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Theoretical Computer Science
Volume 339, Issues 2-3, 12 June 2005, Pages 293-314
 
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doi:10.1016/j.tcs.2005.02.008    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2005 Elsevier B.V. All rights reserved.

Optimal semi-online preemptive algorithms for machine covering on two uniform machinesstar, open

Yong Hea, b, Corresponding Author Contact Information, E-mail The Corresponding Author, E-mail The Corresponding Author and Yiwei Jianga, b

aDepartment of Mathematics, Zhejiang University, Hangzhou 310027, PR China bState Key Lab of CAD & CG, Zhejiang University, Hangzhou 310027, PR China

Received 19 August 2004; 
revised 17 February 2005; 
accepted 21 February 2005. 
Communicated by D.-Z. Du. 
Available online 5 April 2005.

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Abstract

In this paper, we consider the semi-online preemptive scheduling problem with decreasing job sizes on two uniform machines. Our goal is to maximize the continuous period of time (starting from time zero) when both machines are busy, which is equivalent to maximizing the minimum machine completion time if idle time is not introduced before all the jobs are completed. We design optimal deterministic semi-online algorithms for every machine speed ratio sset membership, variant[1,∞), and show that idle time is required during the assignment procedure of algorithms for any View the MathML source. The competitive ratios of the algorithms match the randomized lower bound for every 1less-than-or-equals, slantsless-than-or-equals, slant3. The problem of whether randomization still does not help for the discussed preemptive scheduling problem remains open.

Keywords: Online algorithm; Preemptive scheduling; Machine covering; Competitive ratio


 
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