DocumentCode
924240
Title
A scalable network resource allocation mechanism with bounded efficiency loss
Author
Johari, Ramesh ; Tsitsiklis, John N.
Author_Institution
Dept. of Manage. Sci. & Eng., Stanford Univ., CA, USA
Volume
24
Issue
5
fYear
2006
fDate
5/1/2006 12:00:00 AM
Firstpage
992
Lastpage
999
Abstract
The design of pricing mechanisms for network resource allocation has two important objectives: 1) a simple and scalable end-to-end implementation and 2) efficiency of the resulting equilibria. Both objectives are met by certain recently proposed mechanisms when users are price taking, but not when users can anticipate the effects of their actions on the resulting prices. In this paper, we partially close this gap, by demonstrating an alternative resource allocation mechanism which is scalable and guarantees a fully efficient allocation when users are price taking. In addition, when links have affine marginal cost, this mechanism has efficiency loss bounded by 1/3 when users are price anticipating. These results are derived by studying Cournot games, and in the process we derive the first nontrivial constant factor bounds on efficiency loss in these well-studied economic models.
Keywords
game theory; pricing; resource allocation; Cournot game; affine marginal cost; bounded efficiency loss; network resource allocation mechanism; nontrivial constant factor bound; pricing mechanism; Aggregates; Communication networks; Cost function; Engineering management; Game theory; Nash equilibrium; Pricing; Proposals; Resource management; Scalability; Computer networks; game theory; resource management;
fLanguage
English
Journal_Title
Selected Areas in Communications, IEEE Journal on
Publisher
ieee
ISSN
0733-8716
Type
jour
DOI
10.1109/JSAC.2006.872880
Filename
1626425
Link To Document