How good are deterministic fluid models of Internet congestion control?

Proceedings - IEEE INFOCOM

Volumn 2, Issue , 2002, Pages 497-505

  Shakkottai, Sanjay ^a   Srikant, R ^a  

^a University of Illinois at Urbana Champaign   (United States)

Author keywords

Congestion control with delay; Fluid models; Many flows limit

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; DIFFERENTIAL EQUATIONS; INTERNET; MATHEMATICAL MODELS; NETWORK PROTOCOLS; STOCHASTIC CONTROL SYSTEMS;

DETERMINISTIC FLUID MODELS; DETERMINISTIC FUNCTIONAL DIFFERENTIAL EQUATIONS;

CONGESTION CONTROL (COMMUNICATION);

EID: 0036343635     PISSN: 0743166X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Random early marking for internet congestion control
2. Random early detection gateways for congestion avoidance
3. On designing improved controllers for AQM routers supporting TCP flows
4. End-to-end congestion control for the internet: Delays and stability
5. Charging and rate control for elastic traffic
6. Rate control in communication networks: Shadow prices, proportional fairness and stability
7. End-to-end congestion control: Utility functions, random losses and ECN marks
8. A time-scale decomposition approach to adaptive ECN marking
9. Analysis and design of an adaptive virtual queue marking algorithm for active queue management
10. Solutions of ordinary differential equations as limits of pure jump markov processes
11. Stability of distributed congestion control with heterogeneous feedback delays
12. A proposal to add explicit congestion notification (ECN) to IP
13. Bounds for utility function based congestion controllers in the presence of delay
14. Mean FDE models for internet congestion control under a many-flows regime
15. On the stability of end-to-end congestion control for the internet
16. Global fairness of additive-increase and multiplicative-decrease with heterogeneous round-trip times