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Offline and Online Facility Leasing

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5035))

Abstract

We study the problem of leasing facilities over time, following the general infrastructure leasing problem framework introduced by Anthony and Gupta [1]. If there are K different lease types, Anthony and Gupta give an O(K)-approximation algorithm for the problem. We are able to improve this to a 3-approximation algorithm by using a variant of the primal-dual facility location algorithm of Jain and Vazirani [5]. We also consider the online version of the facility leasing problem, in which the clients to be served arrive over time and are not known in advance. This problem generalizes both the online facility location problem (introduced by Meyerson [6]) and the parking permit problem (also introduced by Meyerson [7]). We give a deterministic algorithm for the problem that is O(Klogn)-competitive. To achieve our result, we modify an O(logn)-competitive algorithm of Fotakis [2] for the online facility location problem.

Both authors supported in part by NSF CCF-0514628.

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References

  1. Anthony, B.M., Gupta, A.: Infrastructure leasing problems. In: Fischetti, M., Williamson, D.P. (eds.) IPCO 2007. LNCS, vol. 4513, pp. 424–438. Springer, Heidelberg (2007)

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  7. Meyerson, A.: The parking permit problem. In: Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science, pp. 274–282 (2005)

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Andrea Lodi Alessandro Panconesi Giovanni Rinaldi

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© 2008 Springer-Verlag Berlin Heidelberg

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Nagarajan, C., Williamson, D.P. (2008). Offline and Online Facility Leasing. In: Lodi, A., Panconesi, A., Rinaldi, G. (eds) Integer Programming and Combinatorial Optimization. IPCO 2008. Lecture Notes in Computer Science, vol 5035. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68891-4_21

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  • DOI: https://doi.org/10.1007/978-3-540-68891-4_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68886-0

  • Online ISBN: 978-3-540-68891-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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