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name a few. However, the construction of a production-quality, heteroge-
neous, general-purpose ubiquitous grid is in its infancy. Such a grid will
be transparent to the users and, as such, requires coordinated resource
sharing and problem solving in a dynamic, multi-institutional scenario
using standard, open, general-purpose protocols and interfaces that
deliver a high quality of service. The immediate focus of grid deployment
continues to be on the difi cult issue of developing high-quality middle-
ware* to deal with issues including interoperability, security, performance,
management, and privacy.
2.2
In the twenty-i rst century, leading academic institutions will embrace
our digital data-driven society and empower students to compete in this
knowledge-based economy. In order to support research, scholarship, educa-
tion, and community outreach, Miller's Cyberinfrastructure Laboratory
is dedicated to the integration of research in disciplinary domains (e.g.,
science, engineering, nontraditional areas of high-performance comput-
ing), with research in enabling technologies and interfaces. The goal is to
allow students and scientists to transparently collect, manage, organize,
analyze, and visualize data without having to worry about details such as
where the data are stored, where the data are processed, where the data
are rendered, and so forth. This ease of use and high availability of data
and information processing tools will allow for revolutionary advances in
science, engineering, and beyond.
Cyberinfrastructure in Buffalo
2.2.1
New York State Grid
The design, development, and deployment of the New York State Grid
(NYS Grid) was led by Miller's Cyberinfrastructure Laboratory. The NYS
Grid includes resources from institutions throughout New York State and
is available in a simple and seamless fashion to users worldwide. § The
NYS Grid contains a heterogeneous set of resources and utilizes general-
purpose IP networks (Green and Miller, 2003, 2004a-c). A major feature of
the NYS Grid is that it integrates a computational grid (compute clusters
* www.nsf-middleware.org/.
www.cse.buffalo.edu/faculty/miller/CI/.
Binghamton University, Columbia University, Cornell University, Geneseo State College,
the Hauptman-Woodward Medical Research Institute, Marist College, New York
University, Niagara University, Rochester Institute of Technology, Stony Brook University
(SUNY), Syracuse University, University at Albany, University at Buffalo, and the
University of Rochester.
§ The NYS Grid has been used by users who are members of virtual organizations afi liated
with the Open Science Grid and directly with the NYS Grid.
 
 
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