Theory of Computing Systems

, Volume 50, Issue 1, pp 124–146 | Cite as

Scheduling with Bully Selfish Jobs

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Abstract

In job scheduling with precedence-constraints, ij means that job j cannot start being processed before job i is completed. In this paper we consider selfish bully jobs who do not let other jobs start their processing if they are around. Formally, we define the selfish precedence-constraint where i s j means that j cannot start being processed if i has not started its processing yet. Interestingly, as was detected by a devoted kindergarten teacher whose story is told below, this type of precedence-constraints is very different from the traditional one, in a sense that problems that are known to be solvable efficiently become NP-hard and vice-versa.

The work of our hero teacher, Ms. Schedule, was initiated due to an arrival of bully jobs to her kindergarten. Bully jobs bypass all other nice jobs, but respect each other. This natural environment corresponds to the case where the selfish precedence-constraints graph is a complete bipartite graph. Ms. Schedule analyzed the minimum makespan and the minimum total flow-time problems for this setting. She then extended her interest to other topologies of the precedence-constraints graph and other special instances with uniform length jobs and/or release times.

Keywords

Scheduling Approximation algorithms Selfish precedence-constraints 

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References

  1. 1.
    Brucker, P., Knust, S.: Complexity results for scheduling problems. http://www.mathematik.uni-osnabrueck.de/research/OR/class/
  2. 2.
    Bruno, J.L., Coffman, E.G., Sethi, R.: Algorithms for minimizing mean flow-time. In: IFIPS Congress, vol. 74, pp. 504–510 (1974) Google Scholar
  3. 3.
    Chekuri, C., Khanna, S.: A PTAS for the multiple knapsack problem. In: Proc. of the 11th ACM-SIAM Symposium on Discrete Algorithms (SODA), pp. 213–222 (2000) Google Scholar
  4. 4.
    Chekuri, C., Motwani, R.: Precedence constrained scheduling to minimize sum of weighted completion times on a single machine. Discrete Appl. Math. 98(1–2), 29–38 (1999) MathSciNetCrossRefMATHGoogle Scholar
  5. 5.
    Coffman, E.G., Sethi, R.: A generalized bound on LPT sequencing. In: Proc. of the Joint International Conference on Measurements and Modeling of Computer Systems, SIGMETRICS (1976) Google Scholar
  6. 6.
    Coffman, E.G., Sethi, R.: Algorithms minimizing mean flow-time: schedule length properties. Acta Inform. 6, 1–14 (1976) MathSciNetMATHGoogle Scholar
  7. 7.
    Eck, B.T., Pinedo, M.: On the minimization of the makespan subject to flowtime optimality. Oper. Res. 41, 797–800 (1993) CrossRefMATHGoogle Scholar
  8. 8.
    Epstein, L., Sgall, J.: Approximation schemes for scheduling on uniformly related and identical parallel machines. Algorithmica 39(1), 43–57 (2004) MathSciNetCrossRefMATHGoogle Scholar
  9. 9.
    Finta, L., Liu, Z.: Single machine scheduling subject to precedence delays. Discrete Appl. Math. 70(3), 247–266 (1996) MathSciNetCrossRefMATHGoogle Scholar
  10. 10.
    Garey, M.R., Johnson, D.S.: Computers and Intractability: A Guide to the Theory of NP-Completeness. Freeman, San Francisco (1979) MATHGoogle Scholar
  11. 11.
    Graham, R.L.: Bounds for certain multiprocessing anomalies. Bell Syst. Tech. J. 45, 1563–1581 (1966) CrossRefGoogle Scholar
  12. 12.
    Graham, R.L.: Bounds on multiprocessing timing anomalies. SIAM J. Appl. Math. 17, 263–269 (1969) Google Scholar
  13. 13.
    Hochbaum, D.S., Shmoys, D.B.: Using dual approximation algorithms for scheduling problems: Practical and theoretical results. J. ACM 34(1), 144–162 (1987) MathSciNetCrossRefGoogle Scholar
  14. 14.
    Kim, E., Posner, M.E.: Parallel machine scheduling with S-precedence constraints. IIE Trans. 42, 525–537 (2010) CrossRefGoogle Scholar
  15. 15.
    Lawler, E.L.: Optimal sequencing of a single machine subject to precedence constraints. Manag. Sci. 19, 544–546 (1973) CrossRefMATHGoogle Scholar
  16. 16.
    Lawler, E.L.: Sequencing jobs to minimize total weighted completion time subject to precedence constraints. Ann. Discrete Math. 2, 75–90 (1978) MathSciNetCrossRefMATHGoogle Scholar
  17. 17.
    Lenstra, J.K., Rinnooy Kan, A.H.G.: Complexity of scheduling under precedence constraints. Oper. Res. 26(1), 22–35 (1978) MathSciNetCrossRefMATHGoogle Scholar
  18. 18.
    Leung, J.Y.-T., Young, G.H.: Minimizing total tardiness on a single machine with precedence constraints. ORSA J. Comput. 2(4), 346–352 (1990) CrossRefMATHGoogle Scholar
  19. 19.
    Queyranne, M., Schulz, A.S.: Approximation bounds for a general class of precedence constrained parallel machine scheduling problems. SIAM J. Comput. 35(5), 1241–1253 (2006) MathSciNetCrossRefMATHGoogle Scholar
  20. 20.
    Sahni, S.: Algorithms for scheduling independent tasks. J. ACM 23, 555–565 (1976) MathSciNetCrossRefMATHGoogle Scholar
  21. 21.
    Smith, W.E.: Various optimizers for single-stage production. Nav. Res. Logist. Q. 3, 59–66 (1956) CrossRefGoogle Scholar
  22. 22.
    Sucha, P., Hanzalek, Z.: Scheduling of tasks with precedence delays and relative deadlines—framework for time-optimal dynamic reconfiguration of FPGAs. In: The 20th Int. Conf. on Parallel and Distributed Processing (IPDPS)(2006) Google Scholar
  23. 23.
    Ullman, J.D.: NP-complete scheduling problems. J. Comput. Syst. Sci. 10, 384–393 (1975) MathSciNetCrossRefMATHGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.School of Computer ScienceThe Interdisciplinary CenterHerzliyaIsrael

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