CN106992939B - Dynamic learning system and method for QoS flow control threshold of satellite IP network - Google Patents
Dynamic learning system and method for QoS flow control threshold of satellite IP network Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
- H04L47/2441—Traffic characterised by specific attributes, e.g. priority or QoS relying on flow classification, e.g. using integrated services [IntServ]
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/32—Flow control; Congestion control by discarding or delaying data units, e.g. packets or frames
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/50—Queue scheduling
- H04L47/62—Queue scheduling characterised by scheduling criteria
- H04L47/6215—Individual queue per QOS, rate or priority
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Abstract
The invention belongs to the technical field of communication, and particularly relates to a dynamic learning system for a QoS (quality of service) flow control threshold of a satellite IP network, which comprises a Qos flow control module, a flow control threshold dynamic learning module and a physical layer, wherein the Qos flow control module comprises a first data receiver, a flow control threshold unit and a first data transmitter, the flow control threshold dynamic learning module comprises a second data receiver, a data analysis processor and a second data transmitter, the input end of the first data receiver comprises a first input end and a second input end, the output end of the first data transmitter comprises a first output end and a second output end, the first input end is an external input end, the output end of the first data receiver is in communication connection with the input end of the flow control threshold unit, the output end of the flow control threshold unit is in communication connection with the input end of the first data transmitter, the second output end of the first data transmitter is in communication connection with the signal access end of the physical layer, and the system fully utilizes broadband resources and avoids IP messages from being randomly discarded.
Description
Technical Field
The invention belongs to the technical field of communication, and particularly relates to a dynamic learning system and method for a QoS flow control threshold of a satellite IP network.
Background
Satellite communication systems are evolving towards constructing and using IP protocols as cores, to achieve interworking with terrestrial networks. In order to meet the transmission requirements of various services, IP services are becoming a major application of current satellite communication systems. By default, IP packets are forwarded "best effort", i.e. when the network is overloaded or congested, it is not ensured that important traffic data traffic is not delayed or discarded. In order to break through the unreliable service problem caused by the forwarding principle of the "best effort" of the IP packet, the QoS technology has been widely applied in the satellite communication field, and the manufacturers of satellite modems have almost built QoS modules.
The QoS module needs a flow control threshold when scheduling the message transmission to determine the overall rate of the message transmission, which is the exit bandwidth of the satellite channel for the satellite modem. If the flow control threshold set by the QoS module is higher than the actual value, the important message is randomly discarded, and the QoS effect is not achieved; otherwise, if the bandwidth is lower than the actual value, bandwidth resources cannot be fully utilized, so that bandwidth waste is caused.
When the QoS module sends a message, statistics of the sending rate is based on the length of the IP message. When an IP message is sent from the physical layer, some header information is added to accommodate transmission over the satellite channel. Thus, if the QoS module sends the IP packets directly at the physical layer rate, the actual information rate transmitted on the physical layer is greater than the rate counted by the QoS module, and since the physical layer does not accommodate so much data, the IP packets Wen Jiuhui to be transmitted are discarded randomly, including important IP packets.
Disclosure of Invention
Based on the problems mentioned in the background art, the invention provides a dynamic learning system and a method for QoS flow control threshold of a satellite IP network, which have the advantages of fully utilizing broadband resources and avoiding random discarding of IP messages.
In order to achieve the technical purpose, the invention adopts the following technical scheme:
a dynamic learning system for QoS flow control threshold of satellite IP network is characterized in that: the Qos flow control module comprises a first data receiver, a flow control threshold unit and a first data transmitter, wherein the flow control threshold dynamic learning module comprises a second data receiver, a data analysis processor and a second data transmitter, the input end of the first data receiver comprises a first input end and a second input end, the output end of the first data transmitter comprises a first output end and a second output end, the first input end is an external input end, the output end of the first data receiver is in communication connection with the input end of the flow control threshold unit, the output end of the flow control threshold unit is in communication connection with the input end of the first data transmitter, the second output end of the first data transmitter is in communication connection with the signal input end of the physical layer, the first output end of the first data transmitter is in communication connection with the signal input end of the second data receiver, the signal output end of the second data receiver is in communication connection with the signal input end of the data analysis processor, and the output end of the data analysis processor is in communication connection with the signal input end of the second data receiver, and the flow control threshold unit is in communication connection with the output end of the flow control threshold unit.
