October 21, 2002
Contact: Ron Cichowicz
[412/624-4007; cich@pitt.edu]
Pitt Professor Receives National Science Foundation
Grant to Study Wide Area Applications
PITTSBURGH—Vladimir Zadorozhny, an assistant professor
in the Department of Information Science and Telecommunications
in the University of Pittsburgh’s School of Information
Sciences, has received a three-year, $450,000 grant from the
National Science Foundation (NSF) to study ways of improving
the performance of networks known as wide area applications
(WAAs).
The study, titled “ITR Digital Resource Profiling for
Wide Area Applications,” is a collaborative research
project that also includes investigators from the University
of Maryland at College Park and Technicon University in Haifa,
Israel. The Corporation for National Research Initiatives
(CNRI) will be the commercial partner in the study.
WAAs can be defined loosely as large computer networks that
connect users, allowing, for instance, a researcher in America
to access a database in Australia that contains massive amounts
of information about the stars.
NSF initiated the Information Technology Research (ITR) program
in 2000. In the first year, the program focused on fundamental
research and education in information technology (IT). In
the second year, the program was expanded to include an additional
focus on research and education activities that applied IT
to science and engineering challenges. The program now includes
a component to enable research and education in multidisciplinary
areas such as bioinformatics.
Today, the performance of WAAs may be unpredictable due to
the variability of access to data and the ability to deliver
it. Zadorozhny and his colleagues will study the changing
behavior of digital resources over time and across different
applications accessed through a dynamic wide area network
such as the Internet. They intend to develop resource profiles
that can be used to customize service and information delivery
to clients. The goals are to establish a consistent framework
for this process, called profiling, and to determine the extent
to which profiling can be used to improve accessibility to
resources. The results of the research will considerably improve
performance of WAAs by speeding delivery of resources and
optimizing the consumption of bandwidth resources.
Both undergraduate and graduate students will participate
in the research, and a course familiarizing students with
this next generation aspect of the Internet will be developed
and will include an internship program with CNRI.
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