Skip to main content

Common Deadline Lazy Bureaucrat Scheduling Revisited

  • Conference paper
LATIN 2006: Theoretical Informatics (LATIN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3887))

Included in the following conference series:

Abstract

Lazy bureaucrat scheduling is a new class of scheduling problems introduced by Arkin et al. [1]. In this paper we focus on the case where all the jobs share a common deadline. Such a problem is denoted as CD-LBSP, which has been considered by Esfahbod et al. [2]. We first show that the worst-case ratio of the algorithm SJF (Shortest Job First) is two under the objective function [min-time-spent], and thus answer an open question posed in [2]. We further present two approximation schemes A k and B k both having worst-case ratio of \(\frac{k+1}{k}\), for any given integer k>0, under the objective function [min-makespan] and [min-time-spent] respectively. Finally, we prove that the problem CD-LBSP remains NP-hard under several objective functions, even if all jobs share the same release time.

Research supported by NSFC grant No. 10231060 and No. 60573020.

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 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Arkin, E.M., Bender, M.A., Mitchell, J.S.B., Skiena, S.S.: The lazy bureaucrat scheduling problem. Information and Computation 184, 129–146 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  2. Esfahbod, B., Ghodsi, M., Sharifi, A.: Common-deadline lazy bureaucrat scheduling problems. In: Dehne, F., Sack, J.-R., Smid, M. (eds.) WADS 2003. LNCS, vol. 2748, pp. 59–66. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  3. Goemans, M.X., Williamaon, D.P.: Improved approximation algorithms for maixmum cut and satisfiability problems using semidefinite programming. Journal of ACM 42, 1115–1145 (1995)

    Article  Google Scholar 

  4. Hassin, R., Rubinstein, S.: An approximation algorithm for the maximum traveling salesman problem. Information Processing Letter 67, 125–130 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  5. Hepner, C., Stein, C.: Minimizing makespan for the lazy bureaucrat problem. In: Penttonen, M., Schmidt, E.M. (eds.) SWAT 2002. LNCS, vol. 2368, pp. 40–50. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  6. Karger, D., Motwani, R., Ramkumar, G.: On approximating the longest path in a graph. Algorithmica 18, 82–98 (1997)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gai, L., Zhang, G. (2006). Common Deadline Lazy Bureaucrat Scheduling Revisited. In: Correa, J.R., Hevia, A., Kiwi, M. (eds) LATIN 2006: Theoretical Informatics. LATIN 2006. Lecture Notes in Computer Science, vol 3887. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11682462_48

Download citation

  • DOI: https://doi.org/10.1007/11682462_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32755-4

  • Online ISBN: 978-3-540-32756-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics