...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International journal of digital Earth >Spatial cloud computing: how can the geospatial sciences use and help shape cloud computing
【24h】

Spatial cloud computing: how can the geospatial sciences use and help shape cloud computing

机译：空间云计算：地理空间科学如何使用和帮助塑造云计算

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The geospatial sciences face grand information technology (IT) challenges in the twenty-first century: data intensity, computing intensity, concurrent access intensity and spatiotemporal intensity. These challenges require the readiness of a computing infrastructure that can: (1) better support discovery, access and utilization of data and data processing so as to relieve scientists and engineers of IT tasks and focus on scientific discoveries; (2) provide real-time IT resources to enable real-time applications, such as emergency response; (3) deal with access spikes; and (4) provide more reliable and scalable service for massive numbers of concurrent users to advance public knowledge. The emergence of cloud computing provides a potential solution with an elastic, on-demand computing platform to integrate observation systems, parameter extracting algorithms, phenomena simulations, analytical visualization and decision support, and to provide social impact and user feedback the essential elements of the geospatial sciences. We discuss the utilization of cloud computing to support the intensities of geospatial sciences by reporting from our investigations on how cloud computing could enable the geospatial sciences and how spatiotemporal principles, the kernel of the geospatial sciences, could be utilized to ensure the benefits of cloud computing. Four research examples are presented to analyze how to: (1) search, access and utilize geospatial data; (2) configure computing infrastructure to enable the computability of intensive simulation models; (3) disseminate and utilize research results for massive numbers of concurrent users; and (4) adopt spatiotemporal principles to support spatiotemporal intensive applications. The paper concludes with a discussion of opportunities and challenges for spatial cloud computing (SCC).
机译：地理空间科学在二十一世纪面临着巨大的信息技术（IT）挑战：数据强度，计算强度，并发访问强度和时空强度。这些挑战要求计算机基础架构具备以下条件：（1）更好地支持数据以及数据处理的发现，访问和利用，以减轻科学家和工程师的IT任务负担，并专注于科学发现; （2）提供实时IT资源以启用实时应用程序，例如紧急响应; （3）处理访问高峰; （4）为大量并发用户提供更可靠和可扩展的服务，以提高公共知识。云计算的出现为弹性的按需计算平台提供了一种潜在的解决方案，该平台可集成观察系统，参数提取算法，现象模拟，分析可视化和决策支持，并提供社会影响和用户反馈地理空间的基本要素科学。通过对云计算如何支持地理空间科学以及如何利用时空原理（地理空间科学的核心）进行调查的报告，我们讨论了如何利用云计算来支持地理空间科学的强度。给出了四个研究实例来分析如何：（1）搜索，访问和利用地理空间数据; （2）配置计算基础架构以实现密集仿真模型的可计算性; （3）为大量并发用户传播和利用研究结果; （4）采用时空原理来支持时空密集型应用。本文最后讨论了空间云计算（SCC）的机遇与挑战。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号