Scheduling jobs online on linear hierarchical parallel machines

被引:0
|
作者
Xin X. [1 ]
Mou M. [1 ]
Mu G. [1 ]
机构
[1] College of Foreign Studies, Shandong Institute of Business and Technology, Yantai
来源
Xin, Xiao | 2016年 / UK Simulation Society, Clifton Lane, Nottingham, NG11 8NS, United Kingdom卷 / 17期
基金
中国国家自然科学基金;
关键词
Constant competitive ratio; Linear hierarchy; Machine eligibility constraints; Maximum flow time; Online scheduling; Parallel machines;
D O I
10.5013/IJSSST.a.17.47.40
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
A parallel machine scheduling problem is considered in the presence of machine eligibility restrictions. The machines run at the same constant speed but they form a linear hierarchy of capability, i.e., leftward machines are more capable than rightward ones. Jobs arrive online over time at their release times. The processing time of a job will be known immediately upon its arrival. Each job specifies the least capable machine that can process it, and this job can be assigned to any of the machines to the left of this machine (including this machine itself). The jobs must be processed non-preemptively. The objective is to minimize the maximum flow time, where the flow time of a job is defined to be the difference between its release time and completion time. A constant competitive ratio algorithm for the problem is presented. Previously, no such result was known even in the offline setting. © 2016, UK Simulation Society. All rights reserved.
引用
收藏
页码:40.1 / 40.5
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