Data-Intensive Computing Research and Education
Project partially funded by National Science Foundation Grant
NSF-DUE-CCLI-0920335: PI B. Ramamurthy, $249K.
An Excerpt from the funded grant (2009-2014)
Data-intensive computing has been receiving much attention as a collective
solution to address the data deluge that has been brought
about by tremendous advances in distributed systems and
Internet-based computing. An innovative programming models
such as MapReduce and a peta-scale distributed file system to
support it have revolutionized and fundamentally changed
approaches to large scale data storage and processing.
These data-intensive computing
approaches are expected to have profound impact on any
application domain that deals with large scale data, from
healthcare delivery to military intelligence. A new forum
called big-data computing group
has been formed by a consortium of industrial stakeholders and
agencies including NSF and CRA (Computing Research Associates)
to promote wider dissemination of the big-data solutions and
transform mainstream applications. Given the omnipresent
nature of large scale data and the tremendous impact they have
on a wide variety of application domains, it is imperative to
ready our workforce to face the challenges in this area. This project aims to improve
the big-data preparedness of diverse STEM
audience by defining a comprehensive framework for education
and research in data-intensive computing.
A new certificate program in data-intensive computing
approved by SUNY and is offered by the University.
The details are in the