Mechanisms that directly influence network throughput

Opinion
Jun 28, 20052 mins

* TCP flow control

We previously wrote a newsletter about the TCP window size (see link below). The responses we received to that newsletter convinced us that we should occasionally devote future newsletters to detailing other WAN optimization technologies. 

With that in mind, the next three newsletters will discuss some flow and congestion control mechanisms that are used within TCP. One of the reasons that these mechanisms are important is that they directly influence network throughput.

In a perfect world, there would be no need for flow or congestion control mechanisms. The sending device would transmit packets as quickly as it could, the packets would all be delivered in order and without unexpected delay, and the receiving device could quickly process as many packets as the sending device could send.

However, since that is not a realistic situation, TCP has mechanisms that account for two of the key factors that determine the performance of a TCP/IP network. Those factors being the ability of the receiving device to accept data, and the amount of congestion that exists within the network.

In order to account for the ability of the receiving device to accept data, TCP has a flow control mechanism for each connection. Each segment header contains a field called “advertised window” that indicates how many additional bytes of data the receiver can accept. The sending device is not allowed to send more bytes than the advertised window.

The next newsletter will outline some of TCP’s congestion control mechanisms and will discuss their relationship to flow control.

Jim has a broad background in the IT industry. This includes serving as a software engineer, an engineering manager for high-speed data services for a major network service provider, a product manager for network hardware, a network manager at two Fortune 500 companies, and the principal of a consulting organization. In addition, Jim has created software tools for designing customer networks for a major network service provider and directed and performed market research at a major industry analyst firm. Jim’s current interests include both cloud networking and application and service delivery. Jim has a Ph.D. in Mathematics from Boston University.

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