TFMCC versus ASMP: lessons learned from performance evaluation

  • Authors:

  • Georgios Kioumourtzis;Christos Bouras;Apostolos Gkamas

  • Affiliations:

  • Department of Computer Engineering and Informatics, University of Patras, 26500, Rion, PatrasGreece;Research Academic Computer Technology Institute, University of Patras, 26500, Rion, PatrasGreece;Research Academic Computer Technology Institute, University of Patras, 26500, Rion, PatrasGreece

  • Venue:
  • International Journal of Network Management
  • Year:
  • 2012

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Abstract

In this article we present a simulation-based comparison of one of the best-known multicast congestion control schemes—TCP-friendly Multicast Congestion Control (TFMCC)—against our proposed Adaptive Smooth Multicast Protocol (ASMP). ASMP consists of a single-rate multicast congestion control mechanism which takes advantage of the RTCP Sender (SR) and Receiver Reports (RR) in order to adjust the sender's transmission rate in respect of the network conditions. The innovation in ASMP lays in the ‘smooth’ transmission rate, which is TCP-friendly and prevents oscillations. We use an integrated simulation environment named Multi-Evalvid-RA for the evaluation of the two congestion control schemes. Multi-Evalvid-RA provides all the necessary tools to perform simulation studies and assess video quality by using both network-centric metrics along with video quality measurements. Performance evaluation results show that ASMP is a very efficient solution for rate-adaptive multimedia applications and a serious competitor to well-known TFMCC. Copyright © 2012 John Wiley & Sons, Ltd. (Uncontrolled video transmission without any flow/congestion control mechanisms should be avoided as it leads to poor-quality service due to packet losses. Therefore, moderate transmission rates that satisfy the video application requirements are preferable to avoid packet losses. Otherwise, error resilience mechanisms should be applied to recover from losses, especially from I-frames that cannot be recovered by the video decoders. More efficient video encoding techniques along with error resilience and higher access capacity are the key elements for increasing video quality.)