Strategy optimization of resource scheduling based on cluster rendering

被引：0
|
作者：
Qingyuan Zhou
Ranran Liu
机构：
[1] Changzhou Administrative College,
[2] Jiangsu University of Technology,undefined
来源：
Cluster Computing | 2016年 / 19卷
关键词：
Cluster rendering; Load balance; Genetic algorithm (GA); Heterogeneous system;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Job scheduling strategy of rendering was studied according to the scheduling model of heterogeneous cluster rendering system. Then, the work proposed the job scheduling strategy for heterogeneous cluster rendering as follows: Definition of load balancing measurement, influencing factors of model, construction of job scheduling model based on cluster rendering, and dynamic algorithm design based on genetic algorithm. The heterogeneous cluster rendering system achieved the effective scheduling algorithm for load balancing. The simulation results showed the algorithm had good load balancing. The work proposes the theoretical basis and new idea for resource scheduling of cluster system and cloud platform as well as the support for the effective use of resources. It has great significance.
引用
收藏
页码：2109 / 2117
页数：8
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