Skip to main content

On Streaming and Communication Complexity of the Set Cover Problem

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8784))

Abstract

We develop the first streaming algorithm and the first two-party communication protocol that uses a constant number of passes/rounds and sublinear space/communication for logarithmic approximation to the classic Set Cover problem. Specifically, for n elements and m sets, our algorithm/protocol achieves a space bound of O(m ·n δlog2 n logm) using O(41/δ) passes/rounds while achieving an approximation factor of O(41/δ logn) in polynomial time (for δ = Ω(1/logn)). If we allow the algorithm/protocol to spend exponential time per pass/round, we achieve an approximation factor of O(41/δ). Our approach uses randomization, which we show is necessary: no deterministic constant approximation is possible (even given exponential time) using o(m n) space. These results are some of the first on streaming algorithms and efficient two-party communication protocols for approximation algorithms. Moreover, we show that our algorithm can be applied to multi-party communication model.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Alon, N., Moshkovitz, D., Safra, S.: Algorithmic construction of sets for k-restrictions. ACM Transactions on Algorithms 2(2), 153–177 (2006)

    Article  MathSciNet  Google Scholar 

  2. Chierichetti, F., Kumar, R., Tomkins, A.: Max-cover in map-reduce. In: Proc. of WWW, pp. 231–240. ACM (2010)

    Google Scholar 

  3. Cormode, G., Karloff, H., Wirth, A.: Set cover algorithms for very large datasets. In: Proceedings of the 19th ACM International Conference on Information and Knowledge Management, pp. 479–488. ACM (2010)

    Google Scholar 

  4. Dolev, D., Feder, T.: Multiparty communication complexity. In: Proc. of IEEE FOCS, pp. 428–433. IEEE (1989)

    Google Scholar 

  5. Ďuriš, P., Rolim, J.D.P.: Lower bounds on the multiparty communication complexity. Journal of Computer and System Sciences 56(1), 90–95 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  6. Emek, Y., Rosén, A.: Semi-streaming set cover. In: Esparza, J., Fraigniaud, P., Husfeldt, T., Koutsoupias, E. (eds.) ICALP 2014. Part I. LNCS, vol. 8572, pp. 453–464. Springer, Heidelberg (2014)

    Google Scholar 

  7. Grossman, T., Wool, A.: Computational experience with approximation algorithms for the set covering problem. European Journal of Operational Research 101(1), 81–92 (1997)

    Article  MATH  Google Scholar 

  8. Guha, S., McGregor, A.: Tight lower bounds for multi-pass stream computation via pass elimination. In: Aceto, L., Damgård, I., Goldberg, L.A., Halldórsson, M.M., Ingólfsdóttir, A., Walukiewicz, I. (eds.) ICALP 2008, Part I. LNCS, vol. 5125, pp. 760–772. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  9. Kumar, R., Moseley, B., Vassilvitskii, S., Vattani, A.: Fast greedy algorithms in mapreduce and streaming. In: Proc. of SPAA, pp. 1–10. ACM (2013)

    Google Scholar 

  10. Lund, C., Yannakakis, M.: On the hardness of approximating minimization problems. Journal of the ACM 41(5), 960–981 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  11. Nisan, N.: The communication complexity of approximate set packing and covering. In: Widmayer, P., Triguero, F., Morales, R., Hennessy, M., Eidenbenz, S., Conejo, R. (eds.) ICALP 2002. LNCS, vol. 2380, pp. 868–875. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  12. Phillips, J.M., Verbin, E., Zhang, Q.: Lower bounds for number-in-hand multiparty communication complexity, made easy. In: Proc. of ACM-SIAM SODA, pp. 486–501. SIAM (2012)

    Google Scholar 

  13. Raz, R., Safra, S.: A sub-constant error-probability low-degree test, and a sub-constant error-probability pcp characterization of np. In: Proc. of ACM STOC, pp. 475–484. ACM (1997)

    Google Scholar 

  14. Saha, B., Getoor, L.: On maximum coverage in the streaming model & application to multi-topic blog-watch. In: SDM, pp. 697–708 (2009)

    Google Scholar 

  15. Woodruff, D.P., Zhang, Q.: When distributed computation is communication expensive. In: Afek, Y. (ed.) DISC 2013. LNCS, vol. 8205, pp. 16–30. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Demaine, E.D., Indyk, P., Mahabadi, S., Vakilian, A. (2014). On Streaming and Communication Complexity of the Set Cover Problem. In: Kuhn, F. (eds) Distributed Computing. DISC 2014. Lecture Notes in Computer Science, vol 8784. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45174-8_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-45174-8_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45173-1

  • Online ISBN: 978-3-662-45174-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics