【摘要】：針對(duì)目前遙感產(chǎn)品生產(chǎn)集群效率較低、集群負(fù)載不均衡的問題,提出了一種基于任務(wù)需求與服務(wù)能力匹配的遙感產(chǎn)品生產(chǎn)任務(wù)調(diào)度算法。算法不再單一考慮生產(chǎn)節(jié)點(diǎn)一方面因素,同時(shí)引入了遙感產(chǎn)品本身的任務(wù)需求因素;依據(jù)遙感影像的特點(diǎn)和遙感產(chǎn)品生產(chǎn)流程的特殊性,將任務(wù)需求與生產(chǎn)節(jié)點(diǎn)服務(wù)能力分別賦予一定的值,通過將2個(gè)因素的值相匹配,作為任務(wù)調(diào)度的依據(jù)。該算法與傳統(tǒng)的輪轉(zhuǎn)法、使用率乘積法等調(diào)度算法相比,具有調(diào)度效率高、集群不均衡度小的優(yōu)點(diǎn),提高了遙感產(chǎn)品的生產(chǎn)效率和遙感產(chǎn)品服務(wù)社會(huì)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(xué)數(shù)據(jù)與知識(shí)工程研究所;河南大學(xué)環(huán)境與規(guī)劃學(xué)院;
【基金】：河南省科技發(fā)展計(jì)劃(172102310666) 河南大學(xué)科研基金(xxjc20140007)
【分類號(hào)】：TP70

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1 方鑫;遙感產(chǎn)品生產(chǎn)集群中動(dòng)態(tài)雙向匹配任務(wù)調(diào)度算法的應(yīng)用研究[D];河南大學(xué);2016年

2 張勇;分布式系統(tǒng)中處理機(jī)的任務(wù)調(diào)度算法研究[D];江南大學(xué);2008年

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