面向任务需求与服务能力的遥感任务调度算法
发布时间:2018-09-19 17:22
【摘要】:针对目前遥感产品生产集群效率较低、集群负载不均衡的问题,提出了一种基于任务需求与服务能力匹配的遥感产品生产任务调度算法。算法不再单一考虑生产节点一方面因素,同时引入了遥感产品本身的任务需求因素;依据遥感影像的特点和遥感产品生产流程的特殊性,将任务需求与生产节点服务能力分别赋予一定的值,通过将2个因素的值相匹配,作为任务调度的依据。该算法与传统的轮转法、使用率乘积法等调度算法相比,具有调度效率高、集群不均衡度小的优点,提高了遥感产品的生产效率和遥感产品服务社会的能力。
[Abstract]:Aiming at the problems of low efficiency and unbalanced load of remote sensing product production cluster, a task scheduling algorithm for remote sensing product production based on matching task requirements and service capability is proposed. The algorithm does not only consider the production node on the one hand, but also introduces the task demand factor of remote sensing product itself, according to the characteristics of remote sensing image and the particularity of production process of remote sensing product, The task requirement and the service ability of the production node are assigned to a certain value respectively. By matching the values of the two factors, the task scheduling is based on. Compared with the traditional rotation method and the utilization rate product method, this algorithm has the advantages of high scheduling efficiency and low cluster imbalance, and improves the production efficiency of remote sensing products and the ability of remote sensing products to serve the society.
【作者单位】: 河南大学数据与知识工程研究所;河南大学环境与规划学院;
【基金】:河南省科技发展计划(172102310666) 河南大学科研基金(xxjc20140007)
【分类号】:TP70
本文编号:2250805
[Abstract]:Aiming at the problems of low efficiency and unbalanced load of remote sensing product production cluster, a task scheduling algorithm for remote sensing product production based on matching task requirements and service capability is proposed. The algorithm does not only consider the production node on the one hand, but also introduces the task demand factor of remote sensing product itself, according to the characteristics of remote sensing image and the particularity of production process of remote sensing product, The task requirement and the service ability of the production node are assigned to a certain value respectively. By matching the values of the two factors, the task scheduling is based on. Compared with the traditional rotation method and the utilization rate product method, this algorithm has the advantages of high scheduling efficiency and low cluster imbalance, and improves the production efficiency of remote sensing products and the ability of remote sensing products to serve the society.
【作者单位】: 河南大学数据与知识工程研究所;河南大学环境与规划学院;
【基金】:河南省科技发展计划(172102310666) 河南大学科研基金(xxjc20140007)
【分类号】:TP70
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相关硕士学位论文 前2条
1 方鑫;遥感产品生产集群中动态双向匹配任务调度算法的应用研究[D];河南大学;2016年
2 张勇;分布式系统中处理机的任务调度算法研究[D];江南大学;2008年
,本文编号:2250805
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