Theoretical Analysis of Workload Imbalance Minimization Problem on Identical Parallel Machines

被引:4
|
作者
Ouazene, Yassine [1 ]
Yalaoui, Farouk [1 ]
Yalaoui, Alice [1 ]
Chehade, Hicham [2 ]
机构
[1] Univ Technol Troyes, UMR CNRS 6281, Inst Charles Delaunay, Lab Optimisat Syst Ind, 12 Rue Marie Curie,CS 42060, F-10004 Troyes, France
[2] Opta Lp, 2 Rue Gustave Eiffel, F-10430 Rosieres Pres Troyes, France
来源
INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2016, PT II | 2016年 / 9622卷
关键词
Parallel machines; Workload balancing; Normalized sum of square for workload deviations; Mean absolute error;
D O I
10.1007/978-3-662-49390-8_29
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper considers the problem of assigning N non-preemptive jobs to M identical parallel machines or processors as equally as possible. This problem is known as workload imbalance minimization problem. First, we establish that this problem can be formulated as the difference between the maximum and minimum workloads. In other words, it is defined as the minimization of the difference between the workload of the bottleneck machine and the workload of the fastest machine. Then, we present comparative analysis between this criterion and other criteria proposed in the literature such as: The average absolute deviation from the mean value of the total workload and Normalized Sum of Square for Workload Deviations (NSSWD) criteria proposed in the literature.
引用
收藏
页码:296 / 303
页数:8
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