epoll and send lag - c

I'm using Linux 64 bit Linux scv 3.2.0-39-generic #62-Ubuntu SMP Thu Feb 28 00:28:53 UTC 2013 x86_64 x86_64 x86_64 GNU/Linux and have two processes using sockets which run on the same physical host.
One process (A) sends on a TCP/IP socket (would be a local socket given the host is the same) the following pieces of data:
276 bytes
16 bytes
This is done in 0.000023 seconds form process A. The data is being sent calling 2 times the send socket API.
Another process (B), receives the data via epoll using epoll_wait(efd, events, 10, 5). Data is received as follows (time is taken with clock_gettime(CLOCK_REALTIME, &cur_ts);, what matters is relative difference):
Read data from socket buffer at 8051.177743 (276)
Call to epoll 8051.177763 again
Read data from socket buffer 8051.216250 (16)
Making the receiving process lag of 0.038507 seconds. Basically if the sending process A takes less than a ms, on the receiving side epoll to receive the data adds an additional lag of approximately 0.038 s.
Is this expected? What am I doing wrong?
Or how can I improve the situation?
Thanks

Is this expected? ...
Yes. I would expect that. Here's why:
What am I doing wrong? ...
epoll was designed to be used in situations where large numbers of file descriptors need to be watched. That's what it's suitable for, and it seems to me that the situation you're using it for isn't that situation.
... how can I improve the situation?
If you want to improve the performance, use the right tool for the job. Don't use epoll for a single socket. Just use plain-old vanilla recv. If you're handling two or three sockets, consider using poll or select. If you're venturing into hundreds, then you might want to consider using epoll or kqueue.

Related

Monitoring Thread performance of server

I have developed a C server using gcc and pthreads that receives UDP packets and depending on the configuration either drops or forwards them to specific targets. In some cases these packets are untouched and just redirected, in some cases headers in the packet are modified, in other cases there is another module of the server that modifies every byte of the packet.
To configure this server, there is a GUI written in Java that connects to the C Server using TCP (to exchange configuration commands). There can be multiple connected GUIs at the same time.
In order to measure utilization of the server I have written kind of a module that starts two separate threads (#2 & #3). The main thread (#1) that does the whole forwarding work essentially works like the following:
struct monitoring_struct data; //contains 2 * uint64_t for start and end time among other fields
for(;;){
recvfrom();
data.start = current_time();
modifyPacket();
sendPacket(); //sometimes to multiple destinations
data.end = current_time();
writeDataToPipe();
}
The current_time function:
//give a timestamp in microsecond precision
uint64_t current_time(void){
struct timespec spec;
clock_gettime(CLOCK_REALTIME, &spec);
uint64_t ts = (uint64_t) ((((double) spec.tv_sec) * 1.0e6) +
(((double) spec.tv_nsec) / 1.0e3));
return ts;
}
As indicated in the main thread, the data struct is written into a pipe, where thread #2 waits to read from. Everytime there is data to be read from the pipe, thread #2 uses a given aggregation function that stores the data in another place in memory. Thread #3 is a loop, that always sleeps for ~1 sec and then sends out the aggregated values (median, avg, min, max, lower quartil, upper quartil, ...) and then resets the aggregated data. Thread #2 and #3 are synchronized by mutexes.
The GUI listens to this data (if the monitoring window is open) which is sent out via UDP to listeners (there can be more) and the GUI then converts the numbers into diagrams, graphs and "pressure" indicators.
I came up with this as this is in my mind the solution that interferes least of all with thread #1 (assuming that it is run on a multicore system, which it always is, and exclusively besides OS and maybe SSH).
As performance is critical for my server (version "1.0" with simpler configuration was able to manage the maximum amount of streams that were possible using gigabit ethernet) I would like to ask if have my solution may be not as good as I think it is to ensure the least performance hit on thread #1 and if you think there would better designs for that? At least I am unable to think of another solution that is not using locks on the data itself (avoiding the pipe, but potentially locking thread #1) or a shared list implementation using rwlock, with possible reader starvation.
There are scenarios where packets are larger, but we currently use the mode for performance measuring where 1 Streams sends exactly 1000 packets per second. We currently want to ensure version 2.0 at least is possible to work with 12 Streams (hence 12000 packets per second), however previously the server was able to manage 84 Streams.
In the future I would like to add other milestone timestamps to thread #1, e.g. inside modifyPacket() (there are multiple steps) and before sendPacket().
I have tried tinkering with the current_time() function, mostly trying to remove it to save time by just storing the value of clock_gettime(), but in my simple test program the current_time() function always beat the clock_gettime.
Thanks in advance for any input.
if you think there would better designs for that?
The short answer is to use Data Plane Development Kit (DPDK) with its design patterns and libraries. It might be quite a learning curve, but in terms of performance it is the best solution at the moment. It is free and open source (BSD license).
A bit more detailed answer:
the data struct is written into a pipe
Since thread #1 and #2 are the threads of the same process, it would be much faster to pass data using shared memory, not pipes. Just like you used between threads #2 and #3.
thread #2 uses a given aggregation function that stores the data in another place in memory
Those two threads seems unnecessary. Thread #2 can read data passed by thread #1, aggregate and send it out?
I am unable to think of another solution that is not using locks on the data itself
Have a look at the lockless queues which are called "rings" in DPDK. The idea is to have a common circular buffer between threads and use lockless algorithms to enqueue/dequeue to/from the buffer.
We currently want to ensure version 2.0 at least is possible to work with 12 Streams (hence 12000 packets per second), however previously the server was able to manage 84 Streams.
Measure the performance and find the bottlenecks (seems your are still not 100% sure what is the bottleneck in the code).
Just for the reference, Intel publishes the performance reports for DPDK. Those reference numbers for L3 forwarding (i.e. routing) are up to 30 million packet per second.
Sure, you might have less powerful processor and NIC, but few millions packets per second are reachable quite easily using the right techniques.

Processing simultaneous data from multiple sockets

I have a C program running on Linux that will receive data from 4 different IP addresses, on the same UDP port every 250mS (4 times a second). The data coming in on each socket is no more than 120 bytes per socket, and uses UDP. My question is, if I use the select() Linux call, would I be able to process all the data without missing any if the data arrives on the sockets at the same time? Would I have to use Pthreads instead?
If I do use select() would I just have to dump the data into buffers every 250mS then process it after I receive all four sockets data from select()? Assuming the processing can be completed within 250mS which it should only take 10mS or less.

Receiving RAW socket packets with microseconds level accuracy

I am writing a code, which receives raw ethernet packets (no TCP/UDP) every 1ms from the server. For every packet received, my application has to reply with 14 raw packets. If the server doesn't receive the 14 packets before it sends it's packet scheduled for every 1ms, then the server raises an alarm and the application has to break out. The server-client communication is a one to one link.
The server is a hardware (FPGA) which generates packets at precise 1ms interval. The client application runs on a Linux (RHEL/Centos 7) machine with 10G SolarFlare NIC.
My first version of code is like this
while(1)
{
while(1)
{
numbytes = recvfrom(sockfd, buf, sizeof(buf), 0, NULL, NULL);
if(numbytes > 0)
{
//Some more lines here, to read packet number
break;
}
}
for (i=0;i<14;i++)
{
if (sendto(sockfd,(void *)(sym) , sizeof(sym), 0, NULL, NULL) < 0)
perror("Send failed\n");
}
}
I measure the receive time by taking timestamps (using clock_gettime) before the recvfrom call and one after it, I print the time differences of these timestamps and print them whenever the time difference exceeds allowable range of 900-1100 us.
The problem I am facing is that the packet receive time is fluctuating.Something like this (the prints are in microseconds)
Decode Time : 1234
Decode Time : 762
Decode Time : 1593
Decode Time : 406
Decode Time : 1703
Decode Time : 257
Decode Time : 1493
Decode Time : 514
and so on..
And sometimes the decode times exceed 2000us and application would break.
In this situation, application would break anywhere between 2 seconds to a few minutes.
Options tried by me till now.
Setting affinity to a particular isolated core.
Setting scheduling priorities to maximum with SCHED_FIFO
Increase socket buffer sizes
Setting network interface interrupt affinity to the same core which processes application
Spinning over recvfrom using poll(),select() calls.
All these options give a significant improvement over initial version of code. Now the application would run for ~1-2 hours. But this is still not enough.
A few observations:
I get a a huge dump of these decode time prints, whenever I take ssh sessions to Linux machine while the application is running (which makes me think network communication over other 1G Ethernet interface is creating interference with the 10G Ethernet interface).
The application performs better in RHEL (run times of about 2-3 hours) than Centos (run times of about 30 mins - 1.5 hours)
The run times is also varying with Linux machines with different hardware configurations with same OS.
Please suggest if there are any other methods to improve the run-time of the application.
Thanks in advance.
First, you need to verify the accuracy of the timestamping method; clock_gettime. The resolution is nanoseconds, but the accuracy and precision is in question. That is not the answer to your problem, but informs on how reliable the timestamping is before proceeding. See Difference between CLOCK_REALTIME and CLOCK_MONOTONIC? for why CLOCK_MONOTONIC should be used for your application.
I suspect the majority of the decode time fluctuation is either due to a variable number of operations per decode, context switching of the operating system, or IRQs.
Operations per decode I cannot comment on since the code has been simplified in your post. This issue can also be profiled and inspected.
Context switching per process can be easily inspected and monitored https://unix.stackexchange.com/a/84345
As Ron stated, these are very strict timing requirements for a network. It must be an isolated network, and single purpose. Your observation regarding decode over-time when ssh'ing indicates all other traffic must be prevented. This is disturbing, given separate NICs. Thus I suspect IRQs are the issue. See /proc/interrupts.
To achieve consistent decode times over long intervals (hours->days) will require drastically simplifying the OS. Removing unnecessary processes and services, hardware, and perhaps building your own kernel. All for the goal of reducing context switching and interrupts. At which point a real-time OS should be considered. This will only improve the probability of consistent decode time, not guarantee.
My work is developing a data acquisition system that is a combination of FPGA ADC, PC, and ethernet. Inevitably, the inconsistency of a multi-purpose PC means certain features must be moved to dedicated hardware. Consider the Pros/Cons of developing your application for PC versus moving it to hardware.

How to optimize number of threads needed

I am building an UDP port scanner in C.
This is a scheme of the code
Create Socket
Structure raw UDP packet with port i
Send packet and wait n miliseconds for reply
I need to perform those tasks X times, depending on the number of ports to be scanned. It may be up to 65535 times.
My goal is to optimize resources, considering an i386 machine running under a 3.5.0-17-generic Linux kernel.
How many threads should be created?
How many packets should be sent inside a single thread?
Thanks for your attention.
One thread, using select, epoll or similar.
All of them. Remember to rate limit since that doesn't happen automatically with UDP.

Socket client/server input/output polling vs. read/write in linux

Basically I set up a test to see which method is the fastest way to get data from another computer my network for a server with only a few clients(10 at max, 1 at min).
I tried two methods, both were done in a thread/per client fashion, and looped the read 10000 times. I timed the loop from the creation of the threads to the joining of the threads right after. In my threads I used these two methods, both used standard read(2)/write(2) calls and SOCK_STREAM/AF_INET:
In one I polled for data in my client reading(non blocking) whenever data was available, and in my server, I instantly sent data whenever I got a connection. My thread returned on a read of the correct number of bytes(which happened every time).
In the other, my client sent a message to the sever on connect and my server sent a message to my client on a read(both sides blocked here to make this more turn-based and synchronous). My thread returned after my client read.
I was pretty sure polling would be faster. I made a histogram of times to complete threads, and, as expected, polling was faster by a slight margin, but two things were not expected about the read/write method. Firstly, the read/write method gave me two distinct time spikes. I.E. some event sometimes occurred which would slow the read/write down by about .01 microseconds. I ran this test on a switch initially, and thought this may be a collision of packets, but then I ran the server and client on the same computer and still got these two different time spikes. Anyone know what event may be occurring?
The other, my read function returned too many bytes sometimes, and some bytes were garbage. I know streams don't guarantee you'll get all the data correctly, but why would the read function return extra garbage bytes?
Seems you are confusing the purpose of these two alternatives:
Connection per thread approach does not need polling (unless your protocol allows for random sequence of messages either way, which would be very confusing to implement). Blocking reads and writes will always be faster here since you skip one extra system call to select(2)/poll(2)/epoll(4).
Polling approach allows to multiplex I/O on many sockets/files in single-threaded or fixed-number-of-threads setup. This is how web-servers like nginx handle thousands of client connections in very few threads. The idea is that wait on any given file descriptor does not block others - wait on all of them.
So I would say you are comparing apples and goblins :) Take a look here:
High Performance Server Architecture
The C10K problem
libevent
As for the spikes - check if TCP gets into re-transmission mode, i.e. one of the sides is not reading fast enough to drain receive buffers, play with SO_RCVBUF and SO_SNDBUF socket options.
Too many bytes is definitely wrong - looks like API misuse - check if you are comparing signed and unsigned numbers, compile with high warning level.
Edit:
Looks like you are between two separate issues - data corruption and data transfer performance. I would strongly recommend focusing on the first one before tackling the second. Reduce the test to a minimum and try to figure out what you are doing wrong with the sockets. i.e. where's that garbage data comes from. Do you check return values of the read(2) and write(2) calls? Do you share buffers between threads? Paste the reduced code sample into the question (or provide a link to it) if really stuck.
Hope this helps.
I know streams don't guarantee you'll get all the data correctly, but why would the read function return extra garbage bytes?
Actually, streams do guarantee you will get all the data correctly, and in order. Datagrams (UDP) are what you were thinking of, SOCK_DGRAM, which is not what you are using. Within AF_INET, SOCK_STREAM means TCP and TCP means reliable.

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