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The Online Multicommodity Connected Facility Location Problem

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Approximation and Online Algorithms (WAOA 2017)

Abstract

Grandoni and Rothvoß introduced the Multicommodity Connected Facility Location problem, a generalization of the Connected Facility Location problem which arises from a combination of the Facility Location and the Steiner Forest problems through the rent-or-buy model. We consider the online version of this problem and present a randomized algorithm that is \(\mathrm {O}(\log ^2 n)\)-competitive, where n is the number of given client pairs. Our algorithm combines the sample-and-augment framework of Gupta, Kumar, Pál, and Roughgarden with previous algorithms for the Online Prize-Collecting Facility Location and the Online Steiner Forest problems. Also, for the special case of the problem with edge scale factor equals 1, we show that a variant of our algorithm is deterministic and \(\mathrm {O}(\log n)\)-competitive. Finally, we speculate on the possibility of finding a \(\mathrm {O}(\log n)\)-competitive algorithm for the general case and the difficulties to achieve such ratio.

M. C. San Felice—Partial support CAPES PNPD 1522390, CNPq 456792/2014-7, FAPESP 2013/03447-6, and FAPESP 2017/11382-2.

C. G. Fernandes—Partial support CNPq 308116/2016-0, 456792/2014-7, and FAPESP 2013/03447-6.

C. N. Lintzmayer—Supported by FAPESP 2016/14132-4.

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References

  1. Awerbuch, B., Azar, Y., Bartal, Y.: On-line generalized Steiner problem. Theor. Comput. Sci. 324(2–3), 313–324 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  2. Berman, P., Coulston, C.: On-line algorithms for Steiner tree problems (extended abstract). In: Proceedings of the 29th Annual ACM Symposium on Theory of Computing (STOC), pp. 344–353 (1997)

    Google Scholar 

  3. Elmachtoub, A.N., Levi, R.: From cost sharing mechanisms to online selection problems. Math. Oper. Res. 40(3), 542–557 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  4. San Felice, M.C., Cheung, S., Lee, O., Williamson, D.P.: The online prize-collecting facility location problem. In: Proceedings of the VIII Latin-American Algorithms, Graphs and Optimization Symposium (LAGOS), volume 50 of Electronic Notes in Discrete Mathematics, pp. 151–156 (2015)

    Google Scholar 

  5. San Felice, M.C., Williamson, D.P., Lee, O.: A randomized O\((\log n)\)-competitive algorithm for the online connected facility location problem. Algorithmica 76(4), 1139–1157 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  6. Fotakis, D.: A primal-dual algorithm for online non-uniform facility location. J. Discrete Algorithms 5(1), 141–148 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  7. Fotakis, D.: On the competitive ratio for online facility location. Algorithmica 50(1), 1–57 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  8. Fotakis, D.: Online and incremental algorithms for facility location. SIGACT News 42(1), 97–131 (2011)

    Article  Google Scholar 

  9. Grandoni, F., Rothvoß, T.: Approximation algorithms for single and multi-commodity connected facility location. In: Günlük, O., Woeginger, G.J. (eds.) IPCO 2011. LNCS, vol. 6655, pp. 248–260. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-20807-2_20

    Chapter  Google Scholar 

  10. Gupta, A., Kumar, A., Pál, M., Roughgarden, T.: Approximation via cost sharing: simpler and better approximation algorithms for network design. J. ACM 54(3) (2007). Article 11

    Google Scholar 

  11. Imase, M., Waxman, B.M.: Dynamic Steiner tree problem. SIAM J. Discrete Math. 4(3), 369–384 (1991)

    Article  MathSciNet  MATH  Google Scholar 

  12. Khuller, S., Zhu, A.: The general Steiner tree-star problem. Inf. Process. Lett. 84(4), 215–220 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  13. Meyerson, A.: Online facility location. In: Proceedings of the 42nd Annual IEEE Symposium on Foundations of Computer Science (FOCS), pp. 426–431 (2001)

    Google Scholar 

  14. Mitzenmacher, M., Upfal, E.: Probability and Computing - Randomized Algorithms and Probabilistic Analysis. Cambridge University Press, New York (2005)

    Book  MATH  Google Scholar 

  15. Nagarajan, C., Williamson, D.P.: Offline and online facility leasing. Discrete Optim. 10(4), 361–370 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  16. Umboh, S.: Online network design algorithms via hierarchical decompositions. In: Proceedings of the 26th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pp. 1373–1387 (2015)

    Google Scholar 

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Correspondence to Mário César San Felice .

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San Felice, M.C., Fernandes, C.G., Lintzmayer, C.N. (2018). The Online Multicommodity Connected Facility Location Problem. In: Solis-Oba, R., Fleischer, R. (eds) Approximation and Online Algorithms. WAOA 2017. Lecture Notes in Computer Science(), vol 10787. Springer, Cham. https://doi.org/10.1007/978-3-319-89441-6_10

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  • DOI: https://doi.org/10.1007/978-3-319-89441-6_10

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