CN107276850B - A method and system for unified interface testing and concurrent transmission of electricity information acquisition system - Google Patents

Abstract

The invention discloses a method for testing concurrent transmission through a unified interface of an electricity information collection system, comprising: taking the sum of the data transmission request amount to be sent and the transmission data amount of the previous cycle as the data request amount to be transmitted in the current cycle; Calculate the load estimation value according to the data request amount to be transmitted and the maximum transmission amount of the transmission path; calculate the available bandwidth and the congestion degree respectively according to the feedback information of the data request of the transmission data amount of the current cycle; according to the available bandwidth, the congestion degree and the load estimation The value dynamically adjusts the amount of data transmission requests to be sent in the next cycle according to the adjustment strategy; optimizes and adjusts the segmentation threshold of the load factor based on dynamic programming. The beneficial effects of the invention are as follows: in the adjustment of the data transmission request volume, the test terminal executes different strategies according to the network parameters fed back by the transmission, and realizes the dynamic adjustment of the key segment threshold of the data transmission request volume based on the optimal control algorithm, which ensures the test Efficiency of data parallel processing.

Description

A method and system for unified interface testing and concurrent transmission of electricity information acquisition system

technical field

The invention relates to the field of electricity consumption information collection, and more particularly, to a method and system for simultaneous transmission of unified interface testing of electricity consumption information collection system.

Background technique

With the promotion and application of smart energy meters and the rapid advancement of the construction of the electricity consumption information collection system, the level of intensive marketing measurement and lean management has been greatly improved, and the electricity consumption information collection system has fully entered the stage of deepening application. As of August 2016 , the system has provided business and data support for many application systems such as marketing, safety and quality, transportation inspection, transportation supervision, policy issuance, information, etc., involving 16 national network unified business application systems and dozens of provincial companies' self-built business applications System, in order to realize the application of ensuring efficient data interaction, the power consumption information acquisition system is committed to building an efficient automatic test system. Due to the low efficiency of the interface interaction method based on webservice in the face of massive data interaction, it is urgent to develop an efficient system. Data transfer policy.

Traditional data transmission improvements often use a fixed mode to send data requests. However, there may be various interferences in the transmission channel, such as high-frequency electromagnetic interference, transmission line breaks, and communication congestion, which lead to errors in the data transmitted by the interface. and loss; since the service provided at the lowest level of the computer communication network is unreliable packet transmission, data packets may be lost, delayed, duplicated, and Out-of-order, affects the efficiency and reliability of data transmission and processing; and the webservice interface platform as the data transmission end puts forward higher requirements for network load balancing. When the traditional data transmission method faces the above problems, its data transmission performance will be greatly reduced.

Therefore, there is an urgent need to develop a data transmission method based on feedback information and adaptive to changes in the network transmission environment.

SUMMARY OF THE INVENTION

The present invention provides a method and a system for testing concurrent transmission with a unified interface of an electricity information collection system, which solves the problem of low data transmission performance.

In order to solve the above problems, according to one aspect of the present invention, a method for testing concurrent transmission through a unified interface of an electricity information collection system is provided, and the method includes:

Take the sum of the amount of data transmission requests to be sent and the amount of transmission data in the previous cycle as the amount of data requests to be transmitted in the current cycle;

Calculate the load estimation value according to the request amount of the data to be transmitted and the maximum transmission amount of the transmission path;

Calculate the available bandwidth and the congestion degree respectively according to the feedback information of the data request of the transmission data volume of the current period, wherein the feedback information includes: the data request response rate and the data transmission request information;

According to the available bandwidth, the congestion degree and the estimated load value, adaptively and dynamically adjust the amount of data transmission requests to be sent in the next cycle according to the adjustment strategy;

The segmentation threshold of the load factor is optimized and adjusted based on dynamic programming.

Preferably, the calculation method of the load estimation value is:

为单位时间内测试方的平均请求队列数，即平均数据传输请求数；k_q为队列积压的释放率；ξ为传输路径的利用率，C为传输通道的瓶颈带宽。Among them, ρ is the estimated load value; λ is the amount of data received by the test terminal per time interval t _ρ ;

is the average number of request queues of the test party in unit time, that is, the average number of data transmission requests; k _q is the release rate of the queue backlog; ξ is the utilization rate of the transmission path, and C is the bottleneck bandwidth of the transmission channel.

Preferably, the calculation method of the available bandwidth is:

Among them, B _n is the estimated available bandwidth when the transmission of the nth data request is completed at time tn; _{tn -1} is the time when the data transmission of the n-1th data transmission request is completed; _Ln is the nth data transmission request The amount of data transmitted; RTT is the end-to-end delay estimate of the data transmission request at time t _n , which is determined by the end-to-end round-trip time of the nth data transmission request; π _n is the scale factor.

Preferably, the calculation method of the scale factor is:

Among them, D _tra(n-1) represents the n-1 th data transmission request amount, and P is the size of the data transmission request.

Preferably, the calculation method of the congestion degree is:

Among them, g is the weighting factor, and the value range of g is (0, 1); F is the completion ratio of data transmission requests returned in the previous time interval t _ρ , and α is the retransmission of data transmission requests sent within the previous time interval t _ρ The maximum number of times, M is the amount of data transmission requests completed by the tester in the last time interval _tρ , and T is the amount of data transmission requests sent by the tester in the last time interval _tρ .

Preferably, the calculation method of the data transmission request completion ratio F is:

Preferably, the adaptive and dynamic adjustment of the amount of data transmission requests to be sent in the next cycle according to the available bandwidth, the congestion degree and the load estimation value according to the adjustment strategy, includes:

If the estimated load value is less than the threshold of the load factor, the test terminal adopts the "quick start" strategy to rapidly increase the amount of data transmission requests; the calculation method for rapidly increasing the amount of data transmission requests is as follows:

Wherein, D _tra is the data transmission request amount, α is the growth factor of the data transmission request amount, and RTT _min is the minimum RTT value observed by the test terminal;

If the estimated load value is greater than the load factor threshold and less than or equal to the asynchronous feedback threshold, the test terminal adopts the "smooth growth" strategy to increase the amount of data transmission requests; the calculation method for increasing the amount of data transmission requests is:

If the estimated load value is greater than the asynchronous feedback threshold and less than or equal to 1, the test terminal adopts the "linear growth" strategy to increase the amount of data transmission requests; wherein, the calculation method for increasing the amount of data transmission requests is:

D _tra ← D _tra +1;

If the estimated load value is greater than 1, the test terminal adopts the "regressive sending" strategy to reduce the amount of data transmission requests, and balances the speed of convergence to fairness and the utilization of transmission paths; wherein, the calculation method for reducing the amount of data transmission requests is:

D _tra ← D _tra γ,

Among them, γ is the reduction ratio of the data transmission request amount.

