摘要
为进一步掌握网格资源动态运行状态,以便合理调度网格资源,提高任务执行效率,提出了一种基于改进蚁群算法的网格资源调度策略。该算法引入了一个网格资源空闲所需时间向量F,通过向量F动态调整网格资源负载情况,达到快速实现遥感资源空间检索的目的。从仿真实验结果可以看出,改进蚁群算法比蚁群算法和其他算法更优,网格资源的利用效率更高。
To further control the running stations of grid resources so as to improve the efficiency of tasks execution through scheduling computing resources reasonably, a new task scheduling algorithm based on ant colony optimization （ACO） is proposed in control of the load balancing of grid resources dynamically. In this algorithm, a vector F is designed, which is used to describe the idle state of grid resources to monitor the load of grid resources. So a better scheduling strategy is adopted by F to retrieve spatial information of remote sensing fast. According to the experimental results, the proposed algorithm confidently demon strates its competitiveness with previously proposed algorithms.
出处
《计算机工程与设计》
CSCD
北大核心
2013年第2期502-506,共5页
Computer Engineering and Design
基金
国家863高新技术研究发展技术基金项目(2011AA7013031)
