Spatial cloud computing

How can the geospatial sciences use and help shape cloud computing?

Chaowei Yang, Michael Goodchild, Qunying Huang, Doug Nebert, Robert Raskin, Yan Xu, Myra Bambacus, Daniel Fay

Research output: Contribution to journalArticle

222 Citations (Scopus)

Abstract

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).

Original languageEnglish (US)
Pages (from-to)305-329
Number of pages25
JournalInternational Journal of Digital Earth
Volume4
Issue number4
DOIs
StatePublished - Jul 1 2011
Externally publishedYes

Fingerprint

Cloud computing
information technology
Information technology
infrastructure
social impact
twenty first century
simulation
visualization
Visualization
science
Feedback
Engineers
resource

Keywords

  • Cyber gis
  • Digital earth
  • Geodynamics
  • Geospatial cyberinfrastructure
  • High-performance computing
  • Space-time

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Cite this

Spatial cloud computing : How can the geospatial sciences use and help shape cloud computing? / Yang, Chaowei; Goodchild, Michael; Huang, Qunying; Nebert, Doug; Raskin, Robert; Xu, Yan; Bambacus, Myra; Fay, Daniel.

In: International Journal of Digital Earth, Vol. 4, No. 4, 01.07.2011, p. 305-329.

Research output: Contribution to journalArticle

Yang, Chaowei ; Goodchild, Michael ; Huang, Qunying ; Nebert, Doug ; Raskin, Robert ; Xu, Yan ; Bambacus, Myra ; Fay, Daniel. / Spatial cloud computing : How can the geospatial sciences use and help shape cloud computing?. In: International Journal of Digital Earth. 2011 ; Vol. 4, No. 4. pp. 305-329.
@article{ff3c307ade2b40ac902b0fce64fbb7a6,
title = "Spatial cloud computing: How can the geospatial sciences use and help shape cloud computing?",
abstract = "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).",
keywords = "Cyber gis, Digital earth, Geodynamics, Geospatial cyberinfrastructure, High-performance computing, Space-time",
author = "Chaowei Yang and Michael Goodchild and Qunying Huang and Doug Nebert and Robert Raskin and Yan Xu and Myra Bambacus and Daniel Fay",
year = "2011",
month = "7",
day = "1",
doi = "10.1080/17538947.2011.587547",
language = "English (US)",
volume = "4",
pages = "305--329",
journal = "International Journal of Digital Earth",
issn = "1753-8947",
publisher = "Taylor and Francis Ltd.",
number = "4",

}

TY - JOUR

T1 - Spatial cloud computing

T2 - How can the geospatial sciences use and help shape cloud computing?

AU - Yang, Chaowei

AU - Goodchild, Michael

AU - Huang, Qunying

AU - Nebert, Doug

AU - Raskin, Robert

AU - Xu, Yan

AU - Bambacus, Myra

AU - Fay, Daniel

PY - 2011/7/1

Y1 - 2011/7/1

N2 - 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).

AB - 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).

KW - Cyber gis

KW - Digital earth

KW - Geodynamics

KW - Geospatial cyberinfrastructure

KW - High-performance computing

KW - Space-time

UR - http://www.scopus.com/inward/record.url?scp=79959558046&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79959558046&partnerID=8YFLogxK

U2 - 10.1080/17538947.2011.587547

DO - 10.1080/17538947.2011.587547

M3 - Article

VL - 4

SP - 305

EP - 329

JO - International Journal of Digital Earth

JF - International Journal of Digital Earth

SN - 1753-8947

IS - 4

ER -