On-line scheduling of unit time jobs with rejection: Minimizing the total completion time

Leah Epstein; John Noga; Gerhard Woeginger

doi:10.1016/S0167-6377(02)00160-8

On-line scheduling of unit time jobs with rejection: Minimizing the total completion time

Leah Epstein, John Noga, Gerhard Woeginger

Discrete Mathematics and Mathematical Programming

Research output: Contribution to journal › Article › Academic › peer-review

56 Citations (Scopus)

Abstract

We consider on-line scheduling of unit time jobs on a single machine with job-dependent penalties. The jobs arrive on-line (one by one) and can be either accepted and scheduled, or be rejected at the cost of a penalty. The objective is to minimize the total completion time of the accepted jobs plus the sum of the penalties of the rejected jobs. We give an on-line algorithm for this problem with competitive ratio . Moreover, we prove that there does not exist an on-line algorithm with competitive ratio better than 1.63784.

Original language	English
Pages (from-to)	415-420
Journal	Operations research letters
Volume	30
Issue number	6
DOIs	https://doi.org/10.1016/S0167-6377(02)00160-8
Publication status	Published - 2002

Keywords

IR-74863
On-line algorithm
Scheduling
Worst-case bounds
METIS-208618
Competitive Analysis

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AB - We consider on-line scheduling of unit time jobs on a single machine with job-dependent penalties. The jobs arrive on-line (one by one) and can be either accepted and scheduled, or be rejected at the cost of a penalty. The objective is to minimize the total completion time of the accepted jobs plus the sum of the penalties of the rejected jobs. We give an on-line algorithm for this problem with competitive ratio . Moreover, we prove that there does not exist an on-line algorithm with competitive ratio better than 1.63784.

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KW - Scheduling

KW - Worst-case bounds

KW - METIS-208618

KW - Competitive Analysis

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