Weighted proportional loss rate differentiation of TCP traffic

ABSTRACT

Relative service differentiation refers to service models that provide assurances for the relative quality ordering between classes, rather than for the absolute service level in each class. An example is the proportional differentiation model which provides a way to control the quality spacing between classes locally at each hop. In this model, certain forwarding metrics are ratioed proportional to the class differentiation parameters that the network operator chooses. In this paper, we propose a new proportional loss rate differentiation mechanism that integrates relative loss rate differentiation directly into active queue management using random early detection.

REFERENCES

• 1: 1. Dovrolis C, Ramanathan P. A case for relative differentiated services and the proportional differentiated model. IEEE Network, Sept./Oct. 1999, pp. 26-34.
• 2: Constantinos Dovrolis , Dimitrios Stiliadis , Parameswaran Ramanathan, Proportional differentiated services: delay differentiation and packet scheduling, Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication, p.109-120, August 30-September 03, 1999, Cambridge, Massachusetts, United States
• 3: Constantinos Dovrolis , Dimitrios Stiliadis, Relative differentiated services in the Internet: issues and mechanisms, Proceedings of the 1999 ACM SIGMETRICS international conference on Measurement and modeling of computer systems, p.204-205, May 01-04, 1999, Atlanta, Georgia, United States
• 4: 4. Dovrolis C, Ramanathan P. Proportional differentiated services, Part II: Loss rate differentiation and packet dropping, Proc. 2000 Int. Workshop on Quality of Service (IWQoS), Pittsburg PA, June 2000.
• 5: Sally Floyd , Van Jacobson, Random early detection gateways for congestion avoidance, IEEE/ACM Transactions on Networking (TON), v.1 n.4, p.397-413, Aug. 1993 [doi>10.1109/90.251892]
• 6: 6. Braden B, Clark D, Crowcroft J, Davie B, Estrin D, Floyd S, Jacobson V, Minshall G, Partridge C, Peterson L, Ramakrishnan KK, Shenker S, Wroclawski J, Zhang L. Recommendation on queue management and congestion avoidance in the Internet, IETF RFC 2309, Apr. 1998.
• 7: James Aweya , Michel Ouellette , Delfin Y. Montuno, A control theoretic approach to active queue management, Computer Networks: The International Journal of Computer and Telecommunications Networking, v.36 n.2-3, p.203-235, July 2001 [doi>10.1016/S1389-1286(00)00206-1]
• 8: 8. Aweya J, Ouellette M, Montuno DY. An optimization-oriented view random early detection, Computer Communications , Vol. 24, No. 12, July 2001, pp. 1170-1187.
• 9: Gene F. Franklin , Abbas Emami-Naeini , J. David Powell, Feedback Control of Dynamic Systems, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1993

INDEX TERMS

Primary Classification:
  C. Computer Systems Organization
  C.2 COMPUTER-COMMUNICATION NETWORKS
      C.2.3 Network Operations
          Subjects: Network management

Additional Classification:
  C. Computer Systems Organization
  C.2 COMPUTER-COMMUNICATION NETWORKS
      C.2.1 Network Architecture and Design
          Subjects: Network communications
      C.2.2 Network Protocols

          Nouns: TCP/IP
  C.4 PERFORMANCE OF SYSTEMS
      Subjects: Performance attributes

General Terms:
Algorithms, Design, Experimentation, Performance