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Feasibility of using existing web services for on-demand data access within distributed environmental decision support systems

机译:在分布式环境决策支持系统中使用现有Web服务进行按需数据访问的可行性

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摘要

Web services providing machine-accessible interfaces to environmental data are now commonplace. Building on this, a current trend is to expand these web services to provide on-demand access to model and analysis services. This progression suggests the future possibility of cloud-based decision support systems (DSSs) integrating distributed data and analysis services delivered through a host of providers. Such distributed environmental DSSs have many potential benefits, but would require highly scalable and responsive web services. The objective of this study is to assess the current feasibility of building distributed environmental DSSs from existing web services in the United States. Results show that, of the many available web services providing information about soils, river network topology, watersheds, streamflow, etc., response times are often only a few seconds for a small project area, but can grow exponentially as the project area increases. On-demand watershed delineation remains a slow-to-respond service relative to the other services tested. Also, the results suggest the need to better co-locate servers near client applications to speed up response times. Collectively, these results provide specific areas where future research is needed in order to achieve the vision of on-demand distributed environmental DSSs.
机译:提供对环境数据的机器可访问接口的Web服务现在很普遍。在此基础上,当前的趋势是扩展这些Web服务,以提供对模型和分析服务的按需访问。这种进展表明未来基于云的决策支持系统(DSS)集成分布式数据和通过许多提供商提供的分析服务的可能性。这样的分布式环境DSS具有许多潜在的好处,但是将需要高度可伸缩且响应迅速的Web服务。这项研究的目的是评估从美国现有的Web服务构建分布式环境DSS的当前可行性。结果表明,在提供有关土壤,河网拓扑,流域,水流等信息的许多可用Web服务中,对于一个较小的项目区域,响应时间通常仅为几秒钟,但是随着项目区域的增加,响应时间可能呈指数增长。与其他测试服务相比,按需分水岭划定仍然是响应速度较慢的服务。同样,结果表明需要更好地将服务器放置在客户端应用程序附近,以加快响应时间。总的来说,这些结果提供了需要进一步研究的特定领域,以实现按需分布式环境DSS的愿景。

著录项

  • 来源
    《Journal of Hydroinformatics》 |2018年第2期|263-280|共18页
  • 作者单位

    Department of Civil and Environmental Engineering, University of Virginia, Charlottesville, Virginia;

    Department of Civil and Environmental Engineering, University of Virginia, Charlottesville, Virginia;

    Department of Civil and Environmental Engineering, University of Virginia, Charlottesville, Virginia,Irrigation and Hydraulics Department, Faculty of Engineering, Cairo University, P.O. Box 12211, Giza 12613, Egypt;

    Department of Civil and Environmental Engineering, University of Virginia, Charlottesville, Virginia;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    decision support systems; environmental modeling; web services;

    机译:决策支持系统;环境建模;网络服务;

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