of data transmission rate

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
李力: "基于单向时延的自适应拥塞控制的研究", 《计算机工程》 *
郭翠娟: "具有拥塞控制机制的可靠UDP的实现", 《小型微型计算机系统》 *
黎敏: "基于延迟抖动的流媒体传输QoS机制", 《南昌大学学报》 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109905326A (en) * 2019-03-26 2019-06-18 武汉大学 A kind of rate drawdown parameter optimization method based on the Congestion Level SPCC factor
CN110493658A (en) * 2019-08-20 2019-11-22 武汉兴图新科电子股份有限公司 A kind of network bandwidth method for detecting, equipment and storage equipment
CN112787881A (en) * 2019-11-11 2021-05-11 中兴通讯股份有限公司 Communication link detection method, communication device, and storage medium
CN113132256A (en) * 2019-12-30 2021-07-16 深圳Tcl新技术有限公司 Data transmission method, terminal and storage medium
CN111245675A (en) * 2020-01-06 2020-06-05 杭州涂鸦信息技术有限公司 Network delay and lost data packet detection method and system
CN112822117A (en) * 2021-01-07 2021-05-18 厦门亿联网络技术股份有限公司 Congestion detection method and device for real-time streaming media transmission
WO2023179190A1 (en) * 2022-03-22 2023-09-28 腾讯科技(深圳)有限公司 Data processing method and apparatus in frame synchronization game, and computer device

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