Preferably, the method for optimally adjusting the segmentation threshold of the load factor based on dynamic programming includes:

Step (1): Initialize the adjustment parameters, wherein the adjustment parameters include: the number of iterations k, the return upper limit n, and the load factor threshold range

Step (2): adjust the request amount of data transmission in real time according to the dynamic mechanism of the adjustment strategy, and perform traversal assignment to the data within the load factor threshold range, wherein the method for traversal assignment to the data within the load factor threshold range is:

记录历次

时间段内所发送的数据传输请求为

测试端完成接收数据传输请求

的时间

及接收数据量

Among them, the traversal threshold

record

The data transfer request sent in the time period is

The test end completes receiving the data transmission request

time

and the amount of data received

的测试端数据接收速率以及接收速率均值，其中，接收速率的计算公式为：Step (3): Calculate previous thresholds

The data receiving rate and the average receiving rate of the test terminal, where the calculation formula of the receiving rate is:

The formula for calculating the average receive rate is:

时，

为在本次数据传输过程中，测试端在负载因子为

内的完成接收数据传输请求的时间；

为在此过程中的接收数据量；

为负载因子阈值取

时的测试端数据接收速率。Among them, V is the acceptance rate of data transmission at the test end, R is the amount of data received by the test end, t is the time for the test end to complete the data transmission request, and V _k is the average receiving rate; when the load factor threshold is taken as

hour,

In this data transmission process, the load factor of the test terminal is

within the time to complete the received data transfer request;

is the amount of data received during this process;

Take for the load factor threshold

The data receiving rate of the test terminal at the time.

Step (4): compare the difference between the mean value of the reception rate before and after the two times with the data reception rate growth threshold of the test terminal,

的对应阈值

归为集合ρ^k内，将集合ρ^k内最大值赋值给ρ_max，最小值赋值给ρ_min，k＝k+1，n置0，并返回步骤(2)；If (V ^k -V ^k-1 )>ε>0, then

The corresponding threshold of

In the set ρ ^k , the maximum value in the set ρ ^k is assigned to ρ _max , the minimum value is assigned to ρ _min , k=k+1, n is set to 0, and returns to step (2);

记为V_max，其所对应的阈值

赋值给ρ_l，k＝k+1，以阈值ρ_l进行数据动态传输，

n置0，若V^k≥V_max，重新进入此步骤；若V^k＜V_max，进入步骤(2)；If 0<(V ^k -V ^k-1 )<ε, select the maximum value of this iteration

Denoted as V _max , the corresponding threshold

is assigned to ρ _l , k=k+1, and dynamic data transmission is performed with the threshold ρ _l ,

n is set to 0, if V ^k ≥V _max , enter this step again; if V ^k <V _max , enter step (2);

If (V ^k -V ^k-1 )<0 and n≤3, then k=k-1, the maximum value in the set ρ ^k of the k-th iteration is assigned to ρ _max , and the minimum value is assigned to ρ _min , n= n+1, and return to step (2);

If (V ^k -V ^k-1 )<0 and n>3, return to step (1), and the optimal threshold ρ _l is optimized in real time according to the network transmission state until the data transmission is completed.

According to another aspect of the present invention, a unified interface testing concurrent transmission system for a power consumption information collection system is provided. The system includes: a data request amount calculation unit to be transmitted, a load estimation value calculation unit, an available bandwidth and a congestion degree calculation unit , the data transmission request amount adjustment unit of the next cycle and the segmentation threshold adjustment unit of the load factor,

The data request amount calculation unit to be transmitted is used for taking the sum of the data transmission request amount to be sent and the transmission data amount of the previous cycle as the data request amount to be transmitted in the current cycle;

the load estimation value calculation unit, configured to calculate the load estimation value according to the request amount of the data to be transmitted and the maximum transmission amount of the transmission path;

The available bandwidth and congestion degree calculation unit is used to calculate the available bandwidth and the congestion degree respectively according to the feedback information of the data request of the transmission data volume of the current cycle, wherein the feedback information includes: data request response rate and data transmission request information;

The data transmission request amount adjustment unit in the next cycle is configured to adaptively dynamically adjust the data transmission request amount to be sent in the next cycle according to the available bandwidth, the congestion degree and the estimated load value according to the adjustment strategy;

The segment threshold adjustment unit of the load factor is configured to optimize and adjust the segment threshold of the load factor based on dynamic programming.

Preferably, wherein the load estimate is calculated by:

为单位时间内测试方的平均请求队列数，即平均数据传输请求数；k_q为队列积压的释放率；ξ为传输路径的利用率，C为传输通道的瓶颈带宽。Among them, ρ is the estimated load value; λ is the amount of data received by the test terminal per time interval t _ρ ;

is the average number of request queues of the test party in unit time, that is, the average number of data transmission requests; k _q is the release rate of the queue backlog; ξ is the utilization rate of the transmission path, and C is the bottleneck bandwidth of the transmission channel.

Preferably, wherein the available bandwidth is calculated by:

Among them, B _n is the estimated available bandwidth when the transmission of the nth data request is completed at time tn; _{tn -1} is the time when the data transmission of the n-1th data transmission request is completed; _Ln is the nth data transmission request The amount of data transmitted; RTT is the end-to-end delay estimate of the data transmission request at time t _n , which is determined by the end-to-end round-trip time of the nth data transmission request; π _n is the scale factor.

Preferably, wherein the scaling factor is calculated by:

Among them, D _tra(n-1) represents the n-1 th data transmission request amount, and P is the size of the data transmission request.

Preferably, wherein the congestion degree is calculated by:

Among them, g is the weighting factor, and the value range of g is (0, 1); F is the completion ratio of data transmission requests returned in the previous time interval t _ρ , and α is the retransmission of data transmission requests sent within the previous time interval t _ρ The maximum number of times, M is the amount of data transmission requests completed by the tester in the last time interval _tρ , and T is the amount of data transmission requests sent by the tester in the last time interval _tρ .

Preferably, the data transmission request completion ratio F is calculated in the following manner:

Preferably, the unit for adjusting the amount of data transmission requests in the next cycle is specifically used for:

If the estimated load value is less than the threshold of the load factor, the test terminal adopts the "quick start" strategy to rapidly increase the amount of data transmission requests. The rapid increase in the amount of data transmission requests is calculated in the following ways:

Wherein, D _tra is the data transmission request amount, α is the growth factor of the data transmission request amount, and RTT _min is the minimum RTT value observed by the test terminal;

If the estimated load value is greater than the load factor threshold and less than or equal to the asynchronous feedback threshold, the test terminal adopts the "smooth growth" strategy to increase the amount of data transmission requests. The increase in the amount of data transmission requests is calculated in the following ways:

If the estimated load value is greater than the asynchronous feedback threshold and less than or equal to 1, the test terminal adopts the "linear growth" strategy to increase the amount of data transmission requests; wherein, the increase in the amount of data transmission requests is calculated in the following manner:

D _tra ← D _tra +1;

If the estimated load value is greater than 1, the test terminal adopts the "regressive sending" strategy to reduce the amount of data transmission requests, and balances the speed of convergence to fairness and the utilization of transmission paths; wherein, the reduction in the amount of data transmission requests is calculated in the following way:

D _tra ← D _tra γ,

Among them, γ is the reduction ratio of the data transmission request amount.