The invention adopting the technical scheme includes that the flow control threshold unit receives data through a first input end of a first data receiver, then prioritizes, queues and limits speed of the data, then sends the data signal to a second data receiver through a first data transmitter, the second data receiver sends the data signal to a flow control threshold dynamic learning module, the flow control threshold dynamic learning module processes and calculates a maximum threshold value for data information, then sends a processing result to the first data receiver through the second data transmitter, the first data receiver receives a feedback signal through a second input end, and the flow control threshold unit adjusts the threshold value after receiving the feedback signal, so that the purposes of fully utilizing broadband resources and avoiding the random discarding of an IP message are achieved.
Further limited, the data analysis processor includes data analysis arithmetic unit, data analysis controller and analysis data storage, the signal input part of data analysis controller connects second data receiver signal output part, the signal output part of data analysis controller connects the control end of data analysis arithmetic unit, the output part of data analysis arithmetic unit connects the input part of analysis data storage, the signal output part of data storage connects the signal input part of second data transmitter, such design is convenient for control data further to and can be to analysis data temporary storage, makes the retrieval of data and understand the flow control state through the record threshold value of being convenient for when required.
Further defined, the flow control threshold unit comprises an input buffer, a signal input end of the input buffer is connected with an output end of the first data receiver, and a signal output end of the input buffer is connected with a signal input end of the flow control gate unit.
Further, an output buffer is arranged between the first output end of the first data transmitter and the physical layer, so that the output data is prevented from being lost when an emergency occurs.
The dynamic learning method of the QoS flow control threshold of the satellite IP network is used for calculating the maximum value of the flow control threshold, and the flow control threshold module changes the flow control threshold value according to the calculated value, and comprises the following steps:
dividing a range into N sections;
step two, obtaining the message length, namely obtaining the IP message length to be sent to a satellite channel, wherein the message is processed by a QoS flow control module;
step three, periodically judging that the IP message is classified into corresponding intervals according to the length, and the total number of messages in the counting period and the total number of messages in the interval are respectively increased by 1, C t ＝C t +1，C j ＝C j +1, where C j Is the number of messages in the interval j C (C) t Counting the total number of messages in the period, judging whether the period is finished or not, if not, returning to the step one, and continuously acquiring the messages; if the period is over, continuing to step four;
step four, calculating the average length, and calculating the average length of the messages in the statistical period according to the step three
Step five, calculating a threshold, and calculating the maximum value of the flow control threshold according to the steps
Step six, information feedback, the flow control threshold dynamic learning module feeds back the maximum valueFeeding back to the flow control threshold unit, wherein the flow control threshold unit is used for controlling the flow control threshold unit according to the maximum value +.>And regulating the flow control threshold value.
Further defined, the method of dividing the middle area in the first step is as follows,
S j ＝(j*ΔL+1,(j+1)*ΔL]where j=0, 1,2, …, N-1.
Further, the value of Δl in the first step is customized by specific implementation and may be 10 or 20.
Further, the period in the third step may use time as the period, or may use the total number of messages as the period, and the time and the number of messages are simultaneously used as the judgment basis for counting the period.
Further defined, in the fourth stepThe average length of (a) is calculated by,wherein the method comprises the steps of
Further defined, the maximum value in step fiveThe calculation method is that,
the B is phy Bandwidth calculated for physical layer, L PhyHeader The header length of the IP packet is encapsulated for the physical layer.
The invention adopting the method, the flow control threshold dynamic learning module receives the data signal of the flow control threshold unit, then carries out statistics arrangement on the data signal, does not lose packets and limit the speed, calculates the maximum threshold value of the received data according to the result of the statistics arrangement, and the flow control threshold unit adjusts according to the maximum value of the calculated position.
Drawings
The invention can be further illustrated by means of non-limiting examples given in the accompanying drawings;
FIG. 1 is a schematic workflow diagram of a dynamic learning module for a flow control threshold in an embodiment of a dynamic learning method for a QoS flow control threshold of a satellite IP network;
fig. 2 is a flow chart of an embodiment of a dynamic learning system for QoS flow control threshold of a satellite IP network according to the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, the following technical scheme of the present invention will be further described with reference to the accompanying drawings and examples.
As shown in fig. 1 and fig. 2, a dynamic learning system for QoS flow control threshold of a satellite IP network is characterized in that: the Qos flow control module comprises a first data receiver, a flow control threshold unit and a first data transmitter, wherein the flow control threshold dynamic learning module comprises a second data receiver, a data analysis processor and a second data transmitter, the input end of the first data receiver comprises a first input end and a second input end, the output end of the first data transmitter comprises a first output end and a second output end, the first input end is an external input end, the output end of the first data receiver is in communication connection with the input end of the flow control threshold unit, the output end of the flow control threshold unit is in communication connection with the input end of the first data transmitter, the second output end of the first data transmitter is in communication connection with the signal input end of the physical layer, the first output end of the first data transmitter is in communication connection with the signal input end of the second data receiver, the signal output end of the second data receiver is in communication connection with the signal input end of the data processor, the output end of the data processor is in communication connection with the input end of the second data transmitter, and the output end of the second data transmitter is in communication connection with the flow control threshold analysis controller.
Preferably, the data analysis processor comprises a data analysis arithmetic unit, a data analysis controller and an analysis data storage, wherein a signal input end of the data analysis controller is connected with a signal output end of the second data receiver, a signal output end of the data analysis controller is connected with a control end of the data analysis arithmetic unit, an output end of the data analysis arithmetic unit is connected with an input end of the analysis data storage, and a signal output end of the data storage is connected with a signal input end of the second data transmitter. In practice, other configurations of the data parsing processor may be considered as the case may be.
Preferably, the flow control threshold unit comprises an input buffer, a signal input end of the input buffer is connected with an output end of the first data receiver, and a signal output end of the input buffer is connected with a signal input end of the flow control gate unit. Indeed, other schemes for avoiding loss of input data may be considered as the case may be.
Preferably, an output buffer is installed between the first output end of the first data transmitter and the physical layer, so that the problem that output data is lost when an emergency occurs is avoided, and other schemes for avoiding the loss of the output data can be considered according to specific situations.
Preferably, the Qos flow control module and the flow control threshold dynamic learning module are electrically connected with the storage battery, so that the influence of the sudden power failure on the Qos flow control module and the flow control threshold dynamic learning module is avoided. Indeed, specific considerations may apply.
A dynamic learning method for QoS flow control threshold of satellite IP network is used for calculating the maximum value of flow control threshold, and the flow control threshold module changes the flow control threshold value according to the calculated value, comprising the following steps:
step one, dividing a range of 1-1500Bytes into sectionsEach interval; respectively is
S j ＝(j*ΔL+1,(j+1)*ΔL]，
Where j=0, 1,2, …, N-1; the value of DeltaL is 10;
step two, obtaining the message length, namely obtaining the IP message length to be sent to a satellite channel, wherein the message is processed by the QoS flow control module;
step three, period judgment, classifying the IP messages according to the length into corresponding intervals, and increasing the total number of the messages in the statistical period and the total number of the messages in the intervals by 1, C respectively t ＝C t +1，C j ＝C j +1, where C j C being messages within interval j t Counting the total number of messages in the period, judging whether the period is finished or not, if the period is not finished, returning to the step one, continuing to acquire the messages, if the period is finished, continuing to the step four, and defining one hour as one period;
step four, calculating the average length, and calculating the average length of the messages in the statistical period according to the step three
The length calculation method is that,wherein->
Step five, calculating a threshold, and calculating the maximum value of the flow control threshold according to the steps
The calculation method is that,B phy bandwidth calculated for physical layer, L PhyHeader The header length of the IP message is encapsulated for the physical layer;
step six, information feedback, the flow control threshold dynamic learning module feeds back the maximum valueFeeding back to the flow control threshold unit, wherein the flow control threshold unit is used for controlling the flow control threshold unit according to the maximum value +.>And regulating the flow control threshold value.
The invention adopting the method receives data through the first input end of the first data receiver, then prioritizes, queues and limits the data, then sends the data signal to the second data receiver through the first data transmitter, the second data receiver sends the data signal to the flow control threshold dynamic learning module, the flow control threshold dynamic learning module processes the data information to calculate the maximum threshold value, then sends the processing result to the first data receiver through the second data transmitter, the first data receiver receives the feedback signal through the second input end, the flow control threshold unit adjusts the threshold value after receiving the feedback signal, the flow control threshold dynamic learning module receives the data signal of the flow control threshold unit, then carries out statistical arrangement on the data signal, does not lose packets, does not limit the speed, calculates the maximum threshold value of the received data according to the result of statistical arrangement, and the flow control threshold unit adjusts according to the maximum value at the calculation position.
