Revenue-maximizing pricing and capacity expansion in a many-users regime

Proceedings - IEEE INFOCOM

Volumn 1, Issue , 2002, Pages 294-301

  Başar, Tamer ^a   Srikant, R ^a  

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

Author keywords

Capacity expansion; Congestion control; Many users limit; Pricing; Quality of service

Indexed keywords

CHANNEL CAPACITY; COMPUTER SIMULATION; CONGESTION CONTROL (COMMUNICATION); COST BENEFIT ANALYSIS; FEES AND CHARGES; GAME THEORY; MATHEMATICAL MODELS; NETWORK PROTOCOLS; OPTIMIZATION; QUALITY OF SERVICE; TELECOMMUNICATION LINKS;

CAPACITY EXPANSION; MANY USERS LIMIT; REVENUE MAXIMIZING PRICING;

QUEUEING NETWORKS;

EID: 0036346298     PISSN: 0743166X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. Large deviations, economies of scale, and the shape of the loss curve in large multiplexers
2. Nash equilibria for combined flow control and routing in networks: Asymptotic behavior for a large number of users
3. Competitive routing in networks with polynomial costs
4. End-to-end congestion control for the internet: Delays and stability
5. Resource pricing and the evolution of congestion control
6. Models for a self-managed internet
7. Mathematical modelling of the internet
8. Rate control in communication networks: Shadow prices, proportional fairness and stability
9. Architecting noncooperative networks
10. Achieving network optima using Stackelberg routing strategies
11. End-to-end congestion control: Utility functions, random losses and ECN marks
12. Analysis and design of an adaptive virtual queue algorithm for active queue management
13. A time-scale decomposition approach to adaptive ECN marking
14. Optimal routing control: A game theoretic approach
15. Optimization flow control, I: Basic algorithm and convergence
16. Stability of distributed congestion control with heterogeneous feedback delays
17. Competitive routing in multiuser communication networks
18. Scalable laws for stable network congestion control
19. Mean FDE models for internet congestion control under a many-flows regime. 2001
20. On the stability of end-to-end congestion control for the internet