Tighter bounds for LPT scheduling on uniform processors
SIAM Journal on Computing
New algorithms for an ancient scheduling problem
Journal of Computer and System Sciences - Special issue on selected papers presented at the 24th annual ACM symposium on the theory of computing (STOC '92)
A better algorithm for an ancient scheduling problem
Journal of Algorithms
A simple semi on-line algorithm for P2//Cmax with a buffer
Information Processing Letters
Better Bounds for Online 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
Improved Bounds for the Online Scheduling Problem
SIAM Journal on Computing
The Power of Reordering for Online Minimum Makespan Scheduling
FOCS '08 Proceedings of the 2008 49th Annual IEEE Symposium on Foundations of Computer Science
Online scheduling on two uniform machines to minimize the makespan
Theoretical Computer Science
Online Scheduling with Bounded Migration
Mathematics of Operations Research
Online scheduling with rearrangement on two related machines
Theoretical Computer Science
Optimal algorithms for online scheduling with bounded rearrangement at the end
Theoretical Computer Science
Preemptive Online Scheduling with Reordering
SIAM Journal on Discrete Mathematics
Online scheduling with reassignment
Operations Research Letters
Semi on-line algorithms for the partition problem
Operations Research Letters
Semi-online hierarchical scheduling problems with buffer or rearrangements
Information Processing Letters
Semi-online scheduling with two GoS levels and unit processing time
Theoretical Computer Science
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In this paper we study an online minimum makespan scheduling problem with a reordering buffer. We obtain the following results, which improve on work from FOCS 2008: i) for m identical machines, we give a 1.5-competitive online algorithm with a buffer of size 1.5m , which is better than the previous best result : 1.5-competitive algorithm with a buffer of size 1.6197m ; ii) for three identical machines, to give an optimal online algorithm we reduce the size of the buffer from nine to six; iii) for m uniform machines, using a buffer of size m , we improve the competitive ratio from 2+ε to 2−1/m +ε , where ε 0 is sufficiently small.