Preferably, the segmented threshold adjustment unit of the load factor is specifically used for:

Step (1): Initialize the adjustment parameters, wherein the adjustment parameters include: the number of iterations k, the return upper limit n, and the load factor threshold range

Step (2): adjust the request amount of data transmission in real time according to the dynamic mechanism of the adjustment strategy, and perform traversal assignment to the data within the load factor threshold range, wherein the method for traversal assignment to the data within the load factor threshold range is:

记录历次

时间段内所发送的数据传输请求为

测试端完成接收数据传输请求

的时间

及接收数据量

Among them, the traversal threshold

record

The data transfer request sent in the time period is

The test end completes receiving the data transmission request

time

and the amount of data received

的测试端数据接收速率以及接收速率均值，其中，接收速率的计算公式为：Step (3): Calculate previous thresholds

The data receiving rate and the average receiving rate of the test terminal, where the calculation formula of the receiving rate is:

The formula for calculating the average receive rate is:

时，

为在本次数据传输过程中，测试端在负载因子为

内的完成接收数据传输请求的时间；

为在此过程中的接收数据量；

为负载因子阈值取

时的测试端数据接收速率。Among them, V is the acceptance rate of data transmission at the test end, R is the amount of data received by the test end, t is the time for the test end to complete the data transmission request, and V _k is the average receiving rate; when the load factor threshold is taken as

hour,

In this data transmission process, the load factor of the test terminal is

within the time to complete the received data transfer request;

is the amount of data received during this process;

Take for the load factor threshold

The data receiving rate of the test terminal at the time.

Step (4): compare the difference between the mean value of the reception rate before and after the two times with the data reception rate growth threshold of the test terminal,

的对应阈值

归为集合ρ^k内，将集合ρ^k内最大值赋值给ρ_max，最小值赋值给ρ_min，k＝k+1，n置0，并返回步骤(2)；If (V ^k -V ^k-1 )>ε>0, then

The corresponding threshold of

In the set ρ ^k , the maximum value in the set ρ ^k is assigned to ρ _max , the minimum value is assigned to ρ _min , k=k+1, n is set to 0, and returns to step (2);

记为V_max，其所对应的阈值

赋值给ρ_l，k＝k+1，以阈值ρ_l进行数据动态传输，n置0，若V^k≥V_max，重新进入此步骤；若V^k＜V_max，进入步骤(2)；If 0<(V ^k -V ^k-1 )<ε, select the maximum value of this iteration

Denoted as V _max , the corresponding threshold

is assigned to ρ _l , k=k+1, and dynamic data transmission is performed with the threshold ρ _l , n is set to 0, if V ^k ≥V _max , enter this step again; if V ^k <V _max , enter step (2);

If (V ^k -V ^k-1 )<0 and n≤3, then k=k-1, the maximum value in the set ρ ^k of the k-th iteration is assigned to ρ _max , and the minimum value is assigned to ρ _min , n= n+1, and return to step (2);

If (V ^k -V ^k-1 )<0 and n>3, return to step (1), and the optimal threshold ρ _l is optimized in real time according to the network transmission state until the data transmission is completed.

The beneficial effects of the present invention are:

The technical solution of the present invention proposes an adjustment of data transmission requests based on an adaptive dynamic feedback transmission mechanism. According to the periodic prediction of the load estimate value, available bandwidth and congestion degree of the transmission path, the test end adjusts the data transmission request amount adjustment. According to the network parameters of transmission feedback, different strategies are implemented, and based on the optimal control algorithm, the key segment threshold of the data transmission request volume can be dynamically adjusted, so as to reduce the time-varying of the transmission network and the influence of the delay of the feedback data, and realize the adaptive dynamic adjustment. The number of data transmission requests improves network throughput, realizes load balancing based on web service interface data transmission, and ensures the efficiency of parallel processing of test data.

Description of drawings

Exemplary embodiments of the present invention may be more fully understood by reference to the following drawings:

FIG. 1 is a flowchart of a method 100 for unified interface testing and concurrent transmission of a power consumption information collection system according to an embodiment of the present invention; and

FIG. 2 is a schematic structural diagram of a unified interface test concurrent transmission system 200 of a power consumption information collection system according to an embodiment of the present invention.

Detailed ways

Exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for the purpose of this thorough and complete disclosure invention, and fully convey the scope of the invention to those skilled in the art. The terms used in the exemplary embodiments shown in the drawings are not intended to limit the invention. In the drawings, the same elements/elements are given the same reference numerals.

Unless otherwise defined, terms (including scientific and technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it is to be understood that terms defined in commonly used dictionaries should be construed as having meanings consistent with the context in the related art, and should not be construed as idealized or overly formal meanings.

FIG. 1 is a flow chart of a method 100 for unified interface test concurrent transmission of a power consumption information collection system according to an embodiment of the present invention. As shown in FIG. 1, the method 100 is used to test and transmit the unified interface of the electricity information collection system. The method mainly uses the transmission path load estimation value to improve the efficiency and fairness of data transmission, and draws on the idea of the standard TCP protocol. , but using a completely different strategy, predicting the load factor of the transmission path based on periodicity, and mapping the load factor to 3 different utility regions, namely low load, high load and overload. In the low load area, the test terminal adopts the "quick start" strategy to adjust the data transmission request volume, so as to converge to the high bandwidth utilization rate as quickly as possible, and at the same time avoid unnecessary packet loss; in the high load area, the factor U _th is introduced Divide it into two non-overlapping sub-regions, namely synchronous increase (ρ _l <ρ≤U _th ) and asynchronous increase (U _th <ρ≤1), respectively adopt “gentle growth” and “linear growth” to adjust data transmission Request volume, accelerate the convergence of data transmission flow to fairness, and the cut-off value U _th is determined by the available bandwidth and congestion degree of the network; in the overload area, it is more reasonable to use the "regressive sending" operation to reduce the data transmission request volume and ignore the subsequent load estimation feedback. The reduced congestion window, that is, the window reduction ratio of high-bandwidth flows is large, otherwise it is small.

Preferably, the method 100 for unified interface testing of the electrical information collection system starts from step 101, and in step 101, the sum of the amount of data transmission requests to be sent and the amount of transmission data in the previous cycle is taken as the data to be transmitted in the current cycle request volume.

