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Integration of a Multi-Stage Bulk Materials Acquisition System from the Viewpoint of Dock Operations
Hong Tau Lee 《Marine Georesources & Geotechnology》2001,19(3):207-219
A multi-stage bulk materials acquisition system is examined from the viewpoint of dock operations. The whole process can be divided into four stages and treated as four subsystems: ships scheduling planning, material yard planning, dock arrangement, and material discharging. Since the structure and the complexity of each subsystem is different, the solution approaches applied are also different with respect to each. To increase operations efficiency and data consistency, an integration of the subsystems by coordinating the operations sequence and data communications for the four subsystems is discussed. The four subsystems are illustrated by using the material docks of China Steel Corporation, and the models developed in this research are also validated. The results indicate that the models developed are capable of deriving solutions better than the existing ones. Although the discussions are confined to China Steel Corporation, the models can be applied to other companies with similar operations. 相似文献
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关于网格资源调度的探讨 总被引：2，自引：0，他引：2
随着计算机网络技术的飞速发展, 出现了第三代Internet技术网格计算(Grid Computing)。 网格是一种异构、 动态、 分布式的计算环境。 网格资源管理是网格的核心组件, 文中介绍了网格资源管理的特点, 分析了Globus工具集网格资源管理的核心组件。 网格资源调度是网格资源管理的核心部分, 也是网格资源管理中极其繁琐复杂的问题。 基于分析网格计算环境中资源管理的结构特点, 分析和总结了网格调度策略, 提出了多级资源调度模式, 给出了多级资源调度的模式。 相似文献
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Yong Xue Ziqiang Chen Hui Xu Jianwen Ai Shuzheng Jiang Yingjie Li Ying Wang Jie Guang Linlu Mei Xijuan Jiao Xingwei He Tingting Hou 《International Journal of Applied Earth Observation and Geoinformation》2011
The quality and accuracy of remote sensing instruments have been improved significantly, however, rapid processing of large-scale remote sensing data becomes the bottleneck for remote sensing quantitative retrieval applications. The remote sensing quantitative retrieval is a data-intensive computation application, which is one of the research issues of high throughput computation. The remote sensing quantitative retrieval Grid workflow is a high-level core component of remote sensing Grid, which is used to support the modeling, reconstruction and implementation of large-scale complex applications of remote sensing science. In this paper, we intend to study middleware components of the remote sensing Grid – the dynamic Grid workflow based on the remote sensing quantitative retrieval application on Grid platform. We designed a novel architecture for the remote sensing Grid workflow. According to this architecture, we constructed the Remote Sensing Information Service Grid Node (RSSN) with Condor. We developed a graphic user interface (GUI) tools to compose remote sensing processing Grid workflows, and took the aerosol optical depth (AOD) retrieval as an example. The case study showed that significant improvement in the system performance could be achieved with this implementation. The results also give a perspective on the potential of applying Grid workflow practices to remote sensing quantitative retrieval problems using commodity class PCs. 相似文献
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