Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

e-Science and its implications.

Tony Hey1, Anne Trefethen

  • 1UK e-Science Core Programme, Engineering and Physical Sciences Research Council, Polaris House, Swindon SN2 1ET, UK.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|September 4, 2003
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Open science and Big Data in South Africa.

Frontiers in research metrics and analytics·2022
Same author

The Role of Digital Technologies in Responding to the Grand Challenges of the Natural Environment: The Windermere Accord.

Patterns (New York, N.Y.)·2021
Same author

Machine learning and big scientific data.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2020
Same author

Glyph-Based Video Visualization for Semen Analysis.

IEEE transactions on visualization and computer graphics·2015
Same author

Toward interoperable bioscience data.

Nature genetics·2012
Same author

On the Usage of GPUs for Efficient Motion Estimation in Medical Image Sequences.

International journal of biomedical imaging·2011
Same journal

Inverse FIP effect plasma in the solar atmosphere: a synthesis of current understanding and new insights from AR 11967.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Signs of sulfur fractionation under high magnetic field strength.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

First ionization potential fractionation of sulfur observed with spectral imaging of the coronal environment.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Chromospheric dynamics and turbulence regulate the solar FIP effect.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Exploring the link between wave activity in the photospheric velocity driver and the FIP bias in the solar corona.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Radiative hydrodynamic simulations of first ionization potential fractionation in solar flares.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
See all related articles

This paper explores e-science and Grid computing, highlighting early Grid examples and UK projects. It discusses open standards, data challenges, and the future of Grid-enabled collaboratories.

Area of Science:

  • Computer Science
  • Information Science

Background:

  • Overview of Grid computing technological context.
  • NASA's Information Power Grid as an early prototype.
  • Contextualization within the UK e-Science Programme.

Purpose of the Study:

  • To discuss e-science and Grid developments.
  • To examine standardization processes for Grid middleware.
  • To consider implications of data deluge and future collaboratories.

Main Methods:

  • Review of technological context and Grid developments.
  • Case studies of UK e-science projects.
  • Comparison of standardization approaches (Open Standards vs. community-based).

Main Results:

Related Experiment Videos

  • NASA's Information Power Grid as a prototype.
  • UK e-science projects illustrate Grid applications.
  • Open Standards approach in Global Grid Forum.

Conclusions:

  • Grid computing is advancing e-science across disciplines.
  • Standardization is crucial for Grid middleware development.
  • Grid-enabled collaboratories present social and technological challenges.