Years and Authors of Summarized Original Work
-
1999; Afrati et al.
Problem Definition
The minimum weighted completion time problem involves (i) a set J of n jobs, a positive weight w j for each job j ∈ J, and a release date r j before which it cannot be scheduled; (ii) a set of m machines, each of which can process at most one job at any time; and (iii) an arbitrary set of positive values {pi, j}, where pi, j denotes the time to process job j on machine i. A schedule involves assigning jobs to machines and choosing an order in which they are processed. Let C j denote the completion time of job j for a given schedule. The weighted completion time of a schedule is defined as ∑j ∈ Jw j C j , and the goal is to compute a schedule that has the minimum weighted completion time.
In the scheduling notation introduced by Graham et al. [8], a scheduling problem is denoted by a 3-tuple α | β | γ, where α denotes the machine environment, β denotes the additional constraints on jobs, and γdenotes...
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Recommended Reading
Afrati FN, Bampis E, Chekuri C, Karger DR, Kenyon C, Khanna S, Milis I, Queyranne M, Skutella M, Stein C, Sviridenko M (1999) Approximation schemes for minimizing average weighted completion time with release dates. In: Proceedings of the foundations of computer science, pp 32–44
Bansal N, Kulkarni J (2014) Minimizing flow-time on unrelated machines. arXiv:1401.7284
Bruno JL, Coffman EG, Sethi R (1974) Scheduling independent tasks to reduce mean finishing time. Commun ACM 17:382–387
Chekuri C, Khanna S (2004) Approximation algorithms for minimizing weighted completion time. In: Leung JY-T (eds) Handbook of scheduling: algorithms, models, and performance analysis. CRC, Boca Raton
Chekuri C, Motwani R, Natarajan B, Stein C (2001) Approximation techniques for average completion time scheduling. SIAM J Comput 31(1):146–166
Goemans M, Queyranne M, Schulz A, Skutella M, Wang Y (2002) Single machine scheduling with release dates. SIAM J Discret Math 15:165–192
Goldberg LA, Paterson M, Srinivasan A, Sweedyk E (2001) Better approximation guarantees for job-shop scheduling. SIAM J Discret Math 14:67–92
Graham RL, Lawler EL, Lenstra JK, Rinnooy Kan AHG (1979) Optimization and approximation in deterministic sequencing and scheduling: a survey. Ann Discret Math 5:287–326
Hall LA, Schulz AS, Shmoys DB, Wein J (1997) Scheduling to minimize average completion time: off-line and on-line approximation algorithms. Math Oper Res 22(3):513–544
Horn W (1973) Minimizing average flow time with parallel machines. Oper Res 21:846–847
Kumar VSA, Marathe MV, Parthasarathy S, Srinivasan A (2005) Scheduling on unrelated machines under tree-like precedence constraints. In: APPROX-RANDOM, pp 146–157
Skutella M (2001) Convex quadratic and semidefinite relaxations in scheduling. J ACM 46(2):206–242
Skutella M, Woeginger GJ (1999) A PTAS for minimizing the weighted sum of job completion times on parallel machines. In: Proceedings of the 31st annual ACM symposium on theory of computing (STOC’99), pp 400–407
Smith WE (1956) Various optimizers for single-stage production. Nav Res Log Q 3:59–66
Acknowledgements
The Research of V.S. Anil Kumar and M.V. Marathe was supported in part by NSF Award CNS-0626964. A. Srinivasan’s research was supported in part by NSF Award CNS-0626636.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer Science+Business Media New York
About this entry
Cite this entry
Kumar, V.S.A., Marathe, M., Parthasarathy, S., Srinivasan, A. (2016). Minimum Weighted Completion Time. In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2864-4_240
Download citation
DOI: https://doi.org/10.1007/978-1-4939-2864-4_240
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4939-2863-7
Online ISBN: 978-1-4939-2864-4
eBook Packages: Computer ScienceReference Module Computer Science and Engineering