Approximation schemes for scheduling
SODA '97 Proceedings of the eighth annual ACM-SIAM symposium on Discrete algorithms
All-Norm Approximation Algorithms
SWAT '02 Proceedings of the 8th Scandinavian Workshop on Algorithm Theory
Convex programming for scheduling unrelated parallel machines
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
Approximation Algorithms for Scheduling on Multiple Machines
FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science
Load balancing of temporary tasks in the lp norm
Theoretical Computer Science - Approximation and online algorithms
Preemptive online scheduling: optimal algorithms for all speeds
ESA'06 Proceedings of the 14th conference on Annual European Symposium - Volume 14
Optimal on-line algorithms for the uniform machine scheduling problem with ordinal data
Information and Computation
Optimal preemptive scheduling for general target functions
Journal of Computer and System Sciences
A lower bound for on-line scheduling on uniformly related machines
Operations Research Letters
An optimal algorithm for preemptive on-line scheduling
Operations Research Letters
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We consider the on-line version of the preemptive schedulingproblem that minimizes the machine completion time vector in thelpnorm (a direct extension ofthe l∞norm: the makespan) on mparallel identical machines. We present a lower bound on thecompetitive ratio of any randomized on-line algorithm with respectto the general lpnorm. Thislower bound amounts to calculating a (non-convex) mathematicalprogram and generalizes the existing result on makespan. Whilesimilar technique has been utilized to provide the best possiblelower bound for makespan, the proposed lower bound failed toachieve the best possible lower bound for general lpnorm (though very close), and hence revealingintricate and essential difference between the generallpnorm and the makespan.