Competitive routing in multiuser communication networks
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On the existence of equilibria in noncooperative optimal flow control
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Making greed work in networks: a game-theoretic analysis of switch service disciplines
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Improving local search heuristics for some scheduling problems—I
Discrete Applied Mathematics - Special volume: first international colloquium on graphs and optimization (GOI), 1992
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Selfish traffic allocation for server farms
STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
Tight bounds for worst-case equilibria
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
Routing into two parallel links: game-theoretic distributed algorithms
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The Structure and Complexity of Nash Equilibria for a Selfish Routing Game
ICALP '02 Proceedings of the 29th International Colloquium on Automata, Languages and Programming
Developments from a June 1996 seminar on Online algorithms: the state of the art
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
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Efficient nash computation in large population games with bounded influence
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Architecting noncooperative networks
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How to route and tax selfish unsplittable traffic
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Bounds for the convergence rate of randomized local search in a multiplayer load-balancing game
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Computing equilibria in multi-player games
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Fast convergence of selfish rerouting
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Distributed selfish load balancing
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Theoretical Computer Science - Automata, languages and programming: Algorithms and complexity (ICALP-A 2004)
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Algorithms for pure Nash equilibria in weighted congestion games
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On the convergence of multicast games in directed networks
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Convergence to approximate Nash equilibria in congestion games
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Routing selfish unsplittable traffic
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The structure and complexity of Nash equilibria for a selfish routing game
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Congestion games, load balancing, and price of anarchy
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Game-theoretic analysis of Internet switching with selfish users
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We study the number of steps required to reach a pure Nash Equilibrium in a load balancing scenario where each job behaves selfishly and attempts to migrate to a machine which will minimize its cost. We consider a variety of load balancing models, including identical, restricted, related and unrelated machines. Our results have a crucial dependence on the weights assigned to jobs. We consider arbitrary weights, integer weights, K distinct weights and identical (unit) weights. We look both at an arbitrary schedule (where the only restriction is that a job migrates to a machine which lowers its cost) and specific efficient schedulers (such as allowing the largest weight job to move first).