Efficient congestion control mechanism for flow-aware networks

Transmission based on flows becomes more and more popular in teleinformatics networks. To guarantee proper quality of service, to enable multipath transmissions, or just to increase transmission effectiveness in a network, traffic should be sent as flows. Flow-aware networking architecture is one of the possible concepts to realize flow-based transmissions. In this paper, the efficient congestion control mechanism ECCM is proposed to improve transmission in flow-aware networks FAN. The mechanism makes it possible to minimize acceptance delay of streaming flows served with high priority without deteriorating other transmissions in the network. It is confirmed by simulation experiments that the implementation of FAN with the ECCM mechanism is a promising solution for the Future Internet. Copyright © 2015 John Wiley & Sons, Ltd.

[1]  Liang Zhou,et al.  QoS-aware fair packet scheduling in IEEE 802.16 wireless mesh networks , 2010, Int. J. Commun. Syst..

[2]  Andrzej Jajszczyk,et al.  Approximate Flow-Aware Networking , 2009, 2009 IEEE International Conference on Communications.

[3]  A. Kortebi,et al.  On the Scalability of Fair Queueing , 2004 .

[4]  Robert Wójcik,et al.  Reliable Transmission in Flow-Aware Networks , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[5]  A. Kortebi,et al.  Cross-protect: implicit service differentiation and admission control , 2004, 2004 Workshop on High Performance Switching and Routing, 2004. HPSR..

[6]  Nirwan Ansari,et al.  Congestion Control in Wireless Flow-Aware Networks , 2011, 2011 IEEE International Conference on Communications (ICC).

[7]  Robert Wójcik,et al.  The cross-protect router: implementation tests and opportunities , 2014, IEEE Communications Magazine.

[8]  Sheau-Ru Tong,et al.  Adaptive Transmission Control Protocol-trunking flow control mechanism for supporting proxy-assisted video on demand system , 2012, Int. J. Commun. Syst..

[9]  James Aweya,et al.  Limitations of current Ethernet switch architectures for enhanced flow control and service differentiation , 2009, Int. J. Netw. Manag..

[10]  Farnam Jahanian,et al.  Internet inter-domain traffic , 2010, SIGCOMM '10.

[11]  Andrzej Jajszczyk,et al.  QoS-Aware Net Neutrality , 2009, 2009 First International Conference on Evolving Internet.

[12]  Jerzy Domzal.  Intelligent routing in congested Approximate Flow-Aware Networks , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[13]  Yasir Saleem,et al.  Network Simulator NS-2 , 2015 .

[14]  Raluca-Maria Indre,et al.  Building a transparent optical wide area network with multipaths , 2013 .

[15]  D. Cuda,et al.  Building a low-energy transparent optical wide area network with "multipaths" , 2013, IEEE/OSA Journal of Optical Communications and Networking.

[16]  Víctor López,et al.  EFMP – a new congestion control mechanism for flow‐aware networks , 2014, Trans. Emerg. Telecommun. Technol..

[17]  Izhak Rubin,et al.  Max-min utility fair flow management for networks with route diversity , 2010, Int. J. Netw. Manag..

[18]  Giovanna Carofiglio,et al.  On the Impact of TCP and Per-Flow Scheduling on Internet Performance , 2012, IEEE/ACM Transactions on Networking.

[19]  Andrzej Jajszczyk,et al.  New Congestion Control Mechanisms for Flow-Aware Networks , 2008, 2008 IEEE International Conference on Communications.

[20]  Konstantinos Psounis,et al.  Approximate Fair Dropping for Variable-Length Packets , 2001, IEEE Micro.

[21]  Sándor Rácz,et al.  Flow‐level performance analysis of a multi‐rate system supporting stream and elastic services , 2013, Int. J. Commun. Syst..

[22]  QUTdN QeO,et al.  Random early detection gateways for congestion avoidance , 1993, TNET.