Preferably, in step 102, the load estimation value is calculated according to the request amount of the data to be transmitted and the maximum transmission amount of the transmission path. Preferably, the calculation method of the load estimation value is:

为单位时间内测试方的平均请求队列数，即平均数据传输请求数；k_q为队列积压的释放率；ξ为传输路径的利用率，C为传输通道的瓶颈带宽。Among them, ρ is the estimated load value; λ is the amount of data received by the test terminal per time interval t _ρ ;

is the average number of request queues of the test party in unit time, that is, the average number of data transmission requests; k _q is the release rate of the queue backlog; ξ is the utilization rate of the transmission path, and C is the bottleneck bandwidth of the transmission channel.

Preferably, in step 103, the available bandwidth and the congestion degree are respectively calculated according to the feedback information of the data request of the transmission data volume of the current period, wherein the feedback information includes: the data request response rate and the data transmission request information. Preferably, the calculation method of the available bandwidth is:

Among them, B _n is the estimated available bandwidth when the transmission of the nth data request is completed at time tn; _{tn -1} is the time when the data transmission of the n-1th data transmission request is completed; _Ln is the nth data transmission request The amount of data transmitted; RTT is the end-to-end delay estimate of the data transmission request at time t _n , which is determined by the end-to-end round-trip time of the nth data transmission request; π _n is the scale factor.

Preferably, the calculation method of the scale factor is:

Among them, D _tra(n-1) represents the n-1 th data transmission request amount, and P is the size of the data transmission request.

Preferably, the calculation method of the congestion degree is:

Among them, g is the weighting factor, and the value range of g is (0, 1); F is the completion ratio of data transmission requests returned in the previous time interval t _ρ , and α is the retransmission of data transmission requests sent within the previous time interval t _ρ The maximum number of times, M is the amount of data transmission requests completed by the tester in the last time interval _tρ , and T is the amount of data transmission requests sent by the tester in the last time interval _tρ .

Preferably, the calculation method of the data transmission request completion ratio F is:

Among them, the more data transmission requests backlogged within the time interval t _ρ , the more the number of retransmissions, which will increase the value of cl until the upper limit ₁ is reached. Using the estimated c _l value, the load factor γ can be adjusted adaptively by the following methods:

γ=γ _max -c _l (γ _max -γ _min ),

Among them, γ _max is the maximum value of γ, which is recorded as 0.875, and γ _min is the minimum and minimum value of γ, which is recorded as 0.375. In most cases, the network is overloaded, indicating that network congestion is about to occur. To avoid congestion, the amount of data transmission requests It should be reduced more. If the retransmission of data requests increases, the tested party transmits data based on the web service interface. After the data transmission is interrupted, the data must be retransmitted. Therefore, the amount of data transmission requests should be reduced to ensure the effectiveness of data transmission. , to avoid invalid transfers.

Preferably, in step 104, the amount of data transmission requests to be sent in the next cycle is adaptively and dynamically adjusted according to the available bandwidth, the congestion degree and the load estimation value according to the adjustment strategy. Among them, the load estimation value is classified into four stages of "quick start", "gentle growth", "linear growth" and "regression transmission"; the available bandwidth is adjusted by the "gentle growth" data transmission request volume; the congestion degree is determined The segmentation threshold of the load factor can be adjusted adaptively.

In the embodiment of the present invention, the dynamic mechanisms of "quick start", "smooth growth", "linear growth" and "regression transmission" are used to adjust the data transmission request volume in real time to send requests, so as to ensure the reliability of data transmission and the resistance to resistance. The most efficient transmission of data is achieved on the basis of interference. "Quick start" mainly increases the data transmission request exponentially, so that the size of the data transmission request can be increased to the maximum; try to maintain a stable data transmission request to avoid the increase in the probability of loss of data transmission requests; "linear growth" is mainly to add 1 to the data transmission request size and send, so that the data transmission request size grows in a minimum linear way until the data transmission request is reached. The maximum value of the transmission request, or until the confirmation time reaches the maximum; "Return to send" means that when the network status becomes poor or the data transmission request is full, the data transmission packet loss increases, the sent data packet receives the confirmation time longer, and the data transmission request is sent. The amount is reduced proportionally, and the transmission is restarted.

Preferably, the adaptive and dynamic adjustment of the amount of data transmission requests to be sent in the next cycle according to the available bandwidth, the congestion degree and the load estimation value according to the adjustment strategy, includes:

If the estimated load value is less than the threshold of the load factor, the test terminal adopts the "quick start" strategy to rapidly increase the amount of data transmission requests; the calculation method for rapidly increasing the amount of data transmission requests is as follows:

Wherein, D _tra is the data transmission request amount, α is the growth factor of the data transmission request amount, and RTT _min is the minimum RTT value observed by the test terminal;

If the estimated load value is greater than the load factor threshold and less than or equal to the asynchronous feedback threshold, the test terminal adopts the "smooth growth" strategy to increase the amount of data transmission requests; the calculation method for increasing the amount of data transmission requests is:

If the estimated load value is greater than the asynchronous feedback threshold and less than or equal to 1, the test terminal adopts the "linear growth" strategy to increase the amount of data transmission requests; wherein, the calculation method for increasing the amount of data transmission requests is:

D _tra ← D _tra +1;

If the estimated load value is greater than 1, the test terminal adopts the "regressive sending" strategy to reduce the amount of data transmission requests, and balances the speed of convergence to fairness and the utilization of transmission paths; wherein, the calculation method for reducing the amount of data transmission requests is:

D _tra ← D _tra γ,

Among them, γ is the reduction ratio of the data transmission request amount.

Preferably, in step 105, the segmentation threshold of the load factor is optimally adjusted based on dynamic programming. Based on the state value of the set load estimation, determine the stage adjustment of the data transmission request volume change, optimize the segmentation threshold in real time according to the dynamic programming optimal control, and dynamically adjust the data transmission request change volume by using the available bandwidth estimation and the congestion degree estimation, which is effective based on the feedback information. Enhance the network data transmission performance, reduce the interface network burden, improve the interface throughput, and ensure the overall processing capability of the system.

Preferably, the method for optimally adjusting the segmentation threshold of the load factor based on dynamic programming includes:

首先将迭代次数k设为0，返回上限n设为0，然后对ρ_l进行初始化阈值范围，ρ_min为ρ_l的最小取值，ρ_max为ρ_l的最大取值且初始为1，记

Step (1): Initialize the adjustment parameters, wherein the adjustment parameters include: the number of iterations k, the return upper limit n, and the load factor threshold range

First, set the number of iterations k to 0, the return upper limit n to 0, and then initialize the threshold range of ρ _l , where ρ _min is the minimum value of ρ _l , ρ _max is the maximum value of ρ _l and is initially 1, denoted

Step (2): adjust the request amount of data transmission in real time according to the dynamic mechanism of the adjustment strategy, and perform traversal assignment to the data within the load factor threshold range, wherein the method for traversal assignment to the data within the load factor threshold range is:

记录历次

时间段内所发送的数据传输请求为

测试端完成接收数据传输请求

的时间

及接收数据量

每一次

的赋值，都经历一次完整的“快速启动”、“平缓增长”、“线性增长”、“回归发送”数据传输过程，在此过程中，每一次的ρ经历从

到1的变化。Among them, the traversal threshold

record

The data transfer request sent in the time period is

The test end completes receiving the data transmission request

time

and the amount of data received

every time

The assignment of , all go through a complete data transmission process of "quick start", "gentle growth", "linear growth" and "regression transmission". During this process, each ρ experience from

change to 1.

