Skip to main content

Scheduling Intervals Using Independent Sets in Claw-Free Graphs

  • Conference paper
  • First Online:
Computational Science and Its Applications — ICCSA 2003 (ICCSA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2667))

Included in the following conference series:

Abstract

The Variable Length Scheduling Problem has been studied in the context of web searching, where the execution time for a task depends on the start time for the task. The objective is to minimize the total completion time of all the tasks. It is known that the problem is NP-Hard to approximate within a factor of n O(1). For the case when the execution times are from the set 1, 2, the optimal execution sequence can be determined in polynomial time. Also, when the execution times are from the set k 1, k 2 the problem is NP-complete and can be approximated within a ratio of \( 2 + \tfrac{{k_2 }} {{2k_1 }} \) . Here we note that the approximation ratio for the case when the execution times are from the set k 1, k 2 can be improved to \( 2 + \tfrac{{2k_2 }} {{5k_1 }} \) .

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. M.-C. Cai, X. Deng, and L. Wang. Approximate sequencing for variable length tasks. Theoretical Computer Science (to appear).

    Google Scholar 

  2. A. Czumaj, I. Finch, L. Gasieniec, A. Gibbons and P. Leng, W. Rytter and M. Zito, ‘Efficient Web Searching Using Temporal Factors’, Theoretical Computer Science, 262 (2001), pp. 569–582.

    Article  MATH  MathSciNet  Google Scholar 

  3. A. Czumaj, L. Gasieniec, D. Gaur, R. Krishnamurti, W. Rytter and M. Zito, ‘(NOTE) On polynomial time approximation algorithms for the variable length scheduling problem’, Theoretical Computer Science (to appear).

    Google Scholar 

  4. M. Halldórsson, ‘Approximating Discrete Collections via Local Improvements’, ACM-SIAM Symposium on Discrete Algorithms, (1995) 160–169.

    Google Scholar 

  5. J. M. Keil, ‘On the complexity of scheduling tasks with discrete starting times’, Operations Research Letters, 12 (1992) 293–295.

    Article  MATH  MathSciNet  Google Scholar 

  6. G.J. Minty, ‘On maximal independent sets of vertices in claw-free graphs’, J. Combin. Theory Ser. B, 28 (1980) 284–304.

    Article  MATH  MathSciNet  Google Scholar 

  7. L. Lovasz and M. D. Plummer, ‘Matching Theory’, North Holland, Amsterdam (1986).

    Google Scholar 

  8. K. Nakajima and S. L. Hakimi, ‘Complexity results for scheduling tasks with discrete starting times’, Journal of Algorithms, 3 (1982) 344–361.

    Article  MATH  MathSciNet  Google Scholar 

  9. D. Nakamura and A. Tamura, ‘A revision of Minty’s algorithm for finding a maximum weight stable set of a claw-free graph’, Technical Report RIMS: 1261 Research Institute for Mathematical Sciences, Kyoto University.

    Google Scholar 

  10. N. Sbihi, ‘Algorithme de recherche d’un stable de cardinalit’e maximum dans un graphe sans’ etoile’, Discrete Math. 29, (1980) pp. 53–76 (in French).

    Article  MATH  MathSciNet  Google Scholar 

  11. F. C. R. Spieksma, ‘On the approximability of an interval scheduling problem’, Journal of Scheduling, 2, (1999) 215–227.

    Article  MATH  MathSciNet  Google Scholar 

  12. F. C. R. Spieksma and Y. Crama, ‘The complexity of scheduling short tasks with few starting times’, Research Report M92-06, Department of Mathematics, Maastricht University, (1992).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gaur, D.R., Krishnamurti, R. (2003). Scheduling Intervals Using Independent Sets in Claw-Free Graphs. In: Kumar, V., Gavrilova, M.L., Tan, C.J.K., L’Ecuyer, P. (eds) Computational Science and Its Applications — ICCSA 2003. ICCSA 2003. Lecture Notes in Computer Science, vol 2667. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44839-X_28

Download citation

  • DOI: https://doi.org/10.1007/3-540-44839-X_28

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40155-1

  • Online ISBN: 978-3-540-44839-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics