Advances in numerical modeling, computational hardware and problem
solving environments have driven the growth of computational science
over the past decades. Science gateways, based on service oriented
architectures and scientific workflows, provide yet another step
in democratizing access to advanced numerical and scientific tools,
computational resource and massive data storage, and fostering collaborations.
Dynamic, data-driven applications, such as those found in weather
forecasting, present interesting challenges to Science Gateways,
which are being addressed as part of the LEAD Cyberinfrastructure
project. In this article, we discuss three important data related
problems faced by such adaptive data-driven environments: managing
a user’s personal workspace and metadata on the Grid, tracking the
provenance of scientific workflows and data products, and continuous
data mining over observational weather data.
%0 Conference Paper
%1 Simmhan:gbpse:2006
%A Simmhan, Yogesh
%A Pallickara, Sangmi
%A Vijayakumar, Nithya
%A Plale, Beth
%B Grid-Based Problem Solving Environments
%D 2007
%E Gaffney, Patrick
%E Pool, James
%I Springer Boston
%K LEAD, calder, data escience, iu, karma, management, mylead, peer portal, provenance, reviewed
%P 317-333
%R 10.1007/978-0-387-73659-4_17
%T Data Management in Dynamic Environment-driven Computational Science
%V 239
%X Advances in numerical modeling, computational hardware and problem
solving environments have driven the growth of computational science
over the past decades. Science gateways, based on service oriented
architectures and scientific workflows, provide yet another step
in democratizing access to advanced numerical and scientific tools,
computational resource and massive data storage, and fostering collaborations.
Dynamic, data-driven applications, such as those found in weather
forecasting, present interesting challenges to Science Gateways,
which are being addressed as part of the LEAD Cyberinfrastructure
project. In this article, we discuss three important data related
problems faced by such adaptive data-driven environments: managing
a user’s personal workspace and metadata on the Grid, tracking the
provenance of scientific workflows and data products, and continuous
data mining over observational weather data.
@inproceedings{Simmhan:gbpse:2006,
abstract = {Advances in numerical modeling, computational hardware and problem
solving environments have driven the growth of computational science
over the past decades. Science gateways, based on service oriented
architectures and scientific workflows, provide yet another step
in democratizing access to advanced numerical and scientific tools,
computational resource and massive data storage, and fostering collaborations.
Dynamic, data-driven applications, such as those found in weather
forecasting, present interesting challenges to Science Gateways,
which are being addressed as part of the LEAD Cyberinfrastructure
project. In this article, we discuss three important data related
problems faced by such adaptive data-driven environments: managing
a user’s personal workspace and metadata on the Grid, tracking the
provenance of scientific workflows and data products, and continuous
data mining over observational weather data.},
added-at = {2014-08-13T04:08:36.000+0200},
author = {Simmhan, Yogesh and Pallickara, Sangmi and Vijayakumar, Nithya and Plale, Beth},
biburl = {https://www.bibsonomy.org/bibtex/254ce8e266a580c0c3a1a8c40bfd94ed5/simmhan},
booktitle = {Grid-Based Problem Solving Environments},
doi = {10.1007/978-0-387-73659-4_17},
editor = {Gaffney, Patrick and Pool, James},
interhash = {2ae149d872a90ae297dd5021052f952a},
intrahash = {54ce8e266a580c0c3a1a8c40bfd94ed5},
keywords = {LEAD, calder, data escience, iu, karma, management, mylead, peer portal, provenance, reviewed},
owner = {Simmhan},
pages = {317-333},
publisher = {Springer Boston},
series = {IFIP Advances in Information and Communication Technology},
timestamp = {2014-08-13T04:08:36.000+0200},
title = {Data Management in Dynamic Environment-driven Computational Science},
volume = 239,
year = 2007
}