的测试端数据接收速率以及接收速率均值，其中，接收速率的计算公式为：Step (3): Calculate previous thresholds

The data receiving rate and the average receiving rate of the test terminal, where the calculation formula of the receiving rate is:

The formula for calculating the average receive rate is:

时，

为在本次数据传输过程中，测试端在负载因子为

内的完成接收数据传输请求的时间；

为在此过程中的接收数据量；

为负载因子阈值取

时的测试端数据接收速率。Among them, V is the acceptance rate of data transmission at the test end, R is the amount of data received by the test end, t is the time for the test end to complete the data transmission request, and V _k is the average receiving rate; when the load factor threshold is taken as

hour,

In this data transmission process, the load factor of the test terminal is

within the time to complete the received data transfer request;

is the amount of data received during this process;

Take for the load factor threshold

The data receiving rate of the test terminal at the time.

Step (4): compare the difference between the mean value of the reception rate before and after the two times with the data reception rate growth threshold of the test terminal,

的对应阈值

归为集合ρ^k内，将集合ρ^k内最大值赋值给ρ_max，最小值赋值给ρ_min，k＝k+1，n置0，并返回步骤(2)。If (V ^k -V ^k-1 )>ε>0, then

The corresponding threshold of

In the set ρ ^k , the maximum value in the set ρ ^k is assigned to ρ _max , the minimum value is assigned to ρ _min , k=k+1, n is set to 0, and the process returns to step (2).

记为V_max，其所对应的阈值

赋值给ρ_l，k＝k+1，以阈值ρ_l进行数据动态传输，

n置0，若V^k≥V_max，重新进入此步骤；若V^k＜V_max，进入步骤(2)。其中，若0＜(V^k-V^k-1)＜ε，说明本次ρ的取值[ρ_min,ρ_max]比上一次而言，已经导致数据接收速率增长很小，故此时[ρ_min,ρ_max]已经很小，且相当接近最优值，我们此时选取本次获取最大传输速率的

取值赋值给ρ_l作为最优质，并在下一次传输时以ρ_l为传输阈值。若V^k≥V_max，此时进入下一次数据传输请求发送，若本次V^k≥V_max，说明目前网络传输状态稳定且上一次选取的最优阈值ρ_l合理，数据接收速率大于或等于之前的最大值，故返回步骤(5)，下一次发送数据传输请求的最优阈值ρ_l不变。若V^k＜V_max，说明此时ρ_l不是最优阈值，需进行重新筛选，故返回步骤(2)继续基于最近次的阈值范围[ρ_min,ρ_max]进行最优值筛选.导致这种情况发生的可能是网络传输小波动或者上一次选取的ρ_l不合理。If 0<(V ^k -V ^k-1 )<ε, select the maximum value of this iteration

Denoted as V _max , the corresponding threshold

is assigned to ρ _l , k=k+1, and dynamic data transmission is performed with the threshold ρ _l ,

n is set to 0, if V ^k ≥ V _max , enter this step again; if V ^k <V _max , enter step (2). Among them, if 0<(V ^k -V ^k-1 )<ε, it means that the value of ρ this time [ρ _min , ρ _max ] has caused a small increase in the data reception rate compared with the last time, so at this time [ρ _min , ρ _max ] is already very small and quite close to the optimal value. At this time, we choose to obtain the maximum transmission rate this time.

The value is assigned to ρ _l as the best quality, and ρ _l is used as the transmission threshold in the next transmission. If V ^k ≥V _max , the next data transmission request is sent at this time. If V ^k ≥ V _max this time, it means that the current network transmission state is stable and the optimal threshold ρ _l selected last time is reasonable, and the data reception rate is greater than or equal to The previous maximum value, so return to step (5), and the optimal threshold ρ _l for the next data transmission request is unchanged. If V ^k <V _max , it means that ρ _l is not the optimal threshold at this time, and needs to be re-screened, so go back to step (2) and continue to filter the optimal value based on the most recent threshold range [ρ _min , ρ _max ]. This situation may occur due to small fluctuations in network transmission or unreasonable ρ _l selected last time.

If (V ^k -V ^k-1 )<0 and n≤3, then k=k-1, the maximum value in the set ρ ^k of the k-th iteration is assigned to ρ _max , and the minimum value is assigned to ρ _min , n= n+1, and return to step (2). If (V ^k -V ^k-1 )<0 and n≤3, it means that the current data transmission rate is lower than the last time, this kind of situation may be a temporary small fluctuation of the network transmission state, so k is reduced by one, and the above A [ρ _min ,ρ _max ] threshold space for optimal threshold screening, and n+1.

If (V ^k -V ^k-1 )<0 and n>3, return to step (1), and the optimal threshold ρ _l is optimized in real time according to the network transmission state until the data transmission is completed. If (V ^k -V ^k-1 )<0 and n>3, it means that [ρ _min ,ρ _max ] has undergone three return visits, and the data transmission rate this time is still lower than the last time, indicating that the network transmission state at this time There is a big change, so go back to step (1) to re-optimize the threshold screening. The overall optimal threshold value is adjusted in real time according to the network transmission state. The optimal threshold value ρ _l is generated in step (4), and will be adjusted in a small range based on the fluctuation of the network transmission state in a small range. If the network transmission state is unstable and there is a large fluctuation, return to step (1) to initialize and perform threshold screening again. The optimal threshold ρ _l is optimized in real time according to the network transmission state until the data transmission is completed.

When the test end receives the feedback information of the data and dynamically adjusts the data transmission request amount, due to the time-varying transmission path information and the delay of the feedback data, the decisive factor of the transmission strategy is the value of the threshold ρ _l . The amount of data transmission requests in the "start-up" stage increases rapidly, and the data transmission rate is increased in a short period of time. After the threshold ρ _l , the amount of data transmission requests at this time maintains a high level, and the change is relatively slow. During the entire data transmission process The proportion of ρ l is more than 75%. Based on the optimal threshold control strategy of dynamic programming, the threshold ρ _l is dynamically optimized and adjusted.

FIG. 2 is a schematic structural diagram of a unified interface test concurrent transmission system 200 of a power consumption information collection system according to an embodiment of the present invention. As shown in FIG. 2, the unified interface testing and concurrent transmission system 200 of the power consumption information collection system includes: a data request amount calculation unit 201 to be transmitted, a load estimation value calculation unit 202, an available bandwidth and congestion degree calculation unit 203, a The one-cycle data transmission request amount adjustment unit 204 and the load factor segmentation threshold adjustment unit 205 .

