Resource Scheduling Algorithm in Embedded Cloud Computing and Application

被引：0
|
作者：
He, Pengju [1 ]
Liang, Yan [1 ]
Chou, Xingxing [1 ]
机构：
[1] Northwestern Polytech Univ, Dept Automat, Xian 710129, Peoples R China
来源：
2014 IIAI 3RD INTERNATIONAL CONFERENCE ON ADVANCED APPLIED INFORMATICS (IIAI-AAI 2014) | 2014年
关键词：
Embedded cloud; Resource scheduling; Multi-objective optimization; Particle swarm algorithm; Simulation and application;
D O I：
10.1109/IIAI-AAI.2014.92
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In order to make the embedded cloud computing resources to achieve efficient and real-time task scheduling, this paper puts forward a method of resource scheduling that task completion time and resource load balancing degree as the objective function and using multi-objective particle swarm optimization algorithm to optimize the task scheduling. Simulation results verify the effectiveness of the algorithm, and Applied to a embedded cloud control and measurement system in one oilfield, the results show that this system whose resource scheduling based on multi-objective particle swarm optimization algorithm can meet the real-time requirement of the practical application, and has good practicability.
引用
收藏
页码：425 / 429
页数：5
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