Skip to main content

Scheduling Tasks to Minimize Active Time on a Processor with Unlimited Capacity

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10185))

Abstract

We study the following scheduling problem on a single processor. We are given n jobs, where each job \(j_i\) has an integer release time \(r_i\), processing time \(p_i\) as well as deadline \(d_i\). The processor can schedule an unlimited number of jobs at any time t. Our objective is to schedule the jobs together such that the total number of active time slots is minimized. We present an O(\(n^3\)) dynamic programming algorithm for the case of agreeable deadlines with \(d_i \le d_j\) whenever \(r_i < r_j\) or all jobs are big. In the general case, we present an online algorithm with competitive ratio 4 and show that our analysis is tight.

The work described in this paper was partially supported by a grant from Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. UGC/FDS11/E04/15 and Project No. CityU 11268616).

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   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

Learn about institutional subscriptions

References

  1. Albers, S.: Energy-efficient algorithms. Commun. ACM 53(5), 86–96 (2010)

    Article  Google Scholar 

  2. Amur, H., Cipar, J., Gupta, V., Ganger, G.R., Kozuch, M.A., Schwan, K.: Robust and flexible power-proportional storage. In: Proceedings of the 1st ACM SoCC 2010, pp. 217–228. ACM (2010)

    Google Scholar 

  3. Angel, E., Bampis, E., Chau, V.: Low complexity scheduling algorithms minimizing the energy for tasks with agreeable deadlines. Discrete Appl. Math. 175, 1–10 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  4. Baptiste, P.: Scheduling unit tasks to minimize the number of idle periods: a polynomial time algorithm for offline dynamic power management. In: 2006 Proceedings of the 17th Annual ACM-SIAM SODA, pp. 364–367. ACM Press (2006)

    Google Scholar 

  5. Baptiste, P., Chrobak, M., Dürr, C.: Polynomial time algorithms for minimum energy scheduling. In: Arge, L., Hoffmann, M., Welzl, E. (eds.) ESA 2007. LNCS, vol. 4698, pp. 136–150. Springer, Heidelberg (2007). doi:10.1007/978-3-540-75520-3_14

    Chapter  Google Scholar 

  6. Chang, J., Gabow, H.N., Khuller, S.: A model for minimizing active processor time. In: Epstein, L., Ferragina, P. (eds.) ESA 2012. LNCS, vol. 7501, pp. 289–300. Springer, Heidelberg (2012). doi:10.1007/978-3-642-33090-2_26

    Chapter  Google Scholar 

  7. Chang, J., Khuller, S., Mukherjee, K.: LP rounding and combinatorial algorithms for minimizing active and busy time. In: 26th ACM SPAA 2014, pp. 118–127. ACM (2014)

    Google Scholar 

  8. Demaine, E.D., Ghodsi, M., Hajiaghayi, M.T., Sayedi-Roshkhar, A.S., Zadimoghaddam, M.: Scheduling to minimize gaps and power consumption. J. Sched. 16(2), 151–160 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  9. Fang, X., Gao, H., Li, J., Li, Y.: Application-aware data collection in wireless sensor networks. In: Proceedings of the IEEE INFOCOM 2013, pp. 1645–1653. IEEE (2013)

    Google Scholar 

  10. Flammini, M., Monaco, G., Moscardelli, L., Shachnai, H., Shalom, M., Tamir, T., Zaks, S.: Minimizing total busy time in parallel scheduling with application to optical networks. In: 23rd IEEE IPDPS 2009, pp. 1–12. IEEE (2009)

    Google Scholar 

  11. Ikura, Y., Gimple, M.: Efficient scheduling algorithms for a single batch processing machine. Oper. Res. Lett. 5(2), 61–65 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  12. Irani, S., Pruhs, K.: Algorithmic problems in power management. SIGACT News 36(2), 63–76 (2005)

    Article  Google Scholar 

  13. Khandekar, R., Schieber, B., Shachnai, H., Tamir, T.: Minimizing busy time in multiple machine real-time scheduling. In: IARCS Annual Conference on FSTTCS 2010. LIPIcs, vol. 8, pp. 169–180 (2010)

    Google Scholar 

  14. Koehler, F., Khuller, S.: Optimal batch schedules for parallel machines. In: Dehne, F., Solis-Oba, R., Sack, J.-R. (eds.) WADS 2013. LNCS, vol. 8037, pp. 475–486. Springer, Heidelberg (2013). doi:10.1007/978-3-642-40104-6_41

    Chapter  Google Scholar 

  15. Shalom, M., Voloshin, A., Wong, P.W.H., Yung, F.C.C., Zaks, S.: Online optimization of busy time on parallel machines. In: Agrawal, M., Cooper, S.B., Li, A. (eds.) TAMC 2012. LNCS, vol. 7287, pp. 448–460. Springer, Heidelberg (2012). doi:10.1007/978-3-642-29952-0_43

    Chapter  Google Scholar 

  16. Tavakoli, A., Kansal, A., Nath, S.: On-line sensing task optimization for shared sensors. In: Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks, pp. 47–57. ACM (2010)

    Google Scholar 

  17. Tian, W., Xue, R., Cao, J., Xiong, Q., Hu, Y.: An energy-efficient online parallel scheduling algorithm for cloud data centers. In: 2013 IEEE Ninth World Congress on Services (SERVICES), pp. 397–402. IEEE (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ken C. K. Fong .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Fong, K.C.K., Li, M., Li, Y., Poon, SH., Wu, W., Zhao, Y. (2017). Scheduling Tasks to Minimize Active Time on a Processor with Unlimited Capacity. In: Gopal, T., Jäger , G., Steila, S. (eds) Theory and Applications of Models of Computation. TAMC 2017. Lecture Notes in Computer Science(), vol 10185. Springer, Cham. https://doi.org/10.1007/978-3-319-55911-7_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-55911-7_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-55910-0

  • Online ISBN: 978-3-319-55911-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics