We discuss variants of online scheduling on identical and uniformly related machines, where the objective is to minimize the makespan. All variants are such that some information regarding the input is provided in advance, and therefore these models are known as semi-online problems. Algorithms are analyzed with respect to the competitive ratio. We discuss the benefit arising from different kinds of available information and find that almost all variants allow one to reduce the competitive ratio significantly compared to the best possible competitive ratio for the corresponding pure online problem.
Bibliographical noteFunding Information:
Partially supported by a grant from GIF–the German–Israeli Foundation for Scientific Research and Development (Grant Number I-1366-407.6/2016).
© 2018, Springer Science+Business Media, LLC, part of Springer Nature.
- Bin stretching
- Competitive ratio
- Known total size
- Reordering buffers
- Semi-online algorithms
ASJC Scopus subject areas
- Engineering (all)
- Management Science and Operations Research
- Artificial Intelligence