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Semi-online scheduling with machine cost

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Abstract

For most scheduling problems the set of machines is fixed initially and remains unchanged for the duration of the problem. Recently Imreh and Nogaproposed to add the concept of machine cost to scheduling problems and considered the so-calledList Model problem. An online algorithm with a competitive ratio 1.618 was given while the lower bound is 4/3. In this paper, two different semi-online versions of this problem are studied. In the first case, it is assumed that the processing time of the largest job is knowna priori. A semi-online algorithm is presented with the competitive ratio at most 1.5309 while the lower bound is 4/3. In the second case, it is assumed that the total processing time of all jobs is known in advance. A semi-online algorithm is presented with the competitive ratio at most 1.414 while the lower bound is 1.161. It is shown that the additional partial available information about the jobs leads to the possibility of constructing a schedule with a smaller competitive ratio than that of online algorithms.

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Authors and Affiliations

Authors

Corresponding author

Correspondence to He Yong.

Additional information

This research is supported by the National NKBRSF of China on “Applld Theory and High Performance Softwore for IT” (Grant No. 1998030401(2)), TRAPOYT, and the National Natural Science Foundation of China (Grant No.19701028).

HE Yong received his B.S., M.S., and Ph.D. degrees from Zhejiang University in 1989, 1992, 1996, respectively. He is currently a professor at the Department of Mathematics, Zhejiang University. His current research interests include combinatorial and network optimization, onlne algorithms, mathematical modeling, etc.

CAI Shengyi got his B.S. degree from Beijing Normal University in 1997. He is currently an M.S. student of Zhejiang University and an assistant professor at the Department of Mathematics, Wenzhou Teachers’ College. His current interests include scheduling and online algorithms.

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He, Y., Cai, S. Semi-online scheduling with machine cost. J. Compt. Sci. & Technol. 17, 781–787 (2002). https://doi.org/10.1007/BF02960768

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  • DOI: https://doi.org/10.1007/BF02960768

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