Online and semi-online scheduling on two hierarchical machines with a common due date to maximize the total early work

September 19, 2022 Β· Declared Dead Β· πŸ› International Journal of Applied Mathematics and Computer Sciences

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Authors Man Xiao, Xiaoqiao Liu, Weidong Li, Xin Chen, Malgorzata Sterna, Jacek Blazewicz arXiv ID 2209.08704 Category cs.DS: Data Structures & Algorithms Cross-listed math.OC Citations 6 Venue International Journal of Applied Mathematics and Computer Sciences Last Checked 4 months ago
Abstract
In this study, we investigated several online and semi-online scheduling problems on two hierarchical machines with a common due date to maximize the total early work. For the pure online case, we designed an optimal online algorithm with a competitive ratio of $\sqrt 2$. For the case when the total processing time is known, we proposed an optimal semi-online algorithm with a competitive ratio of $\frac{4}{3}$. Additionally, for the cases when the largest processing time is known, we gave optimal algorithms with a competitive ratio of $\frac{6}{5}$ if the largest job is a lower hierarchy one, and of $\sqrt 5-1$ if the largest job is a higher hierarchy one, respectively.
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