UDP data rate slow with 1GBE ethernet connection

Question

Shimon Elkin 2022-7-19

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1763390-udp-data-rate-slow-with-1gbe-ethernet-connection

回答： Vinayak 2024-1-17

hi folks,

i have a two work station that are connects via 1GBE ethernet.

when transfering data at this setup i've encountered that the data rate is ~20MBs which is mach lower then the expected data rate of a 1GBe comminication. i've used udp object and udpport object that ended up with the same results in MATLAB. Code below>>

ferther investing this ive found out that an off the shelf Cpp code gets 800MBs data rate.

is there a way to enhance or controll the data rate from within MATLAB?
if not how can i work with higher data rates inder my setup, use external C\Java code?

--------------------------------------- Code ---------------------------------------

% TASK send data from port A to Port B

% UDP test for the same computer nIP = 1

% UDP test for the two computers nIP = 2

clc, clear all, close all

n_packets = 200;

packet_size = 4096;

BufferSize = packet_size * 2;

nIP = 1;

%

ipA = '192.168.1.100'; portA = 9092;

if nIP == 1

ipB = '192.168.1.100'; portB = 9093;

else

ipB = '192.168.1.101'; portB = 9093;

end

u=udp(ipB,'RemotePort',portB,'Localport',portA);

set(u, 'InputBufferSize', BufferSize);

set(u, 'OutputBufferSize', BufferSize);

set(u,'DatagramTerminateMode','off')

set(u,'Timeout',0.01);

a = zeros(packet_size,1,'int16');

b = zeros(packet_size,1,'int16');

a = ones(packet_size,1,'int16');

i = 1;

miss_count = 0;

fopen(u);

tic

% Loop over write

while 1 %i<n_packets

a(1) = mod(i,32767);

fwrite(u,a,'int16');

i = i + 1;

end

t_proc = toc;

echoudp('off');

fclose(u);

delete(u);

data_rate = ((n_packets * packet_size * 16)/1e6)/t_proc;

fprintf('\n n_miss_packet = %g',miss_count);

fprintf('\n tudp_trx_sec = %g',t_proc);

fprintf('\n udp_rate_Mbit/s = %g',data_rate);

% TASK get data from port A to Port B

% TASK send data from port A to Port B

% UDP test for the same computer nIP = 1

% UDP test for the two computers nIP = 2

clc, clear, close all

n_packets = 200;

packet_size = 4096; % 16 bits

BufferSize = packet_size * 2;

nIP = 1;

%Shimmi

ii_max = 15;

t_proc_sum = zeros(size(1:ii_max));

miss_count_sum = zeros(size(1:ii_max));

date_rate_sum = zeros(size(1:ii_max));

ipA = '10.1.21.81'; portA = 9092;

if nIP == 1

ipB = '192.168.1.100'; portB = 9093;

else

ipB = '192.168.1.100'; portB = 9093;

end

for ii=1:ii_max

u=udp(ipA,'RemotePort',portA,'Localport',portB);

set(u, 'InputBufferSize', BufferSize);

set(u, 'OutputBufferSize', BufferSize);

a = zeros(packet_size,1,'int16');

b = zeros(packet_size,1,'int16');

a = ones(packet_size,1,'int16');

set(u,'DatagramTerminateMode','off')

set(u,'Timeout',0.01);

i = 1;

iprev = 1;

miss_count = 0;

% Open UDP

fopen(u);

tic

% Loop over read

while i<n_packets

b=fread(u,packet_size,'int16');

icurr = b(1);

if (iprev ~= icurr)

miss_count = miss_count + 1;

end

iprev = icurr + 1;

i = i + 1;

end

t_proc = toc;

echoudp('off');

fclose(u);

delete(u);

data_rate = ((n_packets * packet_size * 16)/t_proc)/1e6;

%

% fprintf('\n n_miss_packet = %g',miss_count);

% fprintf('\n tudp_rx_sec = %g',t_proc);

% fprintf('\n udp_rate_Mbit/s = %g',data_rate);

%analytics

miss_count_sum(ii) = miss_count;

t_proc_sum (ii) =t_proc;

date_rate_sum (ii) = data_rate;

ii = ii+1;

end

fprintf('\n n_miss_packet = %f',mean(miss_count_sum));

fprintf('\n tudp_rx_sec = %f',mean(t_proc_sum));

fprintf('\n udp_rate_Mbit/s = %f',mean(date_rate_sum));

fprintf('\n ');

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Jeffrey Clark 2022-7-19

@Shimon Elkin, have you tried the preferred Connect to UDP socket - MATLAB (mathworks.com)?

Shimon Elkin 2022-7-20

Hi @Jeffrey Clark, yes i've used udp object and udpport object that ended up with the same results in MATLAB.

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Answer 1

Vinayak 2024-1-17

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1763390-udp-data-rate-slow-with-1gbe-ethernet-connection#answer_1391316

Hi Shimon,

The issues with UDP performance that you've outlined could stem from various factors. To address this, I recommend the following actions:

Confirm that the network infrastructure can accommodate the required transfer speeds.
Optimize the Buffer Size and Packet Sizes; experimenting with different combinations of values can help find the optimal balance, minimizing overhead and fragmentation.
Explore the potential of parallel processing capabilities, if applicable to your specific problem.
Consider utilizing external language interfaces such as C or Python.

For further information on “udpport”, and the Parallel Computing Toolbox, please refer to the following links:

UDP Port: https://www.mathworks.com/help/instrument/udpport.html
External Interfaces: https://www.mathworks.com/help/matlab/external-language-interfaces.html
Parallel Computing Toolbox: https://www.mathworks.com/help/parallel-computing/index.html

Hope this helps!

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