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Facility location: distributed approximation

Published: 17 July 2005 Publication History

Abstract

In this paper, we initiate the study of the approximability of the facility location problem in a distributed setting. In particular, we explore a trade-off between the amount of communication and the resulting approximation ratio. We give a distributed algorithm that, for every constant k, achieves an O(√k(mρ)1/√klog(m+n)) approximation in O(k) communication rounds where message size is bounded to O(log n) bits. The number of facilities and clients are $m$ and n, respectively, and ρ is a coefficient that depends on the cost values of the instance. Our technique is based on a distributed primal-dual approach for approximating a linear program, that does not form a covering or packing program.

References

[1]
B. Awerbuch. Complexity of Network Synchronization. Journal of the ACM, 32(4):804--823, 1985.
[2]
M. L. Balinski. On Finding Integer Solutions to Linear Programs. In Proceedings of the IBM Scientific Computing Symposium on Combinatorial Problems, pages 225--248, 1966.
[3]
Y. Bartal, J. W. Byers, and D. Raz. Global Optimization Using Local Information with Applications to Flow Control. In Proc. 38th Symposium on Foundations of Computer Science (FOCS), pages 303--312, 1997.
[4]
G. Cornuejols, G. Nemhauser, and L. Wolsey. Discrete Location Theory, chapter The Uncapacitated Facility Location Problem, pages 119--171. Wiley, 1990.
[5]
M. Elkin. An Unconditional Lower Bound on the Hardness of Approximation of Distributed Minimum Spanning Tree Problem. In Proceedings of the 36th annual ACM Symposium on Theory of Computing (STOC), pages 331--340, 2004.
[6]
M. Elkin. Distributed Approximation - A Survey. ACM SIGACT News - Distributed Computing Column, 35(4), 2004.
[7]
U. Feige. A Threshold of ln n for Approximating Set Cover. Journal of the ACM, 45(4):634--652, 1998.
[8]
M. X. Goemans and D. P. Williamson. A General Approximation Technique for Constrained Forest Problems. SIAM J. Comput., 24(2):296--317, 1995.
[9]
M. T. Hajiaghayi, M. Mahdian, and V. S. Mirrokni. The Facility Location Problem with General Cost Functions. Networks, 42(1):42--47, 2003.
[10]
W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan. Energy-Efficient Communication Protocol for Wireless Microsensor Networks. In Proc. 33rd Hawaii International Conference on System Sciences (HICSS), page 8020, 2000.
[11]
D. S. Hochbaum. Heuristics for the fixed cost median problem. Math. Programming, 22:148--162, 1982.
[12]
K. Jain, M. Mahdian, E. Markakis, A. Saberi, and V. V. Vazirani. Greedy Facility Location Algorithms analyzed using Dual Fitting with Factor-Revealing LP. Journal of the ACM, 50(6):795--824, 2003.
[13]
K. Jain and V. V. Vazirani. Primal-Dual Approximation Algorithms for Metric Facility Location and k-Median Problems. In Proceedings of the 40th Symposium on Foundations of Computer Science (FOCS). IEEE Computer Society, 1999.
[14]
M. R. Korupolu, C. G. Plaxton, and R. Rajaraman. Analysis of a Local Search Heuristic for Facility Location Problems. In Proceedings of the 9th ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 1--10. Society for Industrial and Applied Mathematics, 1998.
[15]
F. Kuhn, T. Moscibroda, and R. Wattenhofer. Initializing newly deployed ad hoc and sensor networks. In Proceedings of 10th Annual International Conference on Mobile Computing and Networking (MOBICOM), pages 260--274, 2004.
[16]
F. Kuhn, T. Moscibroda, and R. Wattenhofer. What Cannot be Computed Locally! In Proceedings of the 23rd ACM Symposium on the Principles of Distributed Computing (PODC), pages 300--309, 2004.
[17]
F. Kuhn and R. Wattenhofer. Constant-Time Distributed Dominating Set Approximation. In Proc. of the 22nd Annual ACM Symp. on Principles of Distributed Computing (PODC), pages 25--32, 2003.
[18]
J.-H. Lin and J. S. Vitter. ε-Approximations with Minimum Packing Constraint Violation. In Proceedings of the 24th ACM Symposium on Theory of Computing (STOC), pages 771--782, 1992.
[19]
N. Linial. Locality in Distributed Graph Algorithms. SIAM Journal on Computing, 21(1):193--201, 1992.
[20]
Z. Lotker, E. Pavlov, B. Patt-Shamir, and D. Peleg. MST Construction in O(log log n) Communication Rounds. In Proceedings of the 15th ACM symposium on Parallel Algorithms and Architectures (SPAA), pages 94--100. ACM Press, 2003.
[21]
M. Luby and N. Nisan. A Parallel Approximation Algorithm for Positive Linear Programming. In Proc. of the 25th ACM Symposium on Theory of Computing (STOC), pages 448--457, 1993.
[22]
C. Lund and M. Yannakakis. On the Hardness of Approximating Minimization Problems. Journal of the ACM, 41(5).
[23]
C. Papadimitriou and M. Yannakakis. Linear Programming Without the Matrix. In Proceedings of the 25th ACM Symposium on Theory of Computing (STOC), pages 121--129. ACM Press, 1993.
[24]
D. Peleg. Distributed Computing: A Locality-Sensitive Approach. SIAM Monographs on Discrete Mathematics and Applications, 2000.
[25]
D. Peleg and V. Rubinovich. A Near-Tight Lower Bound on the Time Complexity of Distributed Minimum-Weight Spanning Tree Construction. SIAM J. Comput., 30(5):1427--1442, 2001.
[26]
S. Rajagopalan and V. Vazirani. Primal-Dual RNC Approximation Algorithms for Set Cover and Covering Integer Programs. SIAM Journal on Computing, 28:525--540, 1998.
[27]
D. B. Shmoys, E. Tardos, and K. I. Aardal. Approximation Algorithms for Facility Location Problems. In Proc. 29th Symposium on Theory of Computing (STOC), pages 265--274, 1997.
[28]
C. Swamy and D. B. Shmoys. Fault-Tolerant Facility Location. In Proc. 14th Symposium on Discrete Algorithms (SODA), pages 735--736, 2003.
[29]
D. P. Williamson, M. X. Goemans, M. Mihail, and V. V. Vazirani. A Primal-Dual Approximation Algorithm for Generalized Steiner Network Problems. In Proc. 25th Symposium on Theory of Computing (STOC), pages 708--717, 1993.

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cover image ACM Conferences
PODC '05: Proceedings of the twenty-fourth annual ACM symposium on Principles of distributed computing
July 2005
364 pages
ISBN:1581139942
DOI:10.1145/1073814
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Publication History

Published: 17 July 2005

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Author Tags

  1. distributed approximation
  2. facility location
  3. linear programming
  4. primal-dual algorithms

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