The dynamic learning system for the QoS flow control threshold of the satellite IP network is described in detail. The description of the specific embodiments is only intended to aid in understanding the method of the present invention and its core ideas. It should be noted that it will be apparent to those skilled in the art that various modifications and adaptations of the invention can be made without departing from the principles of the invention and these modifications and adaptations are intended to be within the scope of the invention as defined in the following claims.
Claims (9)
1. A dynamic learning system for QoS flow control threshold of satellite IP network is characterized in that: the Qos flow control module comprises a first data receiver, a flow control threshold unit and a first data transmitter, wherein the flow control threshold dynamic learning module comprises a second data receiver, a data analysis processor and a second data transmitter, the input end of the first data receiver comprises a first input end and a second input end, the output end of the first data transmitter comprises a first output end and a second output end, the first input end is an external input end, the output end of the first data receiver is in communication connection with the input end of the flow control threshold unit, the output end of the flow control threshold unit is in communication connection with the input end of the first data transmitter, the second output end of the first data transmitter is in communication connection with the signal input end of the physical layer, the first output end of the first data transmitter is in communication connection with the signal input end of the second data receiver, the signal output end of the second data receiver is in communication connection with the signal input end of the data analysis processor, and the output end of the data analysis processor is in communication connection with the output end of the second data transmitter;
the flow control threshold module changes the flow control threshold value according to the calculated value, and comprises the following steps:
dividing a range into N sections; respectively is
Sj＝[j*ΔL+1,(j+1)*ΔL]，
Where j=0, 1,2, …, N-1;
step two, obtaining the message length, namely obtaining the IP message length to be sent to a satellite channel, wherein the message is processed by a QoS flow control module;
step three, periodically judging that the IP message is classified into corresponding intervals according to the length, and
respectively increasing the total number of messages in the statistical period and the total number of messages in the interval by 1, wherein Ct= C t +1, cj=cj+1, cj is the number of messages in the interval j, C t is the number of messages in the statistical period Wen Zong, and judging whether the period is over or not, if the period is not over, returning to the step one, and continuing to acquire the messages; if the period is over, continuing to step four;
step four, calculating the average length, and calculating the average length of the messages in the statistical period according to the step three
Step five, calculating a threshold, and calculating the maximum value of the flow control threshold according to the steps
And step six, information feedback, wherein the maximum value is fed back to the flow control threshold unit by the flow control threshold dynamic learning module, and the flow control threshold unit adjusts the flow control threshold value according to the maximum value.
2. The dynamic learning system for QoS flow control threshold of a satellite IP network according to claim 1, wherein: the data analysis processor comprises a data analysis arithmetic unit, a data analysis controller and an analysis data storage, wherein the signal input end of the data analysis controller is connected with the signal output end of the second data receiver, the signal output end of the data analysis controller is connected with the control end of the data analysis arithmetic unit, the output end of the data analysis arithmetic unit is connected with the input end of the analysis data storage, and the signal output end of the data storage is connected with the signal input end of the second data transmitter.
3. The dynamic learning system for QoS flow control threshold of a satellite IP network according to claim 2, wherein: the flow control threshold unit comprises an input buffer, wherein the signal input end of the input buffer is connected with the output end of the first data receiver, and the signal output end of the input buffer is connected with the signal input end of the flow control gate unit.
4. A satellite IP network QoS flow control threshold dynamic learning system according to claim 3, wherein: an output buffer is arranged between the first output end of the first data transmitter and the physical layer.
5. The dynamic learning system for QoS flow control threshold of a satellite IP network according to claim 1, wherein: the method of dividing the middle area in the first step is as follows,
s j = [ j+Δl+1, (j+1) ×Δl ], where j=0, 1,2, …, N-1.
6. The dynamic learning system for QoS flow control threshold of a satellite IP network according to claim 5, wherein: ΔL is 10 or 20.
7. The dynamic learning system for QoS flow control threshold of a satellite IP network according to claim 6, wherein: in the third step, the period can adopt time as the period, or the total number of messages as the period, and the time and the number of messages are simultaneously used as the judgment basis for counting the period.
8. A satellite IP network QoS flow control threshold dynamic learning method, performed by the satellite IP network QoS flow control threshold dynamic learning system of claim 7, characterized in that: the average length calculation method in the fourth step is that,
wherein->
9. The method for dynamically learning the QoS flow control threshold of the satellite IP network according to claim 8, wherein: the maximum value in the fifth stepThe calculation method is that->And the Bphy is the bandwidth calculated by the physical layer, and the LPhyHeader is the header length of the IP message packaged by the physical layer.
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