On the performance of on-line algorithms for partition problems
Acta Cybernetica
New algorithms for an ancient scheduling problem
STOC '92 Proceedings of the twenty-fourth annual ACM symposium on Theory of computing
An on-line scheduling heuristic with better worst case ratio than Graham's list scheduling
SIAM Journal on Computing
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Pareto approximations for the bicriteria scheduling problem
Journal of Parallel and Distributed Computing
Online parallel machines scheduling with two hierarchies
Theoretical Computer Science
Online hierarchical scheduling: An approach using mathematical programming
Theoretical Computer Science
Online scheduling of two job types on a set of multipurpose machines with unit processing times
Computers and Operations Research
Online scheduling with rejection and withdrawal
Theoretical Computer Science
Semi-online scheduling with decreasing job sizes
Operations Research Letters
Semi-online scheduling problems on a small number of machines
Journal of Scheduling
Lower bounds for online makespan minimization on a small number of related machines
Journal of Scheduling
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We investigate the problem of on-line scheduling a set of independent jobs on m parallel and identical machines with the objective of minimizing the overall finishing time. In this note, we are mainly interested in the cases where m is small. We derive results on the inevitable worst-case deviations from the optimum as encountered by any on-line algorithm. For m = 2 and m = 3, Graham's List Scheduling heuristic is known to be best possible. For m = 4, we will derive almost matching upper and lower bounds on the best possible worst-case guarantee for any on-line algorithm.