Abstract
The online machine minimization problem seeks to design a preemptive scheduling algorithm on multiple machines — each job j arrives at its release time rj, has to be processed for pj time units, and must be completed by its deadline dj. The goal is to minimize the number of machines the algorithm uses. We improve the O(logm)-competitive algorithm by Chen, Megow and Schewior (SODA 2016) and provide an O([Formula presented])-competitive algorithm.
Original language | English |
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Pages (from-to) | 128-133 |
Number of pages | 6 |
Journal | Operations Research Letters |
Volume | 46 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2018 |
Keywords
- Analysis of algorithms
- Competitive ratio
- Online machine minimization
- Scheduling
All Science Journal Classification (ASJC) codes
- Software
- Management Science and Operations Research
- Industrial and Manufacturing Engineering
- Applied Mathematics