A constant-factor approximation algorithm for the k-median problem (extended abstract)
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
Algorithms, games, and the internet
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
Journal of the ACM (JACM)
The price of anarchy is independent of the network topology
STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
FOCS '02 Proceedings of the 43rd Symposium on Foundations of Computer Science
Improved Combinatorial Algorithms for the Facility Location and k-Median Problems
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
Primal-Dual Approximation Algorithms for Metric Facility Location and k-Median Problems
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
Local Search Heuristics for k-Median and Facility Location Problems
SIAM Journal on Computing
STACS'99 Proceedings of the 16th annual conference on Theoretical aspects of computer science
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
Non-cooperative facility location and covering games
Theoretical Computer Science
On the performance of congestion games for optimum satisfiability problems
WINE'07 Proceedings of the 3rd international conference on Internet and network economics
Budgeted red-blue median and its generalizations
ESA'10 Proceedings of the 18th annual European conference on Algorithms: Part I
Non-cooperative facility location and covering games
ISAAC'06 Proceedings of the 17th international conference on Algorithms and Computation
Cache me if you can: capacitated selfish replication games
LATIN'12 Proceedings of the 10th Latin American international conference on Theoretical Informatics
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In this paper, we define a network service provider game. We show that the price of anarchy of the defined game can be bounded by analyzing a local search heuristic for a related facility location problem called the k-facility location problem. As a result, we show that the k-facility location problem has a locality gap of 5. This result is of interest on its own. Our result gives evidence to the belief that the price of anarchy of certain games are related to analysis of local search heuristics.