Biology Reference
In-Depth Information
Chapter 7
Support for Cooperative Experiments
in e-Science: From Scientific Workflows
to Knowledge Sharing
Adam S. Z. Belloum , Reginald Cushing, Spiros Koulouzis,
Vladimir Korkhov, Dmitry Vasunin, Victor Guevara-Masis,
Zhiming Zhao, and Marian Bubak
Keywords
e-Science Work fl ow Storage resources Uniform interface
Geographically distributed computing resources Knowledge sharing Virtual
organization Material analysis of complex surface Preprocessing phase
Experimentation process Hyper-spectral data cube Multivariate data analysis
Integrated application Life-cycle Searching work fl ows Reproducibility of
results Interoperability between different work fl ows Dissemination Work fl ow
support Virtual data system Shared repository Process flow template Executable
operations Pegasus Proxy-service Single nucleotide polymorphism Individual
therapy
7.1
Introduction
The term e-Science describes computational and data-intensive science. It has
become a complementary experiment paradigm alongside the traditional in vivo and
in vitro experiment paradigms. e-Science opens new doors for scientists and with it,
A. S. Z. Belloum (
*
) R. Cushing S. Koulouzis V. Guevara-Masis Z. Zhao
The Informatics Institute , University of Amsterdam , Amsterdam , The Netherlands
e-mail: a.s.z.belloum@uva.nl ; r.cushing@uva.nl ; s.koulouzis@uva.nl ; z.zhao@uva.nl
V. Korkhov D. Vasunin
Faculty of Applied Math and Control Processes, St. Petersburg
State University , Saint Petersburg , Russia
e-mail: vkorkhov@gmail.com ; dvasunin@gmail.com
M. Bubak
AGH University of Science and Technology Krakow, Poland and the Informatics Institute,
University of Amsterdam , Amsterdam , The Netherlands
e-mail: bubak@agh.edu.pl; M.T.Bubak@uva.nl
Search WWH ::
Custom Search