University of Leicester
Browse

Connected facility leasing problems

conference contribution
posted on 2020-05-21, 09:18 authored by MS De Lima, MĆS Felice, O Lee
We study leasing variants of the connected facility location problem, in which we wish to connect a set of clients to facilities, and facilities are connected via core edges, whose cost is a scale factor times the cost of a simple edge. We identify two aspects of the problem that can lead to different variants: (a) if there is a single or multiple commodities, and (b) if we lease facilities and buy core edges, or if we lease both facilities and core edges. Combining these aspects, we propose four variants of the problem, and we give approximation and competitive online algorithms for each of them when the (smallest) scale factor is 1. The algorithms we propose follow the technique of combining available algorithms for the underlying facility leasing and Steiner problems.

Funding

In author order: ⋆Support by FAPESP/CAPES 2014/18781-1, CNPq 142161/2014-4.⋆⋆Support by CAPES PNPD 1522390, CNPq 456792/2014-7, FAPESP 2013/03447-6.⋆ ⋆ ⋆Support by CNPq 311373/2015-1, FAPESP 2015/11937-9

History

Citation

CEUR Workshop Proceedings, 1949, pp. 162 - 173

Source

ICTCS 2017 and CILC 2017 Italian Conference on Theoretical Computer Science and Italian Conference on Computational Logic

Version

  • AM (Accepted Manuscript)

Published in

CEUR Workshop Proceedings

Volume

1949

Pagination

162 - 173

issn

1613-0073

Copyright date

2017

Notes

Joint Proceedings of the 18th Italian Conference on Theoretical Computer Science and the 32nd Italian Conference on Computational Logic co-located with the 2017 IEEE International Workshop on Measurements and Networking (2017 IEEE M&N)

Spatial coverage

Naples, Italy

Temporal coverage: start date

2017-09-26

Temporal coverage: end date

2017-09-28

Language

en

Usage metrics

    University of Leicester Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC