A Self-Tuning Multicast Flow Control Scheme Based on Autonomic Technology

With the increase of multicast data applications, research interests have focused on the design of congestion control schemes for multicast communications. This paper describes a novel control-theoretic multicast congestion control scheme, which is based on the distributed self-tuning proportional plus integrative (SPI) controller. The control parameters can be designed to ensure the stability of the control loop in terms of source rate. The distributed explicit rate SPI overcomes the vulnerability that suffers from the heterogeneous multicast receivers. It is suggested that the congestion controller is located at the multipoint-to-multipoint multicast source to regulate the transmission rate. We further analyze the theoretical aspects of the proposed algorithm, and show how the control mechanism can be used to design a controller to support multicast transmissions. Simulation results demonstrate the efficiency of the proposed scheme in terms of system stability and fast response of the buffer occupancy, as well as controlled sending rates, low packet loss, and high scalability

[1]  Xi Zhang,et al.  Statistical analysis of feedback-synchronization signaling delay for multicast flow control , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[2]  Naixue Xiong,et al.  A Self-tuning Reliable Dynamic Scheme for Multicast Flow Control , 2006, UIC.

[3]  Srinivasan Keshav,et al.  A control-theoretic approach to flow control , 1991, SIGCOMM '91.

[4]  Kai-Yeung Siu,et al.  On Max-Min Fair Congestion Control for Multicast ABR Service in ATM , 1997, IEEE J. Sel. Areas Commun..

[5]  Luigi Rizzo,et al.  pgmcc: a TCP-friendly single-rate multicast congestion control scheme , 2000, SIGCOMM.

[6]  Lotfi Benmohamed,et al.  Feedback control of congestion in packet switching networks: the case of multiple congested nodes , 1997, Int. J. Commun. Syst..

[7]  Marcel Waldvogel,et al.  A rate-based end-to-end multicast congestion control protocol , 2000, Proceedings ISCC 2000. Fifth IEEE Symposium on Computers and Communications.

[8]  Raj Jain,et al.  ERICA Switch Algorithm: A Complete Description , 1996 .

[9]  Naixue Xiong,et al.  An efficient flow control algorithm for multi-rate multicast networks , 2004, 2004 IEEE International Workshop on IP Operations and Management.

[10]  Katia Obraczka,et al.  Multicast feedback suppression using representatives , 1997, Proceedings of INFOCOM '97.

[11]  You-Ze Cho,et al.  An efficient rate-based algorithm for point-to-multipoint ABR service , 1997, GLOBECOM 97. IEEE Global Telecommunications Conference. Conference Record.

[12]  Liansheng Tan,et al.  Rate-based congestion control in ATM switching networks using a recursive digital filter , 2003 .

[13]  Franco Blanchini,et al.  Robust rate control for integrated services packet networks , 2002, TNET.

[14]  Stephen E. Deering,et al.  Host extensions for IP multicasting , 1986, RFC.

[15]  Semyon M. Meerkov,et al.  Feedback control of congestion in packet switching networks: the case of a single congested node , 1993, TNET.

[16]  Bhaskar Krishnamachari,et al.  On multicast flow control for heterogeneous receivers , 2002, TNET.

[17]  Xi Zhang,et al.  Scalable flow control for multicast ABR services in ATM networks , 2002, TNET.

[18]  Jong-Tae Lim,et al.  Multicast ABR service in ATM networks using a fuzzy-logic-based consolidation algorithm , 2001 .

[19]  Mika Ishizuka,et al.  Performance issues in public ABR service , 1996 .

[20]  Lotfi Benmohamed,et al.  Feedback control of congestion in packet switching networks: the case of multiple congested nodes , 1997 .

[21]  Aleksandar Kolarov,et al.  A control-theoretic approach to the design of an explicit rate controller for ABR service , 1999, TNET.