Efficiency loss in a network resource allocation game: the case of elastic supply

We consider a resource allocation problem where individual users wish to send data across a network to maximize their utility, and a cost is incurred at each link that depends on the total rate sent through the link. It is known that as long as users do not anticipate the effect of their actions on prices, a simple proportional pricing mechanism can maximize the sum of users' utilities minus the cost (called aggregate surplus). Continuing previous efforts to quantify the effects of selfish behavior in network pricing mechanisms, we consider the possibility that users anticipate the effect of their actions on link prices. Under the assumption that the links' marginal cost functions are convex, we establish existence of a Nash equilibrium. We show that the aggregate surplus at a Nash equilibrium is no worse than a factor of 4/spl radic/2-5 times the optimal aggregate surplus; thus, the efficiency loss when users are selfish is no more than approximately 34%.

[1]  J. Goodman Note on Existence and Uniqueness of Equilibrium Points for Concave N-Person Games , 1965 .

[2]  Scott Shenker,et al.  Fundamental Design Issues for the Future Internet (Invited Paper) , 1995, IEEE J. Sel. Areas Commun..

[3]  Ilya Segal,et al.  Solutions manual for Microeconomic theory : Mas-Colell, Whinston and Green , 1997 .

[4]  John N. Tsitsiklis,et al.  Introduction to linear optimization , 1997, Athena scientific optimization and computation series.

[5]  Frank Kelly,et al.  Charging and rate control for elastic traffic , 1997, Eur. Trans. Telecommun..

[6]  Frank Kelly,et al.  Rate control for communication networks: shadow prices, proportional fairness and stability , 1998, J. Oper. Res. Soc..

[7]  Christos H. Papadimitriou,et al.  Worst-case equilibria , 1999 .

[8]  Richard J. Gibbens,et al.  Resource pricing and the evolution of congestion control , 1999, at - Automatisierungstechnik.

[9]  Michael Devetsikiotis,et al.  An overview of pricing concepts for broadband IP networks , 2000, IEEE Communications Surveys & Tutorials.

[10]  Frank Kelly,et al.  Models for a self–managed Internet , 2000, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[11]  Rayadurgam Srikant,et al.  Analysis and design of an adaptive virtual queue (AVQ) algorithm for active queue management , 2001, SIGCOMM.

[12]  Steven H. Low,et al.  REM: active queue management , 2001, IEEE Netw..

[13]  Ramesh Johari,et al.  End-to-end congestion control for the internet: delays and stability , 2001, TNET.

[14]  Paul G. Spirakis,et al.  The price of selfish routing , 2001, STOC '01.

[15]  David L. Black,et al.  The Addition of Explicit Congestion Notification (ECN) to IP , 2001, RFC.

[16]  Glenn Vinnicombe,et al.  ON THE STABILITY OF NETWORKS OPERATING TCP-LIKE CONGESTION CONTROL , 2002 .

[17]  Berthold Vöcking,et al.  Tight bounds for worst-case equilibria , 2002, SODA '02.

[18]  Tim Roughgarden,et al.  How bad is selfish routing? , 2002, JACM.

[19]  Frank Kelly,et al.  Fairness and Stability of End-to-End Congestion Control , 2003, Eur. J. Control.

[20]  Oliver Heckmann,et al.  A market managed multi-service Internet (M3I) , 2003, Comput. Commun..

[21]  Scott Shenker,et al.  On a network creation game , 2003, PODC '03.

[22]  Rayadurgam Srikant,et al.  The Mathematics of Internet Congestion Control , 2003 .

[23]  R. Srikant,et al.  End-to-end congestion control schemes: utility functions, random losses and ECN marks , 2003, TNET.

[24]  Dimitri P. Bertsekas,et al.  Convex Analysis and Optimization , 2003 .

[25]  Éva Tardos,et al.  Near-optimal network design with selfish agents , 2003, STOC '03.

[26]  José R. Correa,et al.  Sloan School of Management Working Paper 4319-03 June 2003 Selfish Routing in Capacitated Networks , 2022 .

[27]  Ramesh Johari,et al.  Efficiency loss in market mechanisms for resource allocation , 2004 .

[28]  R. Srikant,et al.  An adaptive virtual queue (AVQ) algorithm for active queue management , 2004, IEEE/ACM Transactions on Networking.

[29]  John N. Tsitsiklis,et al.  Efficiency loss in a network resource allocation game: the case of elastic supply , 2004, IEEE Transactions on Automatic Control.