Improving the Price of Anarchy for Selfish Routing via Coordination Mechanisms

被引:0
|
作者
Christodoulou, George [1 ]
Mehlhorn, Kurt [2 ]
Pyrga, Evangelia [3 ]
机构
[1] Univ Liverpool, Liverpool L69 3BX, Merseyside, England
[2] Max Planck Inst Informat, Saarbrucken, Germany
[3] Tech Univ Munich, Munich, Germany
来源
ALGORITHMS - ESA 2011 | 2011年 / 6942卷
关键词
MULTICOMMODITY NETWORKS; ALGORITHMS; TOLLS; TASKS;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
We reconsider the well-studied Selfish Routing game with affine latency functions. The Price of Anarchy for this class of games takes maximum value 4/3; this maximum is attained already for a simple network of two parallel links, known as Pigou's network. We improve upon the value 4/3 by means of Coordination Mechanisms. We increase the latency functions of the edges in the network, i.e., if l(e)(x) is the latency function of an edge e, we replace it by (l) over cape(x) with l(e)(x = (l) over cape(x) for all x. Then an adversary fixes a demand rate as input. The engineered Price of Anarchy of the mechanism is defined as the worst-case ratio of the Nash social cost in the modified network over the optimal social cost in the original network. Formally, if (C) over cap (N)(r) denotes the cost of the worst Nash flow in the modified network for rate r and C-opt(r) denotes the cost of the optimal flow in the original network for the same rate then ePoA = max r >= 0 (C) over cap (N)(r)/C-opt(r). We first exhibit a simple coordination mechanism that achieves for any network of parallel links an engineered Price of Anarchy strictly less than 4/3. For the case of two parallel links our basic mechanism gives 5/4 = 1.25. Then, for the case of two parallel links, we describe an optimal mechanism; its engineered Price of Anarchy lies between 1.191 and 1.192.
引用
收藏
页码:119 / 130
页数:12
相关论文
共 50 条
  • [21] Coordination mechanisms for selfish scheduling
    Immorlica, Nicole
    Li, Li
    Mirrokni, Vahab S.
    Schulz, Andreas S.
    [J]. THEORETICAL COMPUTER SCIENCE, 2009, 410 (17) : 1589 - 1598
  • [22] Coordination mechanisms for selfish scheduling
    Immorlica, N
    Li, L
    Mirrokni, VS
    Schulz, A
    [J]. INTERNET AND NETWORK ECONOMICS, PROCEEDINGS, 2005, 3828 : 55 - 69
  • [23] The price of anarchy in routing games as a function of the demand
    Roberto Cominetti
    Valerio Dose
    Marco Scarsini
    [J]. Mathematical Programming, 2024, 203 : 531 - 558
  • [24] The Price of Anarchy in Routing Games as a Function of the Demand
    Cominetti, Roberto
    Dose, Valerio
    Scarsini, Marco
    [J]. WEB AND INTERNET ECONOMICS, WINE 2019, 2019, 11920 : 337 - 337
  • [25] The price of anarchy in routing games as a function of the demand
    Cominetti, Roberto
    Dose, Valerio
    Scarsini, Marco
    [J]. MATHEMATICAL PROGRAMMING, 2024, 203 (1-2) : 531 - 558
  • [26] Nashification and the coordination ratio for a selfish routing game
    Feldmann, R
    Gairing, M
    Lücking, T
    Monien, B
    Rode, M
    [J]. AUTOMATA, LANGUAGES AND PROGRAMMING, PROCEEDINGS, 2003, 2719 : 514 - 526
  • [27] Price of Anarchy in mmWave Backhaul Routing and Link Scheduling
    Triantafyllopoulou, Dionysia
    Kollias, Kostas
    Moessner, Klaus
    [J]. IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2024, 10 (04) : 1496 - 1510
  • [28] Price of anarchy of network routing games with incomplete information
    Garg, D
    Narahari, Y
    [J]. INTERNET AND NETWORK ECONOMICS, PROCEEDINGS, 2005, 3828 : 1066 - 1075
  • [29] Using weight decision for decreasing the price of anarchy in selfish bin packing games
    Dosa, Gyorgy
    Kellerer, Hans
    Tuza, Zsolt
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2019, 278 (01) : 160 - 169
  • [30] Routing Games in the Wild: Efficiency, Equilibration, Regret, and a Price of Anarchy Bound via Long Division
    Monnot, Barnabe
    Benita, Francisco
    Piliouras, Georgios
    [J]. ACM TRANSACTIONS ON ECONOMICS AND COMPUTATION, 2022, 10 (01)