Providing Proportional Loss Rate for Adaptive Traffic : A New Relative DiffServ Model (Special Issue on Internet Technology II)

Most applications can adapt their coding techniques and sending rates according to the network congestion and the resource needed can be provided at the beginning of the transmission. So traditional Differentiated Services (DiffServ) model is too rigid to them. In this paper, we are seeking a balance between the relative DiffServ and the absolute DiffServ and propose a new Diffserv model, a relative Differentiated Service model with admission control, which suits the adaptive application. By providing the proportional differentiated services in core routers and loss-rate based CAC control in edge routers, we can make both the network and the users adaptive: the network is adaptive to the traffic load and the users is adaptive to the network congestion. This model is promising to the elastic but unpredictable traffic, such as IP telephony or other multimedia applications. key words: Di Serv, QoS, CAC

[1]  K. K. Ramakrishnan,et al.  A Proposal to add Explicit Congestion Notification (ECN) to IP , 1999, RFC.

[2]  Kihong Park,et al.  On the relationship between file sizes, transport protocols, and self-similar network traffic , 1996, Proceedings of 1996 International Conference on Network Protocols (ICNP-96).

[3]  Walter Willinger,et al.  On the Self-Similar Nature of Ethernet Traffic ( extended version ) , 1995 .

[4]  David L. Black,et al.  An Architecture for Differentiated Service , 1998 .

[5]  Fred Baker,et al.  Assured Forwarding PHB Group , 1999, RFC.

[6]  Deborah Estrin,et al.  Recommendations on Queue Management and Congestion Avoidance in the Internet , 1998, RFC.

[7]  Wu-chang Fengy,et al.  BLUE: A New Class of Active Queue Management Algorithms , 1999 .

[8]  Dilip D. Kandlur,et al.  Adaptive packet marking for maintaining end-to-end throughput in a differentiated-services internet , 1999, TNET.

[9]  Parameswaran Ramanathan,et al.  Proportional differentiated services: delay differentiation and packet scheduling , 2002, TNET.

[10]  Andrew Smith,et al.  An Informal Management Model for Diffserv Routers , 2002, RFC.

[11]  Deborah Estrin,et al.  RAP: An end-to-end rate-based congestion control mechanism for realtime streams in the Internet , 1999, IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320).

[12]  Parameswaran Ramanathan,et al.  Proportional differentiated services: delay differentiation and packet scheduling , 1999, SIGCOMM '99.

[13]  Parameswaran Ramanathan,et al.  A case for relative differentiated services and the proportional differentiation model , 1999, IEEE Netw..

[14]  David D. Clark,et al.  Explicit allocation of best-effort packet delivery service , 1998, TNET.

[15]  Vaduvur Bharghavan,et al.  Delay differentiation and adaptation in core stateless networks , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[16]  Zheng Wang,et al.  An Architecture for Differentiated Services , 1998, RFC.

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