Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6875976 | Theoretical Computer Science | 2016 | 4 Pages |
Abstract
We consider the online scheduling on m unbounded drop-line batch machines with delivery times. Here a drop-line batch machine can process several jobs in a batch so that the processing time of a batch is equal to the longest processing time of the jobs in the batch, the jobs in a batch have the same starting time, and the completion time of a job is equal to the sum of its starting time and its processing time. Once the processing of a job is completed on the machine, we immediately deliver it to the destination. The objective is to minimize the time by which all jobs have been delivered. For this problem, we present a best possible online algorithm with a competitive ratio of 1+αm, where αm is the positive root of the equation α2+mαâ1=0.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Ji Tian, Qian Wang, Ruyan Fu, Jinjiang Yuan,