【摘要】：針對目前遙感產品生產集群效率較低、集群負載不均衡的問題,提出了一種基于任務需求與服務能力匹配的遙感產品生產任務調度算法。算法不再單一考慮生產節(jié)點一方面因素,同時引入了遙感產品本身的任務需求因素;依據遙感影像的特點和遙感產品生產流程的特殊性,將任務需求與生產節(jié)點服務能力分別賦予一定的值,通過將2個因素的值相匹配,作為任務調度的依據。該算法與傳統的輪轉法、使用率乘積法等調度算法相比,具有調度效率高、集群不均衡度小的優(yōu)點,提高了遙感產品的生產效率和遙感產品服務社會的能力。
[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.
【作者單位】： 河南大學數據與知識工程研究所;河南大學環(huán)境與規(guī)劃學院;
【基金】：河南省科技發(fā)展計劃(172102310666) 河南大學科研基金(xxjc20140007)
【分類號】：TP70

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1 方鑫;遙感產品生產集群中動態(tài)雙向匹配任務調度算法的應用研究[D];河南大學;2016年

2 張勇;分布式系統中處理機的任務調度算法研究[D];江南大學;2008年

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本文編號：2250805