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You're reading from  Network Programming with Rust

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Published inFeb 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781788624893
Edition1st Edition
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Abhishek Chanda
Abhishek Chanda
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Abhishek Chanda

Abhishek Chanda studied computer science at IIEST Shibpur in India and electrical engineering at Rutgers University. He has been working on networking and distributed systems since 2008. Over his career, he has worked with large companies (like Microsoft and Dell) and small startups (Cloudscaling, DataSine) in India, US, and the UK. He is enthusiastic about open source software and has contributed to a number of projects like OpenStack, Nomad etc. He contributes to a number of open source projects. He came across Rust in 2015 and found it to be a perfect fit for writing highly performant systems.
Read more about Abhishek Chanda

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Common service models

For two hosts to communicate via a network, they will need to send messages to each other. There are two models of exchanging messages, and each has specific usecases where they work best. In this section, we will explore these. Note that the service models are properties of the protocols and that they set expectations around what a consumer should expect from them.

Connection-oriented service

The service a protocol provides to its consumers is connection oriented when each party involved negotiates a virtual connection before sending the actual data. During the setup process, a number of parameters about the connection must be agreed upon. This is analogous to the older wired telephone systems, where a dedicated connection is set up between the two hosts. In modern networks, an example is TCP. The PDU for TCP is a segment, which consists of a header and a data section. The header has a few fields which are used to transition between states of the protocol state machine. The next figure shows what the TCP header looks like in practice. Each of the rows in this figure are of 32 bits (thus, each row is two octets), and some are divided into multiple segments:

TCP header format

We will look at a few of these which are used for manipulating the connection between hosts:

  • Control bits (flags) are a set of 9 bits that are used for various purposes. The flags of interest here are SYN, ACK, FIN, and RST. SYN triggers a synchronization of sequence numbers. The ACK flag indicates that the receiver should care about the corresponding acknowledgment number. The FIN flag starts the process of tearing down a connection. The RST flag resets the connection in case of an error.
  • The sequence number is a 32-bit field which is used to reorder messages at the receiver. When the SYN flag is set (which should be the case only for the first packet in a connection), the sequence number is the initial sequence number; otherwise, it is the sequence number accumulated so far.
  • The acknowledgement number is a 32-bit field which is used to enable reliable delivery of messages. If the ACK flag is set, this value is the next sequence number that the sender is expecting.

Before two hosts running TCP can start exchanging data, they must do a three-way handshake to establish a connection. This works like this: the client that wants to initiate communication sends a SYN packet to the server. The sequence number is set to a random value and the SYN flag is set to 1. The server responds with a packet that has both SYN and ACK set to 1. This packet has the acknowledgment number set to one more than what it got from the client, and the sequence number is set to a random number. Finally, the client responds with a packet that has the ACK flag set, the sequence number set to the received acknowledgement number in the last step, and the acknowledgement number is set to one more than the sequence number in the previous step. After this is done successfully, both the client and the server have agreed on sequence and acknowledgement numbers. The advantage of this model is that is has a reliable connection where both the sender and the receiver knows what to expect. The sender can tune the rate of sending data, depending on how fast or slow the receiver is or how congested the network is. The disadvantage here is the higher connection setup costs. Assuming it takes 100 ms to send a packet to a host in another continent, we will need to exchange at least 3 packets before we can begin sending data. That amounts to a delay of 300 ms. While this might not look like a lot, remember that at any given point, a laptop being used for accessing Facebook might have thousands of connections open to servers all over the world. The connection oriented service model works fine for a large number of use cases, but there are a few cases where the overhead is either significant or unnecessary. An example is video streaming. In this case, a few missing packets do not cause a huge problem since no one notices a small number of misaligned pixels in the video. These applications prefer a connectionless model, as described below.

Connectionless service

The second case here is a connectionless service. This is used when multiple messages bear no relation to one another, and thus these protocols do not need any connection negotiation step before sending any data. An example of this is UDP, which provides no guarantees of the sequence or reliability of transmitted messages (it does, however, have a checksum field to guarantee the correctness of the datagram). One should note that the protocol running above UDP is always free to implement reliability if that is desired. Interestingly, IP routing is also a connectionless service. The UDP header is shown as follows:

UDP header format

It's easy to see that the header here is far smaller than a TCP header. It also lacks a number of fields that TCP uses to manage the connection and tune it according to network congestion and so on. Since UDP does not have those fields, it cannot provide those guarantees.

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Author (1)

author image
Abhishek Chanda

Abhishek Chanda studied computer science at IIEST Shibpur in India and electrical engineering at Rutgers University. He has been working on networking and distributed systems since 2008. Over his career, he has worked with large companies (like Microsoft and Dell) and small startups (Cloudscaling, DataSine) in India, US, and the UK. He is enthusiastic about open source software and has contributed to a number of projects like OpenStack, Nomad etc. He contributes to a number of open source projects. He came across Rust in 2015 and found it to be a perfect fit for writing highly performant systems.
Read more about Abhishek Chanda