Abstract
The Datagram Congestion Control Protocol (DCCP) is a multi-purpose transport protocol that does not preserve reliability of transmission. The DCCP was intended to convey large amounts of data, especially in the real-time - which makes it suitable for real-time multimedia applications. Consequently, the RTP/DCCP protocol stack can be used for data transmission (instead of the RTP/UDP protocol stack, typically used during the transmission of real-time multimedia), when the DCCP works in mode CCID 3 (TCP-Friendly Rate Control, TFRC).
However, the TFRC manifests strong equality towards competing TCP flows, which (in some situations) can lead to the degradation of the multimedia stream transmitted over the TFRC. In this paper we describe the light-weight congestion control mechanism, previously designed by the Authors for TFRC-based real-time multimedia communication. The mechanism is based on the TFRCs congestion control, in which the original TFRCs throughput equation was substituted with a linear throughput equation. The mechanism that was introduced for the DCCP implementation and the results of experiments carried out in a mixed (real and emulated) network show that this type of congestion control is more suitable for multimedia than the DCCP working in the standard CCID 3 mode.
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Notes
- 1.
The UDP is not congestion controlled at all. The RTP also isn’t congestion controlled, however it supports media translators, which usually are placed at the boundary of high-speed and slow network. Translators lower bit rate of transmitted stream and make it available for low-speed clients.
- 2.
The UDP is not error controlled at all. The DCCP assures only reliable negotiation of options and reliable congestion notification, as well as transmits full signalling information about packet losses.
- 3.
A group of internet protocols in the Linux system.
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Acknowledgment
The work was supported by the contract 11.11.230.018.
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Chodorek, R.R., Chodorek, A. (2018). Light-Weight Congestion Control for the DCCP Protocol for Real-Time Multimedia Communication. In: Gaj, P., Sawicki, M., Suchacka, G., Kwiecień, A. (eds) Computer Networks. CN 2018. Communications in Computer and Information Science, vol 860. Springer, Cham. https://doi.org/10.1007/978-3-319-92459-5_5
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