Skip to main content

Call Admission Problems on Grids with Advice (Extended Abstract)

  • Conference paper
  • First Online:
Approximation and Online Algorithms (WAOA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11312))

Included in the following conference series:

Abstract

We analyze the call admission problem on grids, thus generalizing previous results for the path graph, where a central authority receives requests that two of the computers in a given network arranged as a two-dimensional grid structure want to communicate. The central authority can then, for every request, either grant it by establishing one of the possible connections in the grid, or reject the request. Thereby, the requests have to be answered in an online fashion, every connection is permanent, and connections have to be edge-disjoint. The goal is to admit as many requests as possible. We are particularly interested to examine how much information about the future requests the central authority needs in order to compute an optimal solution or a solution of some given quality compared to the optimal solution; we quantify this information by studying the advice complexity of the problem.

Our results show that, without additional information, the central authority cannot perform satisfactorily well, and we establish a lower bound linear in |E| for the number of advice bits needed for near-optimal solutions, where |E| denotes the number of edges in the grid. Furthermore, concerning optimality, we are able to prove nearly tight bounds of at least 0.94|E| and at most 3|E| advice bits. In addition, we state another upper bound in the number of requests k and the number of vertices |V| in the grid of \(\lceil \log _2(5) \cdot k + \log _2(3) \cdot |V| \rceil + \lceil 2 \log _2(k) \rceil \) advice bits, which is stronger for a small number of requests.

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

Access this chapter

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 EPUB and 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

Institutional subscriptions

References

  1. Barhum, K., et al.: On the power of advice and randomization for the disjoint path allocation problem. In: Geffert, V., Preneel, B., Rovan, B., Štuller, J., Tjoa, A.M. (eds.) SOFSEM 2014. LNCS, vol. 8327, pp. 89–101. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-04298-5_9

    Chapter  Google Scholar 

  2. Böckenhauer, H.-J., Hromkovič, J., Komm, D., Krug, S., Smula, J., Sprock, A.: The string guessing problem as a method to prove lower bounds on the advice complexity. Theor. Comput. Sci. 554, 95–108 (2014)

    Article  MathSciNet  Google Scholar 

  3. Böckenhauer, H.-J., Komm, D., Královič, R., Královič, R., Mömke, T.: On the advice complexity of online problems. In: Dong, Y., Du, D.-Z., Ibarra, O. (eds.) ISAAC 2009. LNCS, vol. 5878, pp. 331–340. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-10631-6_35

    Chapter  MATH  Google Scholar 

  4. Böckenhauer, H.-J., Komm, D., Královič, R., Královič, R., Mömke, T.: Online algorithms with advice: the tape model. Inf. Comput. 254, 59–83 (2017)

    Article  MathSciNet  Google Scholar 

  5. Böckenhauer, H.-J., Komm, D., Královič, R., Královič, R.: On the advice complexity of the k-server problem. In: Aceto, L., Henzinger, M., Sgall, J. (eds.) ICALP 2011. LNCS, vol. 6755, pp. 207–218. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-22006-7_18

    Chapter  MATH  Google Scholar 

  6. Böckenhauer, H.-J., Komm, D., Královič, R., Královič, R.: On the advice complexity of the \(k\)-server problem. J. Comput. Syst. Sci. 86, 159–170 (2017)

    Article  MathSciNet  Google Scholar 

  7. Böckenhauer, H.J., Komm, D., Wegner, R.: An analysis of call admission problems in grids. Technical report. www.ita.inf.ethz.ch/gdpa.pdf. Accessed 20 June 2018

  8. Borodin, A., El-Yaniv, R.: Online Computation and Competitive Analysis. Cambridge University Press, Cambridge (1998)

    MATH  Google Scholar 

  9. Boyar, J., Favrholdt, L.M., Kudahl, C., Mikkelsen, J.W.: The advice complexity of a class of hard online problems. CoRR, abs/1408.7033 (2014)

    Google Scholar 

  10. Burjons, E., Frei, F., Smula, J., Wehner, D.: Length-weighted disjoint path allocation - advice and parametrization. In: Böckenhauer, H.-J., Komm, D., Unger, W. (eds.) Adventures Between Lower Bounds and Higher Altitudes. LNCS, vol. 11011, pp. 231–256. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-98355-4_14

    Chapter  Google Scholar 

  11. Dobrev, S., Královič, R., Pardubská, D.: How much information about the future is needed? In: Geffert, V., Karhumäki, J., Bertoni, A., Preneel, B., Návrat, P., Bieliková, M. (eds.) SOFSEM 2008. LNCS, vol. 4910, pp. 247–258. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-77566-9_21

    Chapter  Google Scholar 

  12. Emek, Y., Fraigniaud, P., Korman, A., Rosén, A.: Online computation with advice. Theor. Comput. Sci. 412(24), 2642–2656 (2011)

    Article  MathSciNet  Google Scholar 

  13. Gebauer, H., Komm, D., Královič, R., Královič, R., Smula, J.: Disjoint path allocation with sublinear advice. In: Xu, D., Du, D., Du, D. (eds.) COCOON 2015. LNCS, vol. 9198, pp. 417–429. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-21398-9_33

    Chapter  Google Scholar 

  14. Gupta, S., Kamali, S., López-Ortiz, A.: On advice complexity of the \(k\)-server problem under sparse metrics. Theory Comput. Syst. 59, 476–499 (2016)

    Article  MathSciNet  Google Scholar 

  15. Hromkovič, J., Královič, R., Královič, R.: Information complexity of online problems. In: Hliněný, P., Kučera, A. (eds.) MFCS 2010. LNCS, vol. 6281, pp. 24–36. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-15155-2_3

    Chapter  MATH  Google Scholar 

  16. Komm, D.: An Introduction to Online Computation - Determinism, Randomization, Advice. Texts in Theoretical Computer Science. An EATCS Series. Springer, Switzerland (2016). https://doi.org/10.1007/978-3-319-42749-2

    Book  Google Scholar 

  17. Noe, T., Piezas III, T., Weisstein, E.W.: Fibonacci \(n\)-step number. From MathWorld-A Wolfram Web Resource. http://mathworld.wolfram.com/Fibonaccin-StepNumber.html. Accessed 20 June 2018

  18. Sleator, D.D., Tarjan, R.E.: Amortized efficiency of list update and paging rules. Commun. ACM 28(2), 202–208 (1985)

    Article  MathSciNet  Google Scholar 

  19. Smula, J.: Information content of online problems: advice versus determinism and randomization. Ph.D. thesis, ETH Zurich (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Raphael Wegner .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Böckenhauer, HJ., Komm, D., Wegner, R. (2018). Call Admission Problems on Grids with Advice (Extended Abstract). In: Epstein, L., Erlebach, T. (eds) Approximation and Online Algorithms. WAOA 2018. Lecture Notes in Computer Science(), vol 11312. Springer, Cham. https://doi.org/10.1007/978-3-030-04693-4_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-04693-4_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04692-7

  • Online ISBN: 978-3-030-04693-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics