Online scheduling of equal length jobs on unbounded parallel batch processing machines with limited restart |
| |
Authors: | Hailing Liu Jinjiang Yuan Wenjie Li |
| |
Affiliation: | 1.School of Mathematics and Statistics,Zhengzhou University,Zhengzhou,People’s Republic of China;2.College of Science,Henan Institute of Engineering, Zhengzhou,People’s Republic of China;3.School of Mathematical Sciences,Luoyang Normal University,Luoyang,People’s Republic of China |
| |
Abstract: | We consider the online scheduling of equal length jobs on unbounded parallel batch processing machines to minimize makespan with limited restart. In the problem (m) identical unbounded parallel batch processing machines are available to process the equal length jobs arriving over time. The processing batches are allowed limited restart. Here, “restart” means that a running task may be interrupted, losing all the work done on it, and the jobs in the interrupted task are then released and become independently unscheduled jobs, called restarted jobs. “Limited restart” means that only a running batch that contains no restarted jobs can be restarted. For this problem, we present a best possible online algorithm. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|