Skip to main content

Improved Results for a Memory Allocation Problem

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4619))

Abstract

We consider a memory allocation problem that can be modeled as a version of bin packing where items may be split, but each bin may contain at most two (parts of) items. This problem was recently introduced by Chung et al.[3]. We give a simple 3/2-approximation algorithm for it which is in fact an online algorithm. This algorithm also has good performance for the more general case where each bin may contain at most k parts of items. We show that this general case is also strongly NP-hard. Additionally, we give an efficient 7/5-approximation algorithm.

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   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
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. Babel, L., Chen, B., Kellerer, H., Kotov, V.: Algorithms for on-line bin-packing problems with cardinality constraints. Discrete Applied Mathematics 143(1-3), 238–251 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  2. Caprara, A., Kellerer, H., Pferschy, U.: Approximation schemes for ordered vector packing problems. Naval Research Logistics 92, 58–69 (2003)

    Article  MathSciNet  Google Scholar 

  3. Chung, F., Graham, R., Mao, J., Varghese, G.: Parallelism versus memory allocation in pipelined router forwarding engines. Theory of Computing Systems 39(6), 829–849 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  4. Epstein, L.: Online bin packing with cardinality constraints. SIAM Journal on Discrete Mathematics 20(4), 1015–1030 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  5. Epstein, L., van Stee, R.: Approximation schemes for packing splittable items with cardinality constraints. Manuscript

    Google Scholar 

  6. Garey, M.R., Johnson, D.S.: Computers and Intractability: A Guide to the theory of NP-Completeness. W. H. Freeman and Company, New York (1979)

    MATH  Google Scholar 

  7. Graham, R.L., Mao, J.: Parallel resource allocation of splittable items with cardinality constraints. Manuscript

    Google Scholar 

  8. Johnson, D.S.: Fast algorithms for bin packing. Journal of Computer and System Sciences 8(3), 272–314 (1974)

    MATH  MathSciNet  Google Scholar 

  9. Kellerer, H., Pferschy, U.: Cardinality constrained bin-packing problems. Annals of Operations Research 92, 335–348 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  10. Krause, K.L., Shen, V.Y., Schwetman, H.D.: Analysis of several task-scheduling algorithms for a model of multiprogramming computer systems. Journal of the ACM 22(4), 522–550 (1975)

    Article  MATH  MathSciNet  Google Scholar 

  11. Krause, K.L., Shen, V.Y., Schwetman, H.D.: Errata: Analysis of several task-scheduling algorithms for a model of multiprogramming computer systems. Journal of the ACM 24(3), 527 (1977)

    Article  MathSciNet  Google Scholar 

  12. Shachnai, H., Tamir, T., Yehezkely, O.: Approximation schemes for packing with item fragmentation. In: Erlebach, T., Persinao, G. (eds.) WAOA 2005. LNCS, vol. 3879, pp. 334–347. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  13. van Vliet, A.: An improved lower bound for online bin packing algorithms. Information Processing Letters 43(5), 277–284 (1992)

    Article  MATH  MathSciNet  Google Scholar 

  14. Yao, A.C.C.: New algorithms for bin packing. Journal of the ACM 27, 207–227 (1980)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Frank Dehne Jörg-Rüdiger Sack Norbert Zeh

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Epstein, L., van Stee, R. (2007). Improved Results for a Memory Allocation Problem. In: Dehne, F., Sack, JR., Zeh, N. (eds) Algorithms and Data Structures. WADS 2007. Lecture Notes in Computer Science, vol 4619. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73951-7_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-73951-7_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73948-7

  • Online ISBN: 978-3-540-73951-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics