We study randomized on-line scheduling on mesh machines. We show that for scheduling independent jobs randomized algorithms can achieve a significantly better performance than deterministic ones; on the other hand with dependencies randomization does not help.
On an on-line scheduling problem for parallel jobs
โ Scribed by Edwin Naroska; Uwe Schwiegelshohn
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 101 KB
- Volume
- 81
- Category
- Article
- ISSN
- 0020-0190
No coin nor oath required. For personal study only.
โฆ Synopsis
This paper addresses the non-preemptive on-line scheduling of parallel jobs. In particular we assume that the release dates and the processing times of the jobs are unknown. It is already known that for this problem Garey and Graham's list scheduling algorithm achieves the competitive factor 2 -1 m for the makespan if m identical machines are available and if each job requires only a single machine for processing. Here, we show that the same factor also holds in the case of parallel jobs.
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