Theoretical Computer Science - Special issue on dynamic and on-line algorithms
Online computation and competitive analysis
Online computation and competitive analysis
SODA '94 Proceedings of the fifth annual ACM-SIAM symposium on Discrete algorithms
Minimizing flow time nonclairvoyantly
Journal of the ACM (JACM)
Patience is a virtue: the effect of slack on competitiveness for admission control
Journal of Scheduling - Special issue: On-line algorithm part I
Nonclairvoyant scheduling to minimize the total flow time on single and parallel machines
Journal of the ACM (JACM)
Scheduling broadcasts with deadlines
COCOON'03 Proceedings of the 9th annual international conference on Computing and combinatorics
Laxity helps in broadcast scheduling
ICTCS'05 Proceedings of the 9th Italian conference on Theoretical Computer Science
Improved on-line broadcast scheduling with deadlines
COCOON'06 Proceedings of the 12th annual international conference on Computing and Combinatorics
Competitive strategies for on-line production order disposal problem
AAIM'05 Proceedings of the First international conference on Algorithmic Applications in Management
A near optimal scheduler for on-demand data broadcasts
CIAC'06 Proceedings of the 6th Italian conference on Algorithms and Complexity
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This paper will study an online non-uniform length order scheduling problem. For the case where online strategies have the knowledge of Δbeforehand, which is the ratio between the longest and shortest length of order, Ting [3] proved an upper bound of $(\frac{6\Delta}{\log\Delta}+O(\Delta^{5/6}))$ and Zheng et al. [2] proved a matching lower bound. This work will consider the scenario where online strategies do not have the knowledge of Δat the beginning. Our main work is a $(\frac{6\Delta}{\log\Delta}+O(\Delta^{5/6}))$-competitive optimal strategy, extending the result of Ting [3] to a more general scenery.