Preferably, the data request amount calculation unit 201 is configured to take the sum of the data transmission request amount to be sent and the transmission data amount in the previous cycle as the data request amount to be transmitted in the current cycle.

Preferably, the load estimation value calculation unit 202 is configured to calculate the load estimation value according to the request amount of the data to be transmitted and the maximum transmission amount of the transmission path. Preferably, wherein the load estimate is calculated by:

为单位时间内测试方的平均请求队列数，即平均数据传输请求数；k_q为队列积压的释放率；ξ为传输路径的利用率，C为传输通道的瓶颈带宽。Among them, ρ is the estimated load value; λ is the amount of data received by the test terminal per time interval t _ρ ;

is the average number of request queues of the test party in unit time, that is, the average number of data transmission requests; k _q is the release rate of the queue backlog; ξ is the utilization rate of the transmission path, and C is the bottleneck bandwidth of the transmission channel.

Preferably, the available bandwidth and congestion degree calculation unit 203 is configured to calculate the available bandwidth and the congestion degree respectively according to the feedback information of the data request of the transmission data volume of the current period, wherein the feedback information includes: data request response rate and data Transmission request information. Preferably, wherein the available bandwidth is calculated by:

Among them, B _n is the estimated available bandwidth when the transmission of the nth data request is completed at time tn; _{tn -1} is the time when the data transmission of the n-1th data transmission request is completed; _Ln is the nth data transmission request The amount of data transmitted; RTT is the end-to-end delay estimate of the data transmission request at time t _n , which is determined by the end-to-end round-trip time of the nth data transmission request; π _n is the scale factor.

Preferably, wherein the scaling factor is calculated by:

Among them, D _tra(n-1) represents the n-1 th data transmission request amount, and P is the size of the data transmission request.

Preferably, wherein the congestion degree is calculated by:

Among them, g is the weighting factor, and the value range of g is (0, 1); F is the completion ratio of data transmission requests returned in the previous time interval t _ρ , and α is the retransmission of data transmission requests sent within the previous time interval t _ρ The maximum number of times, M is the amount of data transmission requests completed by the tester in the last time interval _tρ , and T is the amount of data transmission requests sent by the tester in the last time interval _tρ .

Preferably, the data transmission request completion ratio F is calculated in the following manner:

Preferably, the data transmission request amount adjustment unit 204 in the next cycle is configured to adaptively and dynamically adjust the data transmission request amount to be sent in the next cycle according to the available bandwidth, the congestion degree and the load estimation value according to the adjustment strategy . Preferably, the data transmission request amount adjustment unit 204 in the next cycle is specifically configured to:

If the estimated load value is less than the threshold of the load factor, the test terminal adopts the "quick start" strategy to rapidly increase the amount of data transmission requests. The rapid increase in the amount of data transmission requests is calculated in the following ways:

Wherein, D _tra is the data transmission request amount, α is the growth factor of the data transmission request amount, and RTT _min is the minimum RTT value observed by the test terminal;

If the estimated load value is greater than the load factor threshold and less than or equal to the asynchronous feedback threshold, the test terminal adopts the "smooth growth" strategy to increase the amount of data transmission requests. The increase in the amount of data transmission requests is calculated in the following ways:

If the estimated load value is greater than the asynchronous feedback threshold and less than or equal to 1, the test terminal adopts the "linear growth" strategy to increase the amount of data transmission requests; wherein, the increase in the amount of data transmission requests is calculated in the following manner:

D _tra ← D _tra +1;

If the estimated load value is greater than 1, the test terminal adopts the "regressive sending" strategy to reduce the amount of data transmission requests, and balances the speed of convergence to fairness and the utilization of transmission paths; wherein, the reduction in the amount of data transmission requests is calculated in the following way:

D _tra ← D _tra γ,

Among them, γ is the reduction ratio of the data transmission request amount.

Preferably, the segment threshold adjustment unit 205 of the load factor is configured to optimally adjust the segment threshold of the load factor based on dynamic programming. Preferably, the segment threshold adjustment unit 205 of the load factor is specifically configured to:

Step (1): Initialize the adjustment parameters, wherein the adjustment parameters include: the number of iterations k, the return upper limit n, and the load factor threshold range

Step (2): adjust the request amount of data transmission in real time according to the dynamic mechanism of the adjustment strategy, and perform traversal assignment to the data within the load factor threshold range, wherein the method for traversal assignment to the data within the load factor threshold range is:

记录历次

时间段内所发送的数据传输请求为

测试端完成接收数据传输请求

的时间

及接收数据量

Among them, the traversal threshold

record

The data transfer request sent in the time period is

The test end completes receiving the data transmission request

time

and the amount of data received

的测试端数据接收速率以及接收速率均值，其中，接收速率的计算公式为：Step (3): Calculate previous thresholds

The data receiving rate and the average receiving rate of the test terminal, where the calculation formula of the receiving rate is:

The formula for calculating the average receive rate is:

时，

为在本次数据传输过程中，测试端在负载因子为

内的完成接收数据传输请求的时间；

为在此过程中的接收数据量；

为负载因子阈值取

时的测试端数据接收速率。Among them, V is the acceptance rate of data transmission at the test end, R is the amount of data received by the test end, t is the time for the test end to complete the data transmission request, and V _k is the average receiving rate; when the load factor threshold is taken as

hour,

In this data transmission process, the load factor of the test terminal is

within the time to complete the received data transfer request;

is the amount of data received during this process;

Take for the load factor threshold

The data receiving rate of the test terminal at the time.

Step (4): compare the difference between the mean value of the reception rate before and after the two times with the data reception rate growth threshold of the test terminal,

的对应阈值

归为集合ρ^k内，将集合ρ^k内最大值赋值给ρ_max，最小值赋值给ρ_min，k＝k+1，n置0，并返回步骤(2)；If (V ^k -V ^k-1 )>ε>0, then

The corresponding threshold of

In the set ρ ^k , the maximum value in the set ρ ^k is assigned to ρ _max , the minimum value is assigned to ρ _min , k=k+1, n is set to 0, and returns to step (2);

记为V_max，其所对应的阈值

赋值给ρ_l，k＝k+1，以阈值ρ_l进行数据动态传输，

n置0，若V^k≥V_max，重新进入此步骤；若V^k＜V_max，进入步骤(2)；If 0<(V ^k -V ^k-1 )<ε, select the maximum value of this iteration

Denoted as V _max , the corresponding threshold

is assigned to ρ _l , k=k+1, and dynamic data transmission is performed with the threshold ρ _l ,

n is set to 0, if V ^k ≥V _max , enter this step again; if V ^k <V _max , enter step (2);

If (V ^k -V ^k-1 )<0 and n≤3, then k=k-1, the maximum value in the set ρ ^k of the k-th iteration is assigned to ρ _max , and the minimum value is assigned to ρ _min , n= n+1, and return to step (2);

If (V ^k -V ^k-1 )<0 and n>3, return to step (1), and the optimal threshold ρ _l is optimized in real time according to the network transmission state until the data transmission is completed.

The unified interface test and concurrent transmission system 200 of an electrical information collection system according to an embodiment of the present invention corresponds to the unified interface test and concurrent transmission method 100 of an electrical information collection system according to another embodiment of the present invention, and will not be repeated here.

The present invention has been described with reference to a few embodiments. However, as is known to those skilled in the art, other embodiments than the above disclosed invention are equally within the scope of the invention, as defined by the appended patent claims.

Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise herein. All references to "a/the/the [means, component, etc.]" are open to interpretation as at least one instance of said means, component, etc., unless expressly stated otherwise. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated.

Claims (16)

1. A method for testing and transmitting concurrency of a unified interface of a power utilization information acquisition system is characterized by comprising the following steps:

taking the sum of the data transmission request quantity to be sent and the transmission data quantity of the previous period as the data transmission request quantity of the current period;

calculating a load estimation value according to the data request quantity to be transmitted and the maximum transmission quantity of the transmission path;

respectively calculating available bandwidth and congestion degree according to feedback information of a data request of the transmission data volume of the current period, wherein the feedback information comprises: data request response rate and data transmission request information;

the data transmission request quantity to be sent in the next period is adaptively and dynamically adjusted according to the available bandwidth, the congestion degree and the load estimation value and an adjustment strategy;

and optimally adjusting the segmentation threshold of the load factor based on dynamic programming.

2. The method of claim 1, wherein the load estimation value is calculated by:

wherein rho is a load estimation value; λ is per time interval t_ρThe data volume received by the test terminal;

the average request queue number of the tester in unit time, namely the average data transmission request number; k is a radical of_qRelease rate for queue backlog; xi is the utilization rate of the transmission path, and C is the bottleneck bandwidth of the transmission channel.

3. The method of claim 1, wherein the available bandwidth is calculated by:

wherein, B_nIs at t_nThe estimated available bandwidth when the nth data request is transmitted; t is t_n-1The moment when the data transmission of the (n-1) th data transmission request is finished; l is_nThe amount of data transmitted for the nth data transmission request; RTT is t_nEstimating the end-to-end time delay of the data transmission request at the moment, and determining the end-to-end round-trip time of the nth data transmission request; pi_nIs a scale factor.

4. The method of claim 3, wherein the scaling factor is calculated by:

wherein D is_tra(n-1)The number of the (n-1) th data transmission requests is shown, and P is the size of the data transmission request.

5. The method of claim 1, wherein the congestion degree is calculated by:

wherein g is a weighting factor, and the value range of g is (0, 1); f is the last time interval t_ρThe returned data transmission request completion ratio, alpha is the last time interval t_ρAnd the maximum retransmission times of the internal sending data transmission request.

6. Method according to claim 5, characterized in that said last time interval t_ρThe method for calculating the returned data transmission request completion ratio F comprises the following steps:

where M is the last time interval t_ρThe data transmission request quantity of the internal testing party for completing transmission, T is the last time interval T_ρAnd the data transmission request quantity sent by the internal test end.

7. The method of claim 1, wherein the adaptively and dynamically adjusting the amount of data transmission requests to be sent in the next period according to the adjustment strategy based on the available bandwidth, the congestion degree and the load estimation value comprises:

if the load estimation value is smaller than the threshold value of the load factor, the test end adopts a 'quick start' strategy to quickly increase the data transmission request quantity; the calculation method for rapidly increasing the data transmission request amount comprises the following steps:

wherein D is_traAlpha is the increment factor of the data transmission request quantity, RTT_minMinimum observed RTT value for the test end;

if the load estimation value is greater than the load factor threshold and less than or equal to the asynchronous feedback threshold, the test end increases the data transmission request quantity by adopting a 'smooth increase' strategy; the calculation method for increasing the data transmission request amount comprises the following steps:

if the load estimation value is greater than the asynchronous feedback threshold value and less than or equal to 1, the test end adopts a linear increase strategy to increase the data transmission request quantity; the calculation method for increasing the data transmission request amount comprises the following steps:

D_tra←D_tra+1；

if the load estimation value is larger than 1, the test end adopts a 'regression sending' strategy to reduce the data transmission request quantity and balance and converge on fair speed and transmission path utilization rate; the calculation method for reducing the data transmission request amount comprises the following steps:

D_tra←D_tra·γ，

where γ is a data transmission request amount reduction ratio.

8. The method of claim 1, wherein the method for optimally adjusting the segment threshold of the load factor based on dynamic programming comprises:

step (1): carrying out initialization setting on adjustment parameters, wherein the adjustment parameters comprise: iteration number k, return upper limit n and load factor threshold rangeEnclose

Step (2): the method comprises the following steps of adjusting the request quantity of data transmission in real time according to a dynamic mechanism of an adjustment strategy, and performing traversal assignment on data within a load factor threshold range, wherein the method for performing traversal assignment on the data within the load factor threshold range comprises the following steps:

wherein the threshold is traversed

Record the history

The data transmission request sent in the time period is

The test terminal completes the receiving of the data transmission request

Time of

And receive data volume

And (3): calculating the history threshold

The test end data receiving rate and the receiving rate mean value, wherein the receiving rate has a calculation formula as follows:

the calculation formula of the mean receiving rate is as follows:

wherein V is the receiving rate of data transmission of the test end, R is the receiving data volume of the test end, t is the time for the test end to complete the data transmission request, and V_kIs the mean value of the receiving rate; when the load factor threshold is taken

When the temperature of the water is higher than the set temperature,

in the data transmission process, the load factor of the test end is

Time to complete receiving the data transmission request;

the amount of received data in the process;

for load factor threshold

The data receiving rate of the time-dependent test end;

and (4): comparing the difference value of the mean receiving rate of the two times with the receiving rate increase threshold value of the data at the test end,

if (V)^k-V^k-1) > 0, then

Corresponding threshold value of

Reduced to the set ρ^kIn, the set ρ^kAssigning the internal maximum value to rho_maxThe minimum value is assigned to rho_minK is k +1, n is set to 0, and the step (2) is returned;

if 0 < (V)^k-V^k-1) Selecting the maximum of the iteration

Is marked as V_maxThe threshold value corresponding thereto

Is assigned to rho_lK is k +1, by a threshold p_lThe dynamic transmission of the data is carried out,

n is set to 0, if V^k≥V_maxRe-entering the step; if V^k＜V_maxEntering the step (2);

if (V)^k-V^k-1) If n is less than 0 and less than or equal to 3, k is k-1, and the set rho of the k iteration is^kAssigning the internal maximum value to rho_maxThe minimum value is assigned to rho_minN is n +1, and returns to step (2);

if (V)^k-V^k-1) Less than 0 and n > 3, returning to the step (1), and optimizing the threshold value rho_lOptimizing in real time according to the network transmission state until the data transmission is finished; wherein a threshold is increased for the test side data reception rate.

9. The utility model provides a unified interface test of power consumption information acquisition system and transmission system that sends out which characterized in that, the system includes: a waiting data request quantity calculating unit, a load estimation value calculating unit, an available bandwidth and congestion degree calculating unit, a data transmission request quantity adjusting unit of the next period and a segmentation threshold adjusting unit of a load factor,

the data request quantity to be transmitted calculating unit is used for taking the sum of the data transmission request quantity to be transmitted and the transmission data quantity of the previous period as the data request quantity to be transmitted of the current period;

the load estimation value calculation unit is used for calculating a load estimation value according to the data request quantity to be transmitted and the maximum transmission quantity of the transmission path;

the available bandwidth and congestion degree calculating unit is configured to calculate an available bandwidth and a congestion degree according to feedback information of a data request of a transmission data amount of a current period, respectively, where the feedback information includes: data request response rate and data transmission request information;

the data transmission request quantity adjusting unit of the next period is used for adaptively and dynamically adjusting the data transmission request quantity to be sent of the next period according to the available bandwidth, the congestion degree and the load estimation value and an adjusting strategy;

and the load factor segmentation threshold adjusting unit is used for optimally adjusting the segmentation threshold of the load factor based on dynamic programming.

10. The system of claim 9, wherein the load estimate is calculated by:

wherein rho is a load estimation value; λ is per time interval t_ρThe data volume received by the test terminal;

the average request queue number of the tester in unit time, namely the average data transmission request number; k is a radical of_qRelease rate for queue backlog; xi is the utilization rate of the transmission path, and C is the bottleneck bandwidth of the transmission channel.

11. The system of claim 9, wherein the available bandwidth is calculated by:

wherein, B_nIs at t_nThe estimated available bandwidth when the nth data request is transmitted; t is t_n-1The moment when the data transmission of the (n-1) th data transmission request is finished; l is_nThe amount of data transmitted for the nth data transmission request; RTT is t_nEstimating the end-to-end time delay of the data transmission request at the moment, and determining the end-to-end round-trip time of the nth data transmission request; pi_nIs a scale factor.

12. The system of claim 11, wherein the scaling factor is calculated by:

wherein D is_tra(n-1)The number of the (n-1) th data transmission requests is shown, and P is the size of the data transmission request.

13. The system of claim 9, wherein the congestion degree is calculated by:

wherein g is a weighting factor, and the value range of g is (0, 1); f is the last time interval t_ρThe returned data transmission request completion ratio, alpha is the last time interval t_ρAnd the maximum retransmission times of the internal sending data transmission request.

14. The system of claim 13, wherein the last time interval t_ρThe returned data transmission request completion ratio F is calculated by:

where M is the last time interval t_ρThe data transmission request quantity of the internal testing party for completing transmission, T is the last time interval T_ρAnd the data transmission request quantity sent by the internal test end.

15. The system of claim 9, wherein the data transmission request amount adjustment unit of the next cycle is specifically configured to:

if the load estimation value is smaller than the threshold value of the load factor, the test end adopts a 'quick start' strategy to quickly increase the data transmission request quantity; wherein, the fast increase data transmission request amount is calculated by the following method:

wherein D is_traAlpha is the increment factor of the data transmission request quantity, RTT_minMinimum observed RTT value for the test end;

if the load estimation value is greater than the load factor threshold and less than or equal to the asynchronous feedback threshold, the test end increases the data transmission request quantity by adopting a 'smooth increase' strategy; wherein, the increase of the data transmission request amount is calculated by the following method:

if the load estimation value is greater than the asynchronous feedback threshold value and less than or equal to 1, the test end adopts a linear increase strategy to increase the data transmission request quantity; wherein the increase data transmission request amount is calculated by:

D_tra←D_tra+1；

if the load estimation value is larger than 1, the test end adopts a 'regression sending' strategy to reduce the data transmission request quantity and balance and converge on fair speed and transmission path utilization rate; wherein the reduction in data transmission request size is calculated in the following manner:

D_tra←D_tra·γ，

where γ is a data transmission request amount reduction ratio.

16. The system according to claim 9, wherein the segment threshold adjustment unit of the load factor is specifically configured to:

step (1): carrying out initialization setting on adjustment parameters, wherein the adjustment parameters comprise: iteration number k, return upper limit n and load factor threshold range

Step (2): the method comprises the following steps of adjusting the request quantity of data transmission in real time according to a dynamic mechanism of an adjustment strategy, and performing traversal assignment on data within a load factor threshold range, wherein the method for performing traversal assignment on the data within the load factor threshold range comprises the following steps:

wherein the threshold is traversed

Record the history

The data transmission request sent in the time period is

The test terminal completes the receiving of the data transmission request

Time of

And receive data volume

And (3): calculating the history threshold

The test end data receiving rate and the receiving rate mean value, wherein the receiving rate has a calculation formula as follows:

the calculation formula of the mean receiving rate is as follows:

wherein V is the receiving rate of data transmission of the test end, R is the receiving data volume of the test end, t is the time for the test end to complete the data transmission request, and V_kIs the mean value of the receiving rate; when the load factor threshold is taken

When the temperature of the water is higher than the set temperature,

in the data transmission process, the load factor of the test end is

Time to complete receiving the data transmission request;

the amount of received data in the process;

for load factor threshold

The data receiving rate of the time-dependent test end;

and (4): comparing the difference value of the mean receiving rate of the two times with the receiving rate increase threshold value of the data at the test end,

if (V)^k-V^k-1) > 0, then

Corresponding threshold value of

Reduced to the set ρ^kIn, the set ρ^kAssigning the internal maximum value to rho_maxThe minimum value is assigned to rho_minK is k +1, n is set to 0, and the step (2) is returned;

if 0 < (V)^k-V^k-1) Selecting the maximum of the iteration

Is marked as V_maxThe threshold value corresponding thereto

Is assigned to rho_lK is k +1, by a threshold p_lThe dynamic transmission of the data is carried out,

n is set to 0, if V^k≥V_maxRe-entering the step; if V^k＜V_maxEntering the step (2);

if (V)^k-V^k-1) If n is less than 0 and less than or equal to 3, k is k-1, and the set rho of the k iteration is^kAssigning the internal maximum value to rho_maxThe minimum value is assigned to rho_minN is n +1, and returns to step (2);

if (V)^k-V^k-1) < 0 and n > 3, return to step (a)1) Optimum threshold value rho_lOptimizing in real time according to the network transmission state until the data transmission is finished; wherein a threshold is increased for the test side data reception rate.

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