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          Institute: MPI für Informatik     Collection: Algorithms and Complexity Group     Display Documents



ID: 518253.0, MPI für Informatik / Algorithms and Complexity Group
Stochastic Stability in Internet Router Congestion Games
Authors:Pyrga, Evangelia; Chung, Christine
Language:English
Publisher:Springer
Place of Publication:Berlin
Date of Publication (YYYY-MM-DD):2009
Title of Proceedings:Algorithmic Game Theory Second International Symposium, SAGT 2009
Start Page:183
End Page:195
Title of Series:Lecture Notes in Computer Science
Place of Conference/Meeting:Paphos, Cyprus
(Start) Date of Conference/Meeting
 (YYYY-MM-DD):
2009-10-18
End Date of Conference/Meeting 
 (YYYY-MM-DD):
2009-10-20
Audience:Experts Only
Intended Educational Use:No
Abstract / Description:Congestion control at bottleneck routers on the internet is a long standing
problem. Many policies have been proposed for effective ways to drop packets
from the queues of these routers so that network endpoints will be inclined to
share router capacity fairly and minimize the overflow of packets trying to
enter the queues. We study just how effective some of these queuing policies
are when each network endpoint is a self-interested player with no information
about the other players’ actions or preferences. By employing the adaptive
learning model of evolutionary game theory, we study policies such as Droptail,
RED, and the greedy-flow-punishing policy proposed by Gao et al. [10] to find
the stochastically stable states: the states of the system that will be reached
in the long run.
Last Change of the Resource (YYYY-MM-DD):2010-02-11
External Publication Status:published
Document Type:Conference-Paper
Communicated by:Kurt Mehlhorn
Affiliations:MPI für Informatik/Algorithms and Complexity Group
Identifiers:LOCALID:C1256428004B93B8-CC5EE47F8F1710FBC12576C7004D112A-...
URL:http://www.springerlink.com/content/84q7k636h068v5...
DOI:10.1007/978-3-642-04645-2
ISBN:978-3-642-04644-5
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