With the popularity boom of internet and intranet based software solutions, and the push for more Service Oriented Architecture (SOA) systems, network software usage is at an all time high. Of course, many of the systems created are built upon highly abstracted frameworks, so they don’t have to worry much about sockets. However, there is a high demand for working on those frameworks and internal networking software that requires a deep knowledge of network systems and pushing the speed limits on the same hardware.

In a previous life, I worked on high speed trading software where our traders worried about millisecond delays. We pushed and received so much data that a standard TCP/UDP system could not come close to keeping up, even on multicore machines with gigabit connections. What this describes is a post-mortem of my learning process.

One of the downsides of the huge popularity in networking is that at a certain point, the hardware and firmware guys took away our control. Most of the network stack is done directly on the network hardware with the help of the device drivers running in kernel space of the operating system. This gives the benefit of “hardware acceleration” at the cost of customizability. While code can be written to operate at lower layers than the transport layer, most of the time these will run slower due to multiple layers of abstraction from the hardware. We will focus instead on working with what is given.

There are large and expensive packages that try to solve these problems from companies such as Tibco and 29West. From my time working with them, they are worth every penny if you can afford it and you work in a problem space that requires that level of throughput. However, for us peons, we have some options that can help improve our throughput speeds.

Now, I spend all my time giving examples and micro benchmarks of all possible optimizations I’m offering, but what I’ve found is that networking is a little bit like black magic. There are so many variables involved that determine final output speed that my benchmarks will not match anything you create, even if we use the same exact algorithms. Things such as network latency, number of hops, solar flares, the number of flaps of a butterfly’s wings while traveling from tree to tree outside your window; all cause random differences. Don’t focus too much on the numbers involved with network programming, but instead focus on the concepts.

UDP for speed

The first thing you learn when trying to do high speed networking is that you should pull out UDP. This is an obvious choice due to the fact that there is no overhead of acknowledge (ACK) packets that come with other reliable transport services. You will find that most real-time games use UDP because it can push out the raw speed with minimal delay.

This is because UDP packets are about as raw as you can get on standard home and commercial hardware. There is no flow control, no delivery confirmations, and no guarantee that the packets even arrive in the same order.

UDP is good for fast, streaming data. When you care more for fast packet delivery than you do for guaranteeing that older packets arrive. You’ll commonly find it being used for streaming video since that data has hard real-time requirements for delivery. Video codecs normally have error correction built into the algorithms because they know they will lose packets.

In the trading world, stale price quotes were normally worthless when newer quotes were available. We streamed price quotes as UDP datagrams because we only cared about up to date pricing. We did lose packets, especially on huge bursts of data, but that was okay in moderation.

TCP for reliability

Not all data is so easily ignored, however. Most data requires guaranteed delivery. Just think, if you were browsing your favorite site and small chunks of data were missing from the page and every once in a while an image was mangled.

TCP gives the client server an agreement on the data. The data will arrive on the receiver’s side, the data will arrive in order, and the data will be correct. This is great for files, especially larger ones that require multiple packets to send it in whole. The receiving software won’t need to worry about those issues and can use the connection to stream data in correct order. If you need reliability, you won’t find any protocol that beats TCP on protocol availability and data validity.

The price of those guarantees is great, though. If you need any type of throughput, you will find yourself lagging. When I was building a prototype phone for Motorola, we were using a PC to take readings from multiple sensors on a phone over an 802.11 wireless connection for real-time and post processing. The data wasn’t all that large or fast, but we constantly got lagged responses because TCP would hold us up. Because we didn’t have time to rebuild it for UDP reliably before a demo, I would SSH into the phone while someone demonstrated it and would reset the socket connection every few minutes while he was holding it to get it back working reliably. “Ignore the man behind the curtain.”

TCP includes a buffer called the “sliding window protocol” buffer. It will hold a certain number of packets in order on the receiving side so it can send them off to the client software properly. This buffer is quite small and can be easily overflowed, especially on an unreliable network connection such as wireless. When that happens, the protocol will start throwing away perfectly good packets it receives until it can catch back up. This was what was happening on our phone prototype. While our network monitor showed great throughput, most of the packets were being thrown away because of one single missing or bad packet. We also lost throughput since the flow controller would start backing off on the speed until the PC could keep up.

Join the two sides

We have these two two popular protocols that seem to be mutually exclusive. Nothing can be further from the truth. Instead, you should join forces and use both protocols, just on separate connections. Have your stream of unreliable data on one UDP connection and the rest of your data on TCP connections.

Operating systems and network hardware have built in mechanism, called “Quality of Service,” to actually slow down a single connection so one hoggy connection cannot take over an entire network (although how well this works hugely depends on the quality of their QoS algorithm). Yes, this is an over exaggeration of the truth, but it presents the idea simply. To increase throughput despite QoS systems, you should increase the number of connections. On a side note, including multiple TCP connections also increases the size of your sliding window buffer by a multiple of the number of connections.

Threaded service

This is probably the most important piece, that I question putting it way at the bottom of this article. When you write a socket program, what do you do with a packet the instance you receive it? If you said anything besides buffering it into a queue, you are doing it completely wrong.

The sockets library has an odd system for how you access the receive buffer. Instead of receiving a notice that a packet is available to grab, we are notified that the receive (Rx) buffer is ready to be read, and only if we specifically ask to be notified for the next available stream of bytes. What this means is the data will stay within the network buffer until you go and read it. And while you are reading from the socket, you could be (and will be, at a certain throughput) losing data.

To minimize this data loss, you need to take the data off the network stream, put it directly on your internal packet queue, and enqueue another asynchronous (or threaded synchronous) read. Don’t try to parse the data. Don’t try to analyze what packet you just received. Don’t even create a byte array to host the new packet. Just pull the packet and put it in your queue. Many asynchronous socket libraries (such as ASIO) require a buffer to place the data within, so make sure you have those packet buffers already created. Use a memory pool of byte arrays if needed. Reuse these buffers as much as you can.

The quicker you get to the next read statement, the less likely you will lose packets. Although I would love to see multiple queued up reads available from the socket library (you can do this over USB, for example. I once queued up 10,000 reads simultaneously over USB to max our throughput.), it doesn’t yet seem available.

Even if you use a non-blocking library such as I/O Completion Ports (IOCPs), you need to follow these same rules because the same results will occur. At the trading firm, we would normally lose packets when using IOCPs because we had the same thread reading from the socket along with parsing them out. Non blocking APIs still have to follow the same rules we do, so don’t expect that using one will allow you to ignore these issues.

Oh, and by all means, never use the UI thread to do any networking. You’ll find that just drawing to the display can cause networking problems due to the delays.

TLDR: Too long. Didn’t Read