2010
DOI: 10.1007/978-3-642-15781-3_2
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Weighted Congestion Games: Price of Anarchy, Universal Worst-Case Examples, and Tightness

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Cited by 52 publications
(71 citation statements)
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“…On the other hand, our work reveals that for most classes of cost functions pure Nash equilibria as the stronger solution concept may fail to exist in weighted congestion games. Thus, our work provides additional justification to study the worst-case efficiency loss for different solution concepts, such as sink equilibria (Goemans et al [19]), correlated and coarse correlated equilibria (Bhawalkar et al [9], Roughgarden [34]). …”
Section: 2mentioning
confidence: 94%
“…On the other hand, our work reveals that for most classes of cost functions pure Nash equilibria as the stronger solution concept may fail to exist in weighted congestion games. Thus, our work provides additional justification to study the worst-case efficiency loss for different solution concepts, such as sink equilibria (Goemans et al [19]), correlated and coarse correlated equilibria (Bhawalkar et al [9], Roughgarden [34]). …”
Section: 2mentioning
confidence: 94%
“…For example, in a network context, players could have different durations of resource usage, different bandwidth requirements, or different contracts with the network provider. Almost all research to date has modeled non-uniform players in congestion-type games through proportional cost sharing [1,2,3,4,5,8,11,12,17,18]. The first assumption in proportional cost sharing is that each player i has a positive weight w i , with larger weights indicating larger resource usage.…”
mentioning
confidence: 99%
“…non-sequential) price of anarchy of symmetric network routing games with linear costs and show that it equals 5/2. This resolves an open question posed by Bhawalkar et al [18] regarding the price of anarchy of congestion games. Surprisingly, the lower bound that we provide is conceptually simpler than the one previously provided for the more general class of (non-network) affine congestion games by Christodoulou and Koutsoupias [29].…”
Section: Price Of Anarchysupporting
confidence: 64%
“…Moreover, Christodoulou and Koutsoupias [29] also obtained a tight bound of 5n−2 2n+1 on the price of anarchy for affine symmetric congestion games. Interestingly, obtaining a tight lower bound on the price of anarchy for the symmetric network case was an open problem [18]. In this chapter, next to resolving this open problem for linear cost functions (Section 4.5), we analyze the sequential version of network congestion games.…”
Section: Sequential Price Of Anarchy For Affine Symmetric Network Conmentioning
confidence: 99%