Course: UCF EEL6938 Data-intensive computing and Cloud Class

Project ID
FG-191
Project Categories
Education
NSF Grant Number
0953946
NSF Grant URL
http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0953946
Completed
Abstract
Using large-scale computing systems to solve data-intensive real-world problems has become indispensable for many scientific and engineering disciplines. This course provides a broad introduction to the fundamentals in data intensive computing and its enabling systems architectures such as MapReduce, cloud computing and storage, with a focus on system architecture, middleware and building blocks, programming models, algorithmic design, and application development. Selected scientific applications will be used as case studies.
Use of FutureSystems
We will use FutureGrid resources as a testbed for course term projects.
Scale of Use
We have about 16 students in this class. Students may need one upto 50-node Hadoop cluster as their testbeds.