Skip to main content

Semi-online Early Work Maximization Problem on Two Hierarchical Machines with Partial Information of Processing Time

  • Conference paper
  • First Online:
Algorithmic Aspects in Information and Management (AAIM 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 13153))

Included in the following conference series:

Abstract

In this paper, we study three semi-online early work maximization problems on two hierarchical machines. When the total processing time of low or high hierarchy is known, we propose an optimal algorithm with a competitive ratio of \(\sqrt{5}-1\). When the total processing times of low and high hierarchy are known, we propose an optimal algorithm with a competitive ratio of \(\frac{6}{5}\).

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
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

Similar content being viewed by others

References

  1. Chassid, O., Epstein, L.: The hierarchical model for load balancing on two machines. J. Comb. Optim. 15, 305–314 (2008)

    Article  MathSciNet  Google Scholar 

  2. Chen, X., Ding, N., Dosa, G., Han, X.: Online hierarchical scheduling on two machines with known total size of low-hierarchy jobs. Int. J. Comput. Math. 92(5), 873–881 (2015)

    Article  MathSciNet  Google Scholar 

  3. Chen, X., Kovalev, S., Liu, Y.Q., Sterna, M., Chalamon, I., Błażewicz, J.: Semi-online scheduling on two identical machines with a common due date to maximize total early work. Discret. Appl. Math. 290, 71–78 (2021)

    Article  MathSciNet  Google Scholar 

  4. Chen, X., Sterna, M., Han, X., Błażewicz, J.: Scheduling on parallel identical machines with late work criterion: offline and online cases. J. Sched. 19(6), 729–736 (2016)

    Article  MathSciNet  Google Scholar 

  5. Jiang, Y.W., He, Y., Tang, C.M.: Optimal online algorithms for scheduling on two identical machines under a grade of service. J. Zhejiang Univ. Sci. A 7, 309–314 (2006)

    Article  Google Scholar 

  6. Luo, T.B., Xu, Y.F.: Semi-online scheduling on two machines with GoS levels and partial information of processing time. Sci. World J. 2, 576234 (2014)

    Google Scholar 

  7. Park, J., Chang, S.Y., Lee, K.: Online and semi-online scheduling of two machines under a grade of service provision. Oper. Res. Lett. 34(6), 692–696 (2006)

    Article  MathSciNet  Google Scholar 

  8. Xiao, M., Wu, G., Li, W.: Semi-online machine covering on two hierarchical machines with known total size of low-hierarchy jobs. In: Sun, X., He, K., Chen, X. (eds.) NCTCS 2019. CCIS, vol. 1069, pp. 95–108. Springer, Singapore (2019). https://doi.org/10.1007/978-981-15-0105-0_7

    Chapter  Google Scholar 

  9. Xiao, M., Liu, X.Q., Li, W.D.: Online and semi-online scheduling on two hierarchical machines with a common due date to maximize total early work, working paper (2021)

    Google Scholar 

Download references

Acknowledgement

The work is supported in part by the National Natural Science Foundation of China [No. 12071417], and Project for Innovation Team (Cultivation) of Yunnan Province [No. 202005AE160006].

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Xiao, M., Liu, X., Li, W. (2021). Semi-online Early Work Maximization Problem on Two Hierarchical Machines with Partial Information of Processing Time. In: Wu, W., Du, H. (eds) Algorithmic Aspects in Information and Management. AAIM 2021. Lecture Notes in Computer Science(), vol 13153. Springer, Cham. https://doi.org/10.1007/978-3-030-93176-6_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-93176-6_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-93175-9

  • Online ISBN: 978-3-030-93176-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics