Heuristics for Online Scheduling on Identical Parallel Machines with Two GoS Levels

被引:0
|
作者
CAI Shuang [1 ,2 ,3 ]
LIU Ke [2 ,3 ]
机构
[1] Logistics R&D Department, Beijing Jingdong Zhenshi Information Technology Co., Ltd
[2] Academy of Mathematics and Systems Science, Chinese Academy of Sciences
[3] University of Chinese Academy of Sciences
基金
中国国家自然科学基金;
关键词
Grade of Service(GoS) constraints; heuristic algorithm; online scheduling; parallel machine scheduling;
D O I
暂无
中图分类号
TP301.6 [算法理论];
学科分类号
081202 ;
摘要
This paper considers the online scheduling problem on m(m ≥ 3) parallel machines(the first k machines with grade 1 and the remaining m-k machines with grade 2) with two Go S levels and makespan as the objective function. The jobs arrive over time with grade 1 or 2 and an arrival job can be assigned to a machine only when the grade of the job is no less than the grade of the machine. Three cases are considered:(i) For k = 1, the authors present an online algorithm with competitive ratio of9/5.(ii) For 1 < k < m-1, an online algorithm with competitive ratio of 2.280 is proposed.(iii)For k = m-1, an online algorithm is presented with competitive ratio of 2. All the three algorithms are based on greedy algorithm with a similar structure. At last, numerical instances are given and the average competitive ratios of the instances show good performance of the proposed algorithms.
引用
收藏
页码:1180 / 1193
